Awesome MCP Servers

Put performance and error data directly in the hands of your AI assistant.

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.

Converts LaTeX source code into professionally formatted PDF documents.

Converts LaTeX mathematical expressions to MathML format using MathJax-node.

An AI-assisted web development tool for creating, modifying, and deploying code through natural language conversations.

Interact with the Lean theorem prover via the Language Server Protocol (LSP), enabling LLM agents to understand, analyze, and modify Lean projects.

A sample project for learning MCP development, featuring a calculator for math operations and a prompt flow server for various templates.

Access LeetCode problems, user information, and contest data.

Provides educational content, model information, and read-only API interactions for Lerian developers.

An MCP server for image generation using the LetzAI API.

A natural language interface for cell-cell communication analysis using the Liana framework.

An MCP server for managing the software development lifecycle, with support for an optional external SQLite database.

Audit web performance, accessibility, and SEO using Google Lighthouse.

An MCP server for accessing useful Bitcoin Lightning tools.

Execute terminal commands through a secure shell interface using an AI assistant.

A lightweight, AI-powered end-to-end testing framework for CI workflows. Requires an OpenAI API key.

Train a Linear Regression model by uploading a CSV dataset file, demonstrating an end-to-end machine learning workflow.

Make your AI agent speak every language on the planet, using Lingo.dev Localization Engine.

A Node.js middleware that allows AI agents to interact with Lisp-based systems using the Lisply protocol.

Interact with the Liveblocks REST API to manage rooms, threads, comments, and notifications, with read access to Storage and Yjs.

Benchmark LLM APIs for throughput and Time To First Token (TTFT) under various concurrency levels.

Share code context with LLMs via Model Context Protocol or clipboard.

A Ruby gem for integrating Large Language Models (LLMs) via the Model Context Protocol (MCP) into development workflows.

An MCP server with an LLMling backend that uses YAML files to configure LLM applications.

Access and read llms.txt documentation files for various Large Language Models.

A Python-based server that locally indexes codebases using ChromaDB to provide semantic search for tools like Cursor.

A collection of reference implementations for the Model Context Protocol (MCP), giving LLMs secure access to tools and data.

MCP for monitoring local application logs with real-time tailing, error tracking, and log search capabilities.

A test server for local MCP development and setup.

An MCP server for running Locust load tests. Configure test parameters like host, users, and spawn rate via environment variables.

An MCP server for log analysis using the LogAI framework, with optional Grafana and GitHub integrations.