Awesome MCP Servers

📇 🏠 - Local MCP server for searching 300,000+ foods, nutrition facts, and barcodes from the OpenNutrition database.

🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.

🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).

🐍 🏠 - A Qdrant MCP server

📇 ☁️ — An MCP Server for creating and managing Postgres databases using Neon Serverless Postgres

📇 ☁️ 🍎 🪟 🐧 - Access 30+ AI models (GPT-5, Claude, Gemini, Grok, DeepSeek) without API keys. Pay-per-use via x402 micropayments with USDC on Base.

📇 🏠 - An MCP server to flexibly fetch JSON, text, and HTML data

📇 🏠 - MCP server that provides Typescript API information efficiently to the agent to enable it to work with untrained APIs

🏎️ 🏠 - Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming

🐍 🏠 🍎 🐧 - Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying

[glama](https://glama.ai/mcp/servers/ammawla/encode-toolkit) 🐧 - MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments.

🐍 ☁️ - Query and analyze Azure Data Explorer databases

🏎️ ☁️/🏠 - Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

📇 🏠 🍎 🪟 🐧 - Advanced filesystem operations with large file handling capabilities and Claude-optimized features. Provides fast file reading/writing, sequential reading for large files, directory operations, file search, and streaming writes with backup & recovery.

📇 🏠 - MongoDB integration that enables LLMs to interact directly with databases.

🍎 🪟 🐧 ☁️ 🏠 🐍 - Magg: A meta-MCP server that acts as a universal hub, allowing LLMs to autonomously discover, install, and orchestrate multiple MCP servers - essentially giving AI assistants the power to extend their own capabilities on-demand.

🐍 🏠 - MCP server for spatial transcriptomics analysis with 60+ integrated methods covering cell annotation, deconvolution, spatial statistics, and visualization.

📇 🏠 - Universal persistent project context for Cursor, Windsurf, Cline, VS Code, and all MCP-compatible platforms (including Claude Desktop). IANA-registered format (application/vnd.faf+yaml). 17 native tools, AI-readiness scoring.

🏎️ ☁️ - OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.

🍎 Build iOS Xcode workspace/project and feed back errors to llm.