Awesome MCP Tools

🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory

📇 🏠 - Read-only MCP server for secure filesystem exploration, searching, and analysis with symlink protection.

📇 🏠 🍎 🪟 🐧 - 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.

🐍 ☁️ - Query and analyze Azure Data Explorer databases

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

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

📇 ☁️ 🏠 - Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries).

🍎 🪟 🐧 ☁️ 🏠 🐍 - 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.

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

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

[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.

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

🏎️ ☁️/🏠 - 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.

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

🏎️ 🏠 - Golang implementation for local file system access.

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

🐍 🏠 - A Qdrant MCP server

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

🏎️ 🏠 🐧 🍎 🪟 - Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack.

📇 ☁️ 🏠 🍎 🪟 🐧 - Turn a web service into an MCP server in one click without making any code changes.