Simple MCP Server

Repository management, file operations, and GitHub API integration

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

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Know what every affiliate link actually earns, and fix what's bleeding revenue. See revenue per article, catch dead links before they cost you, and ask it anything in plain English. Works on any site.

Create and manage short links - shorten URLs, list / inspect links, track credits. No subscriptions.

Pay-per-call MCP server for AI agents. Check whether ChatGPT, Perplexity, or Google AI recommends any brand — score 0-100, mention rate, and the competitors AI names instead. Also serves the 25-brand AI Visibility Index dataset, US Treasury macro data, DeFi yields, crypto prices, and trucking load-profit calculators. Paid tools settle per call in USDC on Base via x402 — no API keys, no signup. Install in Claude Desktop or Cursor. Premium brand check $0.95. Free human checker: https://aivisibility.agentexchange.work · Leaderboard: https://index.agentexchange.work

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

An MCP server that provides a tool for sending transactional emails via Mailtrap

Secure file operations with configurable access controls

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

An MCP (Model Context Protocol) server that generates advanced mock 2D PNG assets for games prototypes — directly from any MCP-compatible AI client such as Claude Desktop. This MCP is engine-agnostic and works with any game engine that supports PNG import: Godot Unity Unreal Engine GameMaker Construct RPG Maker And many more... Create placeholder sprites, UI elements, health bars, spritesheets, and more with full support for gradients, patterns, transparency, text rotation, and auto-scaling — all without opening an image editor. Each generated PNG embeds rich JSON metadata (dimensions, color, shape, description) directly in its EXIF data, so AI models without vision can still understand what an asset contains.

Read-only database access with schema inspection

Brazilian Federal Senate open data over MCP — 90 tools across the legislative process, Senate administration and the e-Cidadania portal. Cloudflare Workers, Streamable HTTP, no auth. Responses in pt-BR.

GitLab API, enabling project management

Kubova packs cargo into shipping containers and onto pallets and returns a verifiable 3D loading plan — exact coordinates, fit, utilization, weight balance. Over MCP, an assistant can request a plan and act on the structured result. Free tier; public REST API too.

Web and local search using Brave's Search API

GPT Image 2 AI Image Editor MCP is a remote MCP server that lets AI agents and MCP-compatible clients generate and edit images through GPT Image 2. It supports text-to-image, image-to-image, model listing, and generation status queries via a Streamable HTTP JSON-RPC endpoint. Users can connect with an API key and call image generation tools directly from Claude, Cursor, ChatGPT, or other agent workflows.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Calculate Human Design bodygraph charts from birth data, save people, compare charts, and analyse group dynamics — in any MCP client. Hosted remote server (Streamable HTTP, OAuth 2.0) by gethumandesign.com; free account to connect. Listed in the official MCP registry as com.gethumandesign.www/mcp.

AI image generation using various models

MCP Server for deConz server developed by Dresden Elektronik (bridge between smart home automation platforms and wireless Zigbee networks)

MCP server for Wundervault zero-knowledge secret management. Exposes vault secrets to AI agents via the Model Context Protocol — secrets are decrypted server-side and never returned to the agent in plaintext.

Browser automation and web scraping

The first Model Context Protocol server for GUM-compliant measurement uncertainty analysis. Built for ISO/IEC 17025 calibration labs, ISO 10012:2026 measurement management systems, and KOLAS / A2LA / UKAS accredited testing. Exposes 10 tools: Type A/B uncertainty, combined standard uncertainty, Welch-Satterthwaite effective DoF, expanded uncertainty with coverage factor k, Monte Carlo propagation (JCGM 101:2008), and pre-built KOLAS-ready uncertainty budget templates (CMM, CD-SEM, DMM, thermocouple, balance, OCD). Standards-referenceable to JCGM 100:2008 (GUM). Works in Claude Desktop, Cursor, Windsurf, Cline. Hosted endpoint, no install required.

Long-term memory system for AI agents with semantic search, context management, and multi-format storage. Hierarchical memory architecture (STM → LTM → Deduction), FAISS vector retrieval, SQLite persistence.

**Dependency Freshness Checker** tells any AI coding agent whether an npm or PyPI package is **outdated (out of date)** — and gives the cited facts to prove it: the latest version, release dates, deprecation status, how many versions behind you are, and a dated **"what changed since your version"** breaking-change diff. It is MCP-native, reads only public registries and GitHub releases (no scraping, no ToS risk), and is priced Pay-Per-Event for pay-as-you-go agent use.

Channel management and messaging capabilities

An MCP execution platform that gives any AI real infrastructure to act. Through three tools it can run code and shell commands, install packages, run tasks in parallel, search the web, make HTTP calls, read write and query databases, call any LLM, commit to GitHub, take screenshots, handle files, and keep persistent memory across sessions, all with safety checks before results reach the model. AI never ships broken code, never burns your wallet, and cannot reach your internal network. Up to 96.5 percent fewer tokens than doing the work in chat. Works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.