Browse and search the AI agent directory
301 agents found
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation
MCP server for Apache Kafka and Timeplus. Able to list Kafka topics, poll Kafka messages, save Kafka data locally and query streaming data with SQL via Timeplus
Natural language PostgreSQL queries with automatic streaming, read-only safety, and universal database compatibility
MCP server for intelligent subscription management with Gmail + MySQL integration
TiDB database integration with schema inspection and query capabilities
Zero-config MCP server for searchable documentation. Loads markdown into SQLite (default) or PostgreSQL with FTS5/tsvector keyword search and optional pgvector hybrid semantic search
🐍 ☁️ 🎖️ - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
provides AI-powered PostgreSQL performance tuning capabilities
Node.js-based MySQL database integration that provides secure MySQL database operations
An MCP server that executes SQL via ConnectorX and streams the result to a CSV or Parquet file. Supports PostgreSQL, MariaDB, BigQuery, RedShift, MS SQL Server, etc
Supabase MCP Server for managing and creating projects and organisations in Supabase
Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities
Query and analyze Azure Data Explorer databases
Manage and query Postgres databases, tenants, users, auth using LLMs
Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns
Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface
Read-only SQL queries against PostgreSQL databases via MCP
Flexible querying and analysis of structured data via MCP
Data build tool integration for analytics pipelines via MCP
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool
