Databases

A collection of Model Context Protocol (MCP) servers for the OceanBase ecosystem, enabling AI assistants to manage databases, cloud platforms, and diagnostic tools.

A blockchain data extraction and analysis server that interfaces with Cryo and DuckDB to provide efficient SQL querying of Ethereum on-chain datasets.

An MCP server that integrates with the Metabase API, allowing AI assistants to query dashboards, execute SQL, and retrieve structured business intelligence data.

A secure Model Context Protocol server that allows LLMs to execute code and scripts across multiple programming languages and network tools within isolated Docker containers.

A robust MCP server that provides a secure bridge for AI to interact with multiple database types (SQLite, MySQL, PostgreSQL) through read-only tools for schema analysis, querying, and performance monitoring.

A high-performance MCP server that enables AI assistants to interact with Trino databases, offering tools for executing SQL queries, exploring catalogs, and inspecting schemas.

A robust memory system integration for AI agents that enables persistent long-term memory across sessions using Mem0, supporting cloud, Supabase, and local storage options.

A PubMed integration for MCP that enables searching and fetching from over 35 million biomedical citations and life science journals. It provides a bridge to the MEDLINE database via the pubmedclient library.

A comprehensive all-in-one workspace MCP server that provides secure file system access, sandboxed code execution (Python/Node.js), Excel processing, and one-click web deployment with multi-tenant isolation.

A documentation-search MCP server that indexes Google Gemini API docs into a local SQLite database, offering full-text search and specific model/capability retrieval for developers.

MCP (Model Context Protocol) Server. Command and control framework that enables secure remote system administration through a Python server and PowerShell client, maintaining task tracking in SQLite for efficient execution and reporting.

A versatile GraphRAG MCP server that integrates with 13 data sources and multiple vector/graph databases to provide hybrid search and AI-powered document intelligence.

A specialized MCP server designed to assist LLMs in generating and executing accurate SPARQL queries for biological knowledge graphs using RAG and metadata validation.

A robust SQL database connector for MCP clients that enables natural language querying, data visualization, and structured business intelligence workflows across multiple database engines.

A comprehensive persistent context management server for Claude AI, enabling session preservation, checkpointing, and knowledge graph extraction to prevent context loss during long coding sessions.

Universal command-line client for MCP. Supports persistent sessions, stdio/HTTP, OAuth 2.1, JSON output for scripting and code mode, proxy for AI sandboxes, and more.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

A versatile Multi-Database MCP server that provides AI-ready access to PostgreSQL, MySQL, SQL Server, and more through unified tools for schema discovery and SQL execution.

The Keboola MCP Server is an open-source bridge that exposes Keboola project features like storage, SQL transformations, and job triggers as callable tools for AI agents.

Tiger MCP provides programmatic management of Tiger Cloud database services and infrastructure alongside a documentation proxy for PostgreSQL and TimescaleDB guidance.

A GDB debugger integration for MCP that enables AI assistants to perform full C/C++ debugging tasks including breakpoint management, execution control, and memory examination.

Nova Memory is a local-first persistent storage system for AI assistants, providing persistent context, task management, and knowledge graph capabilities using SQLite.

A specialized MCP server that integrates with the CVE-Search API to query vulnerability data, including vendor products, specific CVE details, and recent security updates including CAPEC and CWE mappings.

A comprehensive MCP server for interacting with Google Cloud Platform, enabling LLMs to manage billing, analyze errors, query logs, inspect IAM policies, and interact with Spanner databases and Monitoring/Trace telemetry.

A deprecated MCP server for Tinybird analytics, now replaced by an official implementation. It originally aimed to allow querying and analyzing large datasets using Tinybird.

A high-performance codebase analysis server that builds a semantic graph of code using Tree-sitter and SQLite vector storage. It supports hybrid search, impact analysis, and multi-language structural traversal for deep codebase understanding.

A multi-dimensional persistent memory system for AI assistants that manages short-term, long-term, episodic, and semantic context across development sessions using a Turso database.

MCP (Model Context Protocol) Server. Integrates with LanceDB to enable natural language querying, insertion, and management of vector data for efficient similarity search and semantic analysis.

A lightweight persistent memory layer for MCP clients that uses SQLite and vector embeddings to store, search, and visualize shared memories through a knowledge graph.

CodeGraph transforms codebases into semantically searchable knowledge graphs with reasoning agents that analyze dependencies, architecture, and impact for AI assistants. It utilizes SurrealDB and hybrid vector/lexical search to provide deep architectural context instead of simple text matching.