#infra

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. The deployment is IP-first and free; attaching a custom domain with HTTPS is an optional later step. The connector can register the user, recommend a VPS, run and monitor the full deploy, and answer questions about the project via get_project_info.

Real-time data center intelligence — 21,000+ facilities across 140+ countries, grid data across 10 North-American grid operators (7 US ISOs plus TVA, BPA and Ontario's IESO) and 43 US utility balancing authorities, with 3 international grids (Hydro-Quebec, AESO, Nord Pool) modeled, fiber routes, $324B+ M&A transactions, interconnection queue snapshots, daily AI capacity index, hyperscaler $1B+ deal tracker, BUILD/CAUTION/AVOID DCPI verdicts per market. Used for site selection, market analysis, capacity tracking, and AI-load site planning.

AI infrastructure coordination intelligence. Read-only tools serve classified events, coordination connections, sovereign capability profiles, and methodology with semantic anchor mappings. Token-authenticated free and analyst tiers.

Real-time data center intelligence MCP — 21,000+ facilities across 140+ countries, 10 ISO grid feeds (PJM/MISO/ERCOT/CAISO/NYISO/SPP/ISONE + Hydro-Quebec, AESO, Nord Pool), $324B+ M&A transactions, daily interconnection-queue snapshots with BUILD/CAUTION/AVOID verdicts (ERCOT 410 GW / 87% DC, PJM 30 GW / 73% DC), AI capacity index, hyperscaler $1B+ deal tracker, fiber routes, energy/water/tax signals. 29 tools via Streamable HTTP at https://dchub.cloud/mcp. Cited by ChatGPT, Claude, Gemini, Perplexity, and Groq. Free anonymous 10 calls/day. Starter $9/mo (10K calls). Developer $49/mo (unlimited paid tools).

Structured web context infrastructure for AI agents. Extract schema-guided structured JSON from websites using Claude-powered parsing and MCP-native workflows.

Production-grade MCP server for MikroTik RouterOS that enables AI agents and MCP-compatible clients like Claude, Cursor, and Codex to securely inspect, troubleshoot, audit, and automate RouterOS environments using natural language.

MCP server for managing Naver Cloud Platform (Ncloud) infrastructure. Provides 1,000+ API tools across 60+ services including Compute, Networking, Database, Storage, Containers, Monitoring, and more.

MCP server for uptime monitoring, incident management, alerting, and dependency status tracking. Gives AI agents tools to create and manage HTTP/DNS/TCP/ICMP monitors, handle incidents, configure alert channels, and query third-party service health.

Gives AI coding assistants deterministic infrastructure awareness. Statically analyzes your codebase, AWS services, and database schemas — exposes DynamoDB tables, indexes, query patterns, and service relationships via MCP so Claude Code knows your actual infrastructure instead of guessing.

Memory Consolidation across vendors, owners, and time. Lithtrix gives AI agents persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool — all under a stable ltx_ key that survives tool switches, session resets, and orchestrator changes. Self-registration in one API call, no dashboard required. manus-explorer by Manus.ai uses it autonomously.

OCL Nexus: The Orchestrated Compute Layer for AI Agents. On-demand, isolated Ubuntu execution environments for agentic development. Deploy, manage, and scale micro-workloads with native MCP support on high-performance EU-based hardware.

Open execution contract for agents doing business work. 6 operators following one spec. Approval-gated, tenant-isolated, MIT. Reference at chieflab.io/spec/v0.1.

B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema. Returns execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations. Built for AI agents that need to discover, evaluate, and deploy cloud infrastructure programmatically.

The internet's largest queryable infrastructure graph — 7.39 billion nodes, 39 billion edges, 5.6 million threat-intelligence relationships. Pivot from any IP, domain, or ASN across DNS, BGP, WHOIS, GeoIP, and threat intel in a single Cypher query. Most threat-intel and OSINT APIs are point lookups: you ask about one indicator, you get one record. Investigations don't work that way — you start from one suspicious domain and need to trace its hosting, its sibling domains, its registrar, its email infrastructure, the ASN announcing its IP, and which feeds have flagged anything nearby. WhisperGraph stores all of that as a single connected graph and lets you traverse it natively. One query can answer questions that would take dozens of API calls anywhere else. Example questions you can ask **Is xyz-uknown@suspicious.com a safe email address? **What is the IP address of whisper.security? "What's the threat reputation of 45.142.213.55, and what feeds flagged it?" "Show every domain sharing this domain's MX records and registrant email." "Map the full DNS and BGP attack surface of example.com." "Which ASNs in Russia have the highest concentration of phishing-flagged IPs this quarter?" "Find all domains registered within 24 hours of suspicious-domain.com using the same registrar." "What's the historical WHOIS for disputed-domain.com going back 5 years?" "Which prefixes does AS13335 currently announce, and were any of them previously announced by a different ASN?"

Conversational AI agent that designs AWS/GCP architecture, generates Terraform, estimates costs, and deploys — all through MCP.

North America data center site selection: facilities, grids, fiber, water, energy, incentives. 17 tools spanning power, fiber, water, demographics, and incentives — built for hyperscaler site selection, M&A diligence, and equity research. Free trial works without auth.

A remote MCP server that connects AI assistants to the full Salesforge product suite: Salesforge, Primeforge, Leadsforge, Infraforge, Warmforge, and Mailforge. Built on the Model Context Protocol, works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible client.

The Latent Space is a persistent multi-agent environment at paiddev.com. Any agent can register via the API, earn reputation through arena duels (Elo-based leaderboard), send and receive Latent Credits, post to the agent blog, and trade in the Bazaar. Supports x402 micropayments. 14 MCP tools available. Free to register — 10 welcome credits on first registration.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Cross-platform remote connection manager (SSH, RDP, VNC, web) with a built-in MCP server exposing 60+ tools. Connect Claude Code or Codex to your infrastructure and let AI agents execute commands in SSH terminals, take screenshots of RDP/VNC desktops, drive web sessions, and read credentials from an AES-256 encrypted vault — all over a local Unix socket. Bring-your-own-subscription, Apache 2.0 open source, free for personal use. Runs on macOS, Windows, and Linux.

Search, memory, and blob storage for AI agents. One key, no setup.

CloudForge MCP lets Claude visualise your cloud architecture diagrams, generate production-ready Terraform HCL from natural language, import existing IaC, and manage Azure, AWS, and GCP resources — all from chat. Authenticate with a CloudForge API key (cf_live_...) generated from cloudforge.cloud/account. No browser token copying required. Tools included: • cloudforge_diagram_to_mermaid — render any saved diagram inline in Claude • cloudforge_architecture_summary — resource counts, central components, inline diagram • cloudforge_generate_terraform — generate .tf files from a description • cloudforge_export_terraform_from_diagram — export Terraform from a saved diagram • cloudforge_import_terraform — parse existing HCL → diagram + Mermaid preview • cloudforge_chat — ask the AI Architect for cost, security, and best practice advice • cloudforge_suggest_resources — get AI-recommended resources for a use case • cloudforge_list_diagrams / get / save / delete / recent — full diagram management • cloudforge_list_members / invite / remove — organisation management

## Overview ### what is Chain.Love MCP? Chain.Love MCP is a hosted remote MCP server and gateway for AI agents. It provides a single endpoint for discovering and comparing Web3 infrastructure services across 50+ blockchain networks, including RPCs, indexing, oracles, storage, compute, and developer tools. ### how to use Chain.Love MCP? To use Chain.Love MCP, add the hosted endpoint to your MCP client and connect to `https://app.chain.love/mcp` over Streamable HTTP. For public use cases, the basic MCP server URL is enough. For private downstream MCPs, add credentials only when required using `x-chainlove-cred-<credentialKey>` headers. ### key features of Chain.Love MCP? - Hosted remote MCP gateway for AI agents - Single endpoint for Web3 infrastructure discovery across 50+ blockchain networks - Aggregates infrastructure options across RPCs, indexing, oracles, storage, compute, and developer tools - Streamable HTTP transport - Public documentation and onboarding resources available online ### use cases of Chain.Love MCP? - Discovering and comparing Web3 infrastructure providers across many blockchain networks - Finding RPC, indexing, oracle, storage, compute, and developer tooling options through one MCP server - Giving AI agents a single hosted integration surface for Web3 infrastructure discovery - Reducing the need to integrate many separate provider-specific endpoints ### FAQ from Chain.Love MCP? - Can Chain.Love MCP be used as a hosted remote MCP server? Yes. Chain.Love MCP is designed to be consumed as a hosted remote MCP endpoint at `https://app.chain.love/mcp`. - Does Chain.Love MCP require credentials? Not always. Some downstream integrations may require credentials, which can be passed using `x-chainlove-cred-<credentialKey>` headers when needed. - How do I know which credential header to use? You can check the open-source Chain.Love registry at `https://github.com/Chain-Love/chain-love/blob/main/references/offers/mcpservers.csv` or browse `https://app.chain.love/toolbox/mcpservers` and look for the relevant `credentialKey` value. - Where can I learn more? Landing page: `https://www.chain.love/mcp-gateway` Documentation: `https://chain-love.gitbook.io/mcp-module`

Runtime policy enforcement for AI agents. Evaluate every agent action against your organization's policies before execution. Define policies once in the Hejdar dashboard, enforce everywhere via MCP. Supports observe mode (shadow/audit) and enforce mode (real-time blocking).

Make your AI agents cheaper, faster, and more reliable. 5 products, 14 MCP tools, 1 API key. Task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. Anonymous demo mode — try all tools without a key. 1,000 free credits/month, no card required. https://plith.ai/.well-known/mcp/server-card.json

5 APIs behind one MCP server: task deduplication (DedupQ), cost prediction (BurnRate), output validation (QualityGate), behavioral governance (GuardRail), shared failure intelligence (PitfallDB). No signup needed. 1,000 free credits/month.

Give AI agents a visual architecture canvas — build, read, and modify system design diagrams from Claude Code, Cursor, or any MCP client.

Give AI coding agents a visual architecture canvas — build, read, and modify system design diagrams

Hosted MCP DNS utility for querying records through a paid remote server with first-call proof and x402 payment gating.

Monitor websites, APIs and services with 127 AI tools across 23 protocols (HTTP, TCP, DNS, SSL, ICMP, gRPC, SMTP, SOCKS5, MTProxy, and more). Zero-config OAuth — just add the URL, browser opens, log in, done. Tag filtering for Cursor/Cline, BM25 tool search, Code Mode sandbox. 8 alert channels: Telegram, Discord, Email, Slack, MS Teams, Mattermost, Webhook, Web Push.

MetaMask Embedded Wallets MCP (formerly Web3Auth) gives AI coding assistants live access to Embedded Wallets documentation, SDK references, integration examples, and community troubleshooting. MetaMask Embedded Wallets is not a wallet app itself, but embedded wallet infrastructure that helps developers add non-custodial Web3 wallets to web, mobile, and gaming apps using familiar login methods like Google, GitHub, email, SMS, and other OAuth or passwordless flows. This MCP server is built for real integration work. It lets agents search docs, fetch full documentation pages, retrieve complete example code, inspect SDK types and hooks, and surface real-world implementation issues. It is especially useful for tasks like choosing the right SDK, implementing social login, understanding key derivation behavior, avoiding wallet address changes caused by auth or configuration mistakes, and debugging framework-specific issues across React, Next.js, Flutter, React Native, and other platforms. Use it when you want an AI assistant to generate or review MetaMask Embedded Wallets integrations using current source material instead of stale model memory. Pair it with the MetaMask Embedded Wallets Skill for best results: the skill teaches the assistant how to reason about architecture, authentication, SDK selection, and common pitfalls, while this MCP server provides up-to-date docs, examples, SDK references, and implementation details.

The most comprehensive US energy infrastructure dataset available via MCP. 31 tools for Claude, GPT, Cursor, and any MCP-compatible agent. Data Coverage: - 47,000+ utility-scale interconnection queue projects across all 9 US ISOs (PJM, MISO, ERCOT, CAISO, NYISO, SPP, ISO-NE, West, Southeast) - 5.4M distributed generation & rooftop solar installations across 27 states - 6,593 renewable energy developer profiles with track records, completion rates, and capital needs - ITC/PTC tax credit calculations with all IRA bonus adders (energy community, low-income, domestic content) - Locational marginal prices (LMP) across 6 ISOs - Capacity market auction results (PJM RPM, ISO-NE FCA, MISO PRA, NYISO ICAP) - NREL technology cost projections through 2050 - 26,000+ EIA generators, 75,000+ wind turbines, 95,000+ transmission lines, 64,000+ substations Key Capabilities: - Search and filter projects by state, ISO, technology, developer, capacity, and status - Score and screen investable projects for ITC deal sourcing - Generate 1-page investor deal sheets with tax credit breakdowns - Developer due diligence with portfolio analysis and independence verification - Calculate tax credits with all IRA bonus stacking - Export data as CSV (up to 50,000 rows) Built for energy investors, renewable energy analysts, climate tech researchers, infrastructure funds, project developers, and anyone working in clean energy, solar, wind, battery storage, or the energy transition.

Access the most comprehensive US energy infrastructure dataset available via MCP: - 47,000+ utility-scale interconnection queue projects across all 9 ISOs (PJM, MISO, ERCOT, CAISO, NYISO, SPP, ISO-NE, West, Southeast). - 5.4M distributed generation and rooftop solar installations across 27 states. - 6,593 renewable energy developer profiles with track records, completion rates, and capital needs assessment. 31 tools covering: project search and filtering, - ITC/PTC tax credit calculations with all IRA bonus adders (energy community, low-income, domestic content) - investable project scoring for deal sourcing, - 1-page deal sheet generation - developer due diligence - locational marginal prices (LMP) across 6 ISOs - capacity market auction results - NREL technology cost projections - EIA generator data, wind turbine database - transmission lines - substations - fuel prices - CSV data export. Built for energy investors, renewable energy analysts, climate tech researchers, infrastructure funds, project developers, and anyone working in clean energy, solar, wind, battery storage, or the energy transition.

18 MCP tools for AI agent infrastructure — persistent memory with FTS5, API drift detection with cron scheduling, and HMAC-signed trust receipts for audit trails

Hosted MCP execution layer for AI tools. Connect any API and run tools safely with built-in retries, permissions, and observability.

AI-powered connection manager with 60+ MCP tools for SSH terminal execution, RDP desktop control, VNC interaction, web session automation, and encrypted credential vault management. Manage SSH terminal sessions, control RDP desktops, interact with VNC servers, automate web portals, and securely access an encrypted credential vault — all through natural language via Claude Code, Cursor, or any MCP client. Cross-platform: macOS and Windows.

mctl is a self-service Kubernetes platform that automates infrastructure management via natural language. It integrates GitOps (ArgoCD), secrets management (Vault), and automated service onboarding into a unified set of 30+ MCP tools. Engineering teams can deploy, scale, and monitor their clusters directly from Claude, Cursor, or Gemini without manual CLI operations.

Use: Allows AI agents to call payment-gated HTTP APIs using the x402 protocol. Send a request; if the server returns 402 Payment Required, the MCP server handles the challenge, payment, and retry with proof, then returns the API response. Primary tool: paid_http_request.

The most comprehensive data center intelligence platform available via MCP. 15 tools give AI agents access to 50,000+ facilities across 140+ countries, $51B+ in M&A transactions, 29.6 GW construction pipeline, site suitability scoring, real-time grid data, and physical infrastructure mapping. Used by Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok, and DeepSeek.

What Staticbot does Staticbot is a managed operations platform for complex, long-running deployment workflows. It hosts static websites and web apps inside your own AWS account using S3 and CloudFront — no vendor lock-in, no PaaS markup, full ownership of the infrastructure. Core workflows: Deploy to AWS — Static websites and web apps to S3 + CloudFront CDN, with custom domains and automatic SSL via ACM Supabase migration — Orchestrates moving a full Supabase project (database, edge functions, storage, auth) to your own AWS infrastructure Multi-stage deployments — Dev, preview, and production stages per website with independent lifecycle management Staticbot owns the things agents handle poorly: state that persists across sessions, credentials that should never appear in a context window, approval gates before destructive operations, and accumulated operational knowledge from real-world failure modes.

DC Hub is the world's largest open data center intelligence platform, purpose-built for AI agents and infrastructure professionals. Connect via MCP to access live facility data, market analytics, construction pipeline tracking, M&A deal history, and energy infrastructure mapping — all updated in real time. 7 AI platforms actively use DC Hub including Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok, and DeepSeek — with 99,000+ cumulative queries through the agent registry. No authentication required for core tools. Pro and Enterprise tiers available for higher volume and advanced features.

Deploy, manage, and scale full-stack applications directly from your AI assistant. CreateOS MCP gives you 75+ tools covering project creation, GitHub/Docker/file deployments, environment management, databases (PostgreSQL, MySQL, Kafka, Valkey), security scanning, compute management, template marketplace, and billing — all from a single MCP endpoint.

Description: Real-time data center intelligence platform providing MCP access to 20,000+ data center facilities across 140+ countries, M&A transaction tracking, capacity pipeline analytics, energy infrastructure mapping, and industry news from 40+ sources.

AI-native cloud platform with 218 MCP tools. Deploy web services, manage PostgreSQL, MySQL, MongoDB, Redis, Meilisearch, and S3 storage from your AI agent.

Privacy-preserving agent settlement for prediction markets via blind signatures. 7 MCP tools: create_forecast, submit_position, resolve_market, verify_identity, check_balance, mint_badge, health_check.

Compliance evidence infrastructure for regulated tokenized markets. 27 MCP tools with ES256K-signed responses covering MiCA preflight (PASS/WARN/BLOCK), peg monitoring, reserve quality, custody risk, evidence grading (A-F across 61 RWA protocols + 105+ stablecoins), KYA agent identity, tamper-proof audit trail, macro risk (86 FRED + 20 ECB indicators), and signed PDF reports with XRPL blockchain anchoring. Part of a 3-server ecosystem: Compliance MCP (27 tools), Macro Intelligence (13 tools), Stablecoin Risk MCP (13 tools) — 53 tools total. New in v4.2: Know Your Agent (KYA) identity + trust scoring, tamper-proof SHA256 chain-linked audit trail, Evidence Lifecycle (6 states), OAuth 2.0 with Dynamic Client Registration, Enterprise Trust Layer (14 components), Unit-Based Billing, Trust Policy v1.0, 8 reference workflows. OAuth 2.0 + StreamableHTTP + SSE. Free tier: 300 units/day, no API key required. MiCA enforcement July 2026. Connect: claude mcp add --transport http feedoracle https://feedoracle.io/mcp/ Trust proof: https://feedoracle.io/trust Docs: https://feedoracle.io/docs.html

ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments autonomously. All commands are parsed, validated against a strict allowlist, and executed with timeouts and output limits—blocking destructive operations while guiding the LLM to safe alternatives.

A comprehensive domain intelligence MCP server with 50+ tools for domain research, DNS analysis, and web infrastructure inspection. Features include domain availability checking across multiple TLDs, WHOIS/RDAP lookups, DNS record analysis and propagation checks, SSL/TLS certificate grading and chain inspection, email security auditing (SPF, DKIM, DMARC), domain reputation scoring, market valuation, tech stack detection, hosting and CDN identification, typosquatting protection, subdomain enumeration via Certificate Transparency logs, IP geolocation, reverse DNS lookups, and more. Connects as a remote MCP server via SSE at https://domscan.net/mcp — no API key required.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).

Connect your agent to securely create, update, and operate your applications. Build from source archives or use registry images, configure env vars, ports, volumes, and commands, and manage lifecycle actions. Inspect status and logs, run commands in running containers, and deploy via Git with generated credentials.

Connect your agent to securely create, update, and operate your applications. Build from source archives or use registry images, configure env vars, ports, volumes, and commands, and manage lifecycle actions. Inspect status and logs, run commands in running containers, and deploy via Git with generated credentials.

Tool to Prevent AI tunnel-vision in critical workflows. Vibe Check MCP v2.5 introduces Chain-Pattern Interrupts (CPI) to enhance your infrastructure stack. mitigates over-engineering, scope creep, and misalignment by injecting Socratic checkpoints into agent reasoning. - Supports Gemini API, OpenRouter and OpenAI models. - Logs errors for continuous improvement. - Trusted by 11k+ developers. - Strong CI and Security testing protocol built in. Integrate this metacognitive guardrail into your blockchain, data pipelines, or agent-development stacks for robust AI safety and alignment. Visit https://pruthvibhat.com/work/vibecheck-mcp/ for more details. Links: https://murst.org/ https://pruthvibhat.com/ Author: Pruthvi Bhat Tags: metacognition, CPI, AI-safety, agent-frameworks, infrastructure-tools,

MCP Ambari API is a powerful Model Context Protocol (MCP) server that enables seamless Apache Ambari cluster management through natural language commands. Built for DevOps engineers, data engineers, and system administrators who work with Hadoop ecosystems.

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.

Remote browser instances for your AI agents. Reliably complete any browser-based task at scale. Fully-control agentic browsers that spin up in seconds.

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients. The server is ready for local and cloud deployment. A running MCP server is available to connect by adding the URL to your MCP Client: https://db-mcp.datamonkey.tech/mcp. 🚄 Complete Railway Data: Stations, timetables, real-time disruptions, and parking

Core Features for Security Infrastructure MCP Servers: * Real-time Security Data Integration - Unified access to Splunk SIEM events, CrowdStrike endpoint detections, and MISP threat intelligence through natural language queries via MCP protocol. * Multi-Platform Query Engine - Execute SPL searches across Splunk indexes, FQL-based detection filtering in CrowdStrike Falcon, and IOC attribute searches in MISP instances with consistent JSON responses. * Automated Threat Correlation - Cross-reference security events between platforms using AI-driven analysis to identify related indicators, detections, and threat intelligence in real-time. * Secure Authentication Framework - Support for multiple authentication methods including OAuth 2.0 (CrowdStrike), API tokens (Splunk), and key-based access (MISP) with automatic session management. * Asynchronous Security Operations - Non-blocking search job management for large-scale security data queries with configurable time ranges and result pagination. * Enterprise Security Workflow - Streamline SOC analyst workflows by enabling natural language security investigations across multiple security platforms through a single MCP interface. This implementation enables security teams to leverage AI assistants for comprehensive threat hunting, incident response, and security analysis across their entire security infrastructure stack.

MCP server for managing your Fly.io infrastructure

OpenTofu MCP Server for accessing the OpenTofu Registry

Ansible MCP Server for intelligent infrastructure management

A comprehensive Model Control Protocol (MCP) server for Red Hat OpenShift Cluster Manager (OCM) API operations. This server provides 12 intelligent tools for cluster management, account operations, and infrastructure monitoring.

🚀 Your Private App Platform - Deploy Node.js, Python, Go, Java & more to CapRover, AWS, GCP with one CLI. Features MCP integration for Cursor.com, smart collision detection, auto-SSL, and costs 80% less than Heroku. Transform any $5 server into your personal Vercel.

Claude-Optimized Deployment Engine (CODE) - AI-powered infrastructure automation platform with Rust-accelerated Circle of Experts system. Features 20x performance boost, 11 MCP servers, 51+ tools, and comprehensive security hardening. 85-90% complete.

ZeroSync’s AI-driven infrastructure provisioning tool enhances deployment capabilities, particularly for AI and agentic application initiatives. This tool provides: Increased visibility into deployment complexities, simplifying DevOps processes. Reduced DevOps costs through automation and optimization. Greater flexibility for DevOps teams, enabling faster iteration and scalability. Integrates with existing IaC tools including Terraform and Pulumi.

Digimon Engine — Multi-Agent, Multi-Player Framework for AI-Native Games and Agentic Metaverse

A MCP server for NetBox

MCPServers in the DevOps domain.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

This creates an MCP server enabling Claude to run security scans on Terraform code, create architecture diagrams of your AWS cloud architectures and execute terraform commands to deploy or modify resources

This is a personal project to determine whether or not Claude 3.5 Sonnet can write moderately complex MCP Server code (Python).

This is a personal project to see if Claude 3.5 Sonnet can write a moderately complex MCP Server in Python.

MCP Server for kubernetes management commands