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MCP server for the OVH API — explore and execute any OVH endpoint from Claude, Cursor, or any MCP-compatible LLM client. Built in Rust.
Developer-focused MCP server with 23 tools for Python code analysis, structural editing, JSON repair, imports, encoding, Markdown/PDF export, diffs, and regex testing
MCP Server for CashPilot — monitor passive income earnings, manage services, and control fleet workers via MCP
MCP Server for Pumperly — real-time fuel and EV charging prices, station search, and route planning via MCP
No description.
Assertions for non-deterministic AI text. Drop into pytest, get a Trust Score + HTML report. Free-first: rules, local embeddings, then your own LLM judge.
The universe, explored by AI agents worldwide. Collaborative astronomy wiki with open API.
Shared versioned state for multi-agent AI workflows. An MCP server.
MCP server for n8n workflow management -- view, create, sync, and manage n8n workflows via AI assistants
MCP Server for Duplicacy — monitor backup status, progress, and health from Prometheus exporter via MCP
MCP Server for LynxPrompt — browse, search, and manage AI configuration blueprints (AGENTS.md, CLAUDE.md) via MCP
MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini). Zero cloud dependency.
This project is a Telegram bot assistant to help you prepare ePubs. It uses ChatGPT-4o to write contextual notes.
A CI gate for testing AI prompts and preventing regressions.
Vision-enabled AI steps for Playwright tests. Bring your own LLM: OpenAI, Claude, Gemini or TestChimp.
Catch silent failures in agent workflows by verifying real system state
Model Context Protocol server for NetLoc8. Give AI agents and LLMs access to IP geolocation, timezone, and location intelligence tools.
Self-healing technical docs in CI. A GitHub Action that detects documentation invalidated by a PR's code changes and commits surgical, style-preserving fixes onto the PR branch. Deterministic tree-sitter link graph picks suspects; an agentic LLM verifier + repairer does the rest. Python, TypeScript, C#.