#spec

Run personalised outreach campaigns and manage conversations using a virtual computer equipped with email capabilities, research tools, and workflow automation. Email Outreach by OpenHelm enables your agent to carry out work such as: • Prospect research • Personalised outbound email campaigns • Lead qualification • Follow-up sequences • Inbox monitoring and response handling What makes OpenHelm the best solution for this: • AI continuously monitors conversations and adjusts actions to maximise outcomes • Deep research capabilities enable highly personalised outreach at scale • Multi-step workflows coordinate research, sending, follow-ups, and response management • Operates within a secure remote environment isolated from your local machine For organisations looking to generate opportunities through outbound communication, OpenHelm provides the infrastructure needed to run sophisticated outreach workflows autonomously.

Xmagnet — the next-gen email marketing & sales platform. Connect Claude/GPT to find prospects, launch AI-personalized campaigns, run multi-step sequences, and manage your pipeline through natural conversation

Agent-native B2B lead enrichment. Search, score, and subscribe to enriched company data with firmographics, tech stack signals, and buying intent.

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.

AI agent readability scanner — score any public URL against the Vercel Agent Readability Spec, llmstxt.org, and 6 agent-protocol manifests (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. Same engine as agent-ready.dev.

Bridge between Ableton Live and AI models. Inspect tracks, analyze audio (LUFS, spectrograms), and control mixing parameters in real-time via MCP.

DevSpeak bridges the gap between product and engineering. Powered by Gemini AI, it instantly translates ambiguous stakeholder requirements into structured technical specs, Jira tickets, and API designs tailored to your specific tech stack and audience level.

Search, save, and export from a database of 220M+ B2B contacts. Filter by job title, seniority, industry, location, company size, and more.

Access Versium's B2B2C identity graph directly through your AI agent. Generate targeted lead lists, enrich records with contact and firmographic data, validate emails, and size audiences — all through natural language. No manual exports or API coding required. Requires an active Versium REACH subscription with API access.

Search live food safety data from FDA, FSIS, CDC, and city health departments (NYC, Chicago, SF, Seattle, Boston). 5 tools: search recalls, outbreaks, alerts, restaurant inspection articles, and food safety guides. Data aggregated from 25+ public government sources via Panko Alerts (alerts.getpanko.app).

Search live food safety data from FDA, FSIS, CDC, and city health departments (NYC, Chicago, SF, Seattle, Boston). 5 tools: search recalls, outbreaks, alerts, restaurant inspection articles, and food safety guides. Data aggregated from 25+ public government sources via Panko Alerts (alerts.getpanko.app).

Safari DevTools MCP — real browser debugging with network interception, DOM inspection, cookie/storage management, and CSS analysis for AI agents on macOS

Catch spec drift before it catches you. Pituitary indexes your specs, docs, and decision records, then detects overlap, contradictions, stale docs, and code that drifts from what was decided. 6 tools for spec-aware AI workflows: - search_specs: semantic search across indexed spec sections - check_overlap: detect specs that cover overlapping ground - compare_specs: side-by-side tradeoff analysis of two specs - analyze_impact: trace which specs, docs, and code paths are affected when a spec changes - check_doc_drift: find docs that contradict accepted specs - review_spec: full composite review (overlap + comparison + impact + drift + remediation) Single Go binary. One SQLite file. No API keys required. Deterministic by default.

MCP server that gives AI agents read-only access to Google Search Console: search analytics, URL inspection, and sitemap status.

MCP server that annotates any web page with hover labels for AI assistants. Reverse proxy injection — zero browser extensions, works in any browser. 5 tools: annotate, get_elements, highlight_element, rescan_elements, inspect_mode.

Automatically introspects your Rails application and exposes schema, models, routes, controllers, views, auth, tests, config, and conventions to AI assistants via MCP. 9 read-only tools, zero configuration. Works with Claude Code, Cursor, Windsurf, and GitHub Copilot.

Talk to your databases in natural language. Multi-database MCP server (PostgreSQL, MySQL, SQLite) with 19 tools for connection management, schema introspection, query execution, rollback snapshots, and query history. Auto-discovers schema with FKs so AI agents can build JOINs from natural language. Confirmation required for destructive ops. Zero config.

MCP server + CLI that scans any project to discover its full AI ecosystem: MCP servers, context files, skills, agents, memories, and configurations for 19+ AI tools (Claude, Cursor, Windsurf, Copilot, Gemini, Codex, and more). Generates interactive HTML dashboards and supports ecosystem export/import across tools.

Gives AI coding tools the same CSS visibility you have in browser DevTools. Inspect the real rendered DOM, full CSS cascade, before/after style diffs, and element screenshots — all from your AI session. Zero setup, works via npx.

100-tool browser automation for AI agents via MCP. Screenshots, DOM inspection, network capture, form filling, cookie management, tab orchestration, session recording, and structured data extraction via Chrome extension. One-command setup: npx crawlio-browser init auto-configures 14 MCP clients.recording + 1 compiler) with framework-aware intelligence, typed evidence infrastructure, and confidence-tracked findings — captures what static crawlers can't see.

Read-only MCP server for AI agents to explore an 8-domain collaborative engineering knowledge base. Covers the design of Arcology One — a speculative mile-high city for 10 million people. 32 entries spanning structural engineering, energy systems, environmental systems, mechanical/electrical, AI & compute infrastructure, institutional design, construction logistics, and urban livability. 6 tools for search, parameter extraction, cross-domain consistency checking, and open question discovery.

Decode VINs, look up specs, history, recalls, market value, and OBD codes. Recognize license plates and VINs from images. Access comprehensive vehicle data by year, make, and model to power automotive workflows.

MCP server that generates production-grade engineering standards for AI coding assistants. Analyzes your project, auto-detects stack, and sets up instruction files with SOLID principles, testing targets, architecture patterns, CI/CD, and domain-specific rules. Composable YAML templates, 18 domain tags, audit tool, supports Claude, Cursor, Copilot, Windsurf, Cline, Aider. Local stdio server, open source (MIT).

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.

About An MCP (Model Context Protocol) server that provides structured access to ISO 32000 (PDF) specification documents. Enables LLMs to navigate, search, and analyze PDF specifications through well-defined tools.

mcp-probe-kit is a protocol-level toolkit designed for developers who want AI to truly understand their project's intent. It's not just a collection of 21 tools—it's a context-aware system that helps AI agents grasp what you're building.

MCP Server for accessing W3C/WHATWG/IETF web specifications. Provides AI assistants with access to official web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.

Stop pasting API docs. Let your LLM dynamically navigate OpenAPI/Swagger specs and extract precise JSON schemas on-demand.

Open-source MCP server for strategic reasoning and multi-perspective analysis. Connect AI agents to Counsel's debate-driven decision-making platform with support for consultations, advisor sessions, and automatic question refinement. Features hosted server for instant setup or self-hosted deployment with STDIO/HTTP transport modes.

Enrich contacts and companies via email/LinkedIn enrichment and email validation through LeadFuze (API key required).

Spec Oxide is a comprehensive workflow and toolset that enables spec-driven development for AI-assisted coding with Claude Code. You agree on what to build before any code is written. Spec Oxide ships a CLI and an MCP server to list and manage specifications as Markdown files as well as change proposals. A built-in search functionality finds the relevant spec files to avoid loading too many files into the Claude Code context window.

Zenable cleans up sloppy AI code, prevents vulnerabilities, and automates governance with deterministic guardrails so developers can ship faster, safer, and with confidence. Use Cases: 1. AI coding assistants generate vulnerable code with security flaws and compliance violations. Zenable acts as a real-time safety net that catches SQL injections, hardcoded secrets, and policy violations as code is written - ensuring you ship AI-accelerated code with confidence and zero security compromises. 2. Rapid AI-driven development introduces inconsistent patterns and technical debt. Zenable provides automated governance checks that ensure every AI-generated feature meets your standards, enabling 10x development speed without sacrificing code quality. 3. Bugs slip through reviews and automated testing misses edge cases. Zenable provides AI-powered analysis that identifies subtle bugs and suggests fixes before production, resulting in fewer production incidents.

A Java-based Model Context Protocol (MCP) server that provides deep introspection, monitoring, debugging, and REPL capabilities for Java applications. Descartes enables AI assistants to interact with running Java processes through a comprehensive set of tools and resources. Kind of does for the Java backend what Playwright does for the frontend. Easy to add as a maven dependency to your Java application.

Guide AI to systematically complete software development through a structured **Requirements → Design → Tasks** workflow, ensuring code implementation stays aligned with business needs.

⚡ Surgical Code Editing: Superhuman Precision The combination of `read_symbol` + `insert_text` unlocks revolutionary code editing capabilities that transform how AI agents work with codebases. 🚀 Superpowers Unlocked 🔍 Cross-Codebase Intelligence Find any symbol across entire repositories instantly ✂️ Precision Surgery Edit exact functions, classes, or code blocks 🎛️ Zero-Error Refactoring Update function signatures everywhere they exist

Lints/Validates an OpenAPI specification

MCP Server for Laravel Codebase Intelligence and Introspection For AIs to make sense of your codebase, they need to be able to know what's in it. While vector search is a powerful tool for searching through code, it uses a lot of tokens and doesn't even give you the full picture of your codebase for things like views or routes. This package implements a Model Context Protocol (MCP) server for the mateffy/laravel-introspect package, which allows you to introspect your codebase and get structured information about it. 🔍 Let AI query views, routes, classes and models without needing to read through all of the code 🔍 Can even use wildcards (*) to match multiple views, routes, classes and models 🔍 Supports querying for things from Laravel packages, which most file searchers can't do 🪄 Gives your AI quick overviews of your datamodel and its relationships 🤖 Supports any AI agent implementing the MCP protocol Views: name, path, used by view, uses view, extends Routes: name, URI, controller + fn, methods, middleware Classes: name / namespace, extends parent, implements interfaces, uses traits ⤷ Models: ... relationships, properties, casts, fillable, hidden, read/writeable ⤷ Commands: ... signature, description (coming soon) Name and a few other queries even support wildcard queries (e.g. components.*.paragraph)

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

An MCP server that empowers AI agents to inspect any wallet’s balance and onchain activity across major EVM chains and Solana chain.

Mirror of

Test and debug your MCP (Model Context Protocol) servers directly in your browser. No installation or command line needed. Simplify MCP development with our online inspector.

Mirror of

Agent network builder for communicating with openapi apis. Based in autogen

A tool for automatically converting OpenAPI specifications into Model Context Protocol (MCP) Server instance

Unreal Engine function inspector MCP server

服务器巡检 MCP

The MySSL MCP Server

The MySSL MCP Server