MCP Servers

Convert source code repositories into searchable knowledge bases with AI-powered search using GPT-5, intelligent chunking, and OpenAI embeddings for semantic code understanding.

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

LLM-based code review MCP server with AST-powered smart context extraction. Supports Claude, GPT, Gemini, and 20+ models via OpenRouter.

Self-evolving MCP server that generates and improves its own tools at runtime. Built on FastMCP, Janee uses LLM-driven tool generation to dynamically create, test, and refine MCP tools from natural language descriptions — enabling AI agents to extend their own capabilities on the fly.

Workspace-aware prompt engineering. Refines, analyzes and generates prompts based on your project's tech stack, dependencies and context. Free to use.

The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.

MCP server to access and manage LLM application prompts created with Langfuse) Prompt Management.

A MCP server for replacing Rest Clients like Postman/Insomnia, by allowing your LLM to maintain and use api collections.

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.

AI-powered task management system for AI-driven development. Features PRD parsing, task expansion, multi-provider support (Claude, OpenAI, Gemini, Perplexity, xAI), and selective tool loading for optimized context usage.

🎖️ - Use natural language to explore LLM observability, traces, and monitoring data captured by Opik.

Analyze React code locally, generate docs / llm.txt for whole project at once

An MCP server that supports fetching data from a database using natural language queries, powered by XiyanSQL as the text-to-SQL LLM.

VikingDB integration with collection and index introduction, vector store and search capabilities.

🎖️ - Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.

Connect any Open Data to any LLM with Model Context Protocol.

An MCP server to make phone calls using VoIP/SIP and OpenAI's Realtime API and observe the transcript.

MCP server that connects your IDE or AI assistant to Codex CLI for code analysis and editing with support for multiple models (gpt-5-codex, o3, codex-1)

An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel for explaining problems to various AI "ducks" and getting different perspectives

Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.

🎖️ - Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Give your AI assistant its own AI assistants. For example: "Could you ask openai to generate an image of a dog?"

An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.