Explore Agents

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

Direct file system access to Obsidian vaults with security-first design, advanced search capabilities including MOC (Maps of Content) discovery, and support for obsidian.nvim - no Obsidian app required

Windsor MCP (Model Context Protocol) enables your LLM to query, explore, and analyze your full-stack business data integrated into Windsor.ai with zero SQL writing or custom scripting

Retrieval from AWS Knowledge Base using Bedrock Agent Runtime

Web and local search using Brave's Search API. Has been replaced by the [official server](https://github.com/brave/brave-search-mcp-server)

Interact with Redis key-value stores

Read-only database access with schema inspection

Location services, directions, and place details

Interact with PostHog analytics, feature flags, error tracking and more with the official PostHog MCP server

Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more

Query and analyze Azure Data Explorer databases

An MCP server that runs right inside the IDE, for connecting to MySQL, Postgres, SQLite, and MSSQL databases

Server to interact with Firebase services including Firebase Authentication, Firestore, and Firebase Storage

Travel planning and itinerary management server integrating with Google Maps API for location search, place details, and route calculations

Provides location results using Google Places API

Provides Google Search results via the Google Custom Search API

Connect to any JDBC-compatible database and query, insert, update, delete, and more. Supports MySQL, PostgreSQL, Oracle, SQL Server, SQLite and [more](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc#supported-jdbc-variants)

Golang based MCP Server to query logs from [Grafana Loki](https://github.com/grafana/loki)

Server that provides local-first document management and semantic search via embeddings or Gemini AI (recommended). Optimized for performance with disk persistence, an in-memory index, and caching

Fastest way to interact with your Database such as SQL Server, SQLite and PostgreSQL