Databases

An MCP server that integrates with Qdrant vector database to provide semantic search, storage, and retrieval of text using embedding providers like FastEmbed.

An MCP server that enables LLMs to interact directly with MongoDB databases to perform document queries, schema inspections, and index management through natural language.

A specialized MCP server for managing group expenses and social event costs, featuring tools for tracking payments, splitting bills, and calculating reimbursements with persistent database storage.

A robust MCP server implementing the Python SDK to bridge AI systems with Neo4j graph databases, enabling Cypher query execution and schema exploration.

Enables secure execution of JavaScript and Python code in cloud-based E2B sandboxes with integrated file management capabilities, allowing Claude to run and test code safely in isolated environments.

MCP (Model Context Protocol) Server. Enables vector search capabilities using LanceDB and Ollama's embedding model for similarity searches on document collections without context switching.

Provides access to FluentLab's funding database, enabling users to search for funding opportunities and retrieve document checklists required for specific funding programme applications.

Provides comprehensive influencer marketing data from Instagram, YouTube, and TikTok via the CreatorDB Headless API V3. It enables advanced creator search, profile analysis, and access to performance metrics and audience demographics.

A specialized MCP server that allows AI models to securely manage MySQL databases through prepared statements, enabling table listing, schema description, and full CRUD operations.

Provides comprehensive Redis database operations supporting all major data types (strings, lists, sets, hashes, sorted sets) with full CRUD functionality through natural language commands.

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

Enables AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.

A physics-based MCP server providing mechanistic electrochemical models and handbook-based screening for corrosion rate prediction and material compatibility. It features a unique 4-tier assessment framework ranging from rapid semantic lookups to complex Butler-Volmer solvers for galvanic and pitting risk.

Provides structured debugging capabilities through LLDB, enabling AI assistants to set breakpoints, inspect variables, analyze crashes, disassemble code, and evaluate expressions in C/C++ programs.

A specialized Windows file management server that enables LLMs to intelligently organize file systems through directory analysis, metadata extraction, and automated grouping with safe dry-run capabilities.

An MCP server for MySQL databases that allows for SQL query execution, schema management, and automated business insight generation via a persistent memo resource.

A PostgreSQL MCP server that enables AI models to perform data analysis through schema exploration and read-only SQL query execution.

A Go-based MCP server that integrates with Meilisearch to provide LLMs with robust search, index management, and document operation capabilities for structured data.

MCP (Model Context Protocol) Server. Turso database-powered server for tracking project entities, maintaining contextual memory, and handling transactional workflows across software development environments.

A TypeScript-based MCP server that enables AI systems to securely connect to and query MySQL databases via standard SQL commands.

MCP (Model Context Protocol) Server. Integrates with MySQL databases using Python and Docker to enable structured data storage, querying, and manipulation.

A specialized MCP server for interacting with Epsilla vector databases, enabling seamless creation, management, and similarity searching of high-dimensional data.

Enables LLMs to search for food products and retrieve detailed nutritional information from the Open Food Facts database using product names or barcodes.

Connects Teable no-code databases to LLMs, enabling AI agents to query records, explore schema structures, retrieve data history, and interact with spaces, bases, tables, and views using natural language.

MCP (Model Context Protocol) Server. Integrates with Notion to enable database and page operations, content management, and collaborative workflows.

An unofficial MCP server for the European Medicines Agency (EMA) providing access to over 2,600 EU-approved medicines, safety reviews, shortages, and comprehensive pharmaceutical documentation.

A Model Context Protocol server that enables agents to execute SQL queries against a MySQL database, supporting operations like SELECT, CREATE TABLE, INSERT, UPDATE, and DELETE with results returned in JSON format.

Enables AI assistants to manage Dokploy deployments, including creating and deploying applications, managing databases, configuring domains with SSL, and monitoring application status through a standardized interface.

A robust logging and search server that captures process console output into a high-performance SQLite database, enabling AI assistants to perform full-text searches and analyze multi-process activity.

MCP server for AI plan review — agents read your markdown annotations, mark tasks done, evaluate gates, and generate handoffs.