Data Science & ML MCP Servers

Opensearch

Connects language models to an OpenSearch database for semantic memory storage and retrieval.

Postgres

Enables LLMs to inspect PostgreSQL database schemas and execute read-only queries.

DuckDuckGo Web Search

Enables web searches using DuckDuckGo and fetches/summarizes content from the results using the Jina API.

Tacitbase

Connects to Typesense collections and retrieves data using an MCP client.

Datos.gob.es

Enables querying and analyzing Spanish public datasets available on datos.gob.es directly from MCP clients.

GemForge

Integrates Google's Gemini AI with MCP agents to enable codebase analysis, live search, and multi-file processing.

Github Graphql Api

Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.

NFTGo API

Provides HTTP requests to the NFTGo Developer API, allowing access to NFT data and analytics.

Microsoft Teams by CData

Enables querying of live Microsoft Teams data from Large Language Models like Claude Desktop using natural language.

Hacking Buddy

Leverages AI to enhance security operations, particularly in Red Team and Pentesting workflows.

MLE Kit

Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.

Repo GraphRAG

Leverage LightRAG and Tree-sitter to build a repository knowledge graph from code and documentation for Q&A and implementation planning.

VLLM

Enables text models to interact with multimodal AI models through a standardized Model Context Protocol (MCP) server.

Obsidian Second Brain

Provides intelligent read-only access to Obsidian vaults, enabling them to function as a 'second brain' for LLMs.

Mnemex

Provides AI assistants with a temporal memory system featuring human-like forgetting curves and local, human-readable data storage.

Adversarial Security Agents

Automates red team vs. blue team AI competitions to discover and patch vulnerabilities in open-source ecosystems using LLM-driven agents.

Excel

Enables AI assistants to create, read, modify, and format Excel (.xlsx) spreadsheets using Python's openpyxl library, without requiring Microsoft Excel.

Shared Memory

Manages structured memory across chat sessions for project-based AI assistant work.

Database

Connects AI assistants to various SQL databases including MySQL, MariaDB, PostgreSQL, and SQLite through a single, lightweight binary.

Tidbit

Captures diverse content into structured Markdown notes and LLM training-ready JSONL.