"Ray" matching MCP servers:

Enables AI coding agents to preflight SQL, NoSQL, graph, warehouse, and vector queries against real schemas or pasted DDL, estimating cost/risk, suggesting verified rewrites, and explaining plans before execution. It supports 12 database engines and catches costly query patterns without running the query.

Safe write access for AI agents. Stellar Jay is an append-only business fact store: every change is kept, attributed to the agent that made it, and can be undone. Agents record, correct and retract facts, read entities, and reverse a bad run with undo_changes. Self-host with stellarjay-mcp (Go, AGPL) or connect to the hosted AvianSuite server at https://mcp.aviansuite.com/mcp.

RAG Vault lets your AI coding assistant search your private documents locally. Everything runs on your machine and your data stays private.

A Model Context Protocol server for reading TiDB RAG knowledge base, enabling browsing, searching, and vector search of knowledge entries.

Enables read-only document retrieval and SQLite exploration through tools over stdio, enforcing a safety gate before SQL execution.

MCP server for EasyPanel that enables AI agents to manage servers, projects, services, databases, and domains via 40 curated tools or raw tRPC access to all 347 API procedures.

Enables interaction with Cloudflare D1 databases through natural language by providing tools to list tables and execute SQL queries. Uses Cloudflare's REST API for lightweight database operations without requiring direct database connections.

Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.

Stores Organizations content

Enables organisations to connect a database so people can query it through an MCP client, authenticating through the organisation's own identity provider. Every question is parsed and checked against role-based table, column and row limits before running, with all decisions recorded in an audit trail.

A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.

MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.

Enables a unified AI assistant that combines document retrieval (RAG), database queries via MCP tools, and web search, allowing users to ask complex questions and receive answers from multiple enterprise sources.

Agentic RAG Knowledge Assistant is a secure, tenant-isolated MCP server built with FastAPI, PostgreSQL, and pgvector that enables document ingestion, semantic retrieval, and vector search over PDF, DOCX, and text files through authenticated MCP tools.

A privacy-preserving local RAG system integrated with MCP, enabling natural language queries over ingested documents and a SQLite database through vector search and local database tools.

Enables querying HEC-RAS project information, geometry elements, plan results, and compute messages through natural language, allowing interaction with hydraulic modeling projects.

Connects to a PostgreSQL database (pgvector) to perform semantic retrieval via the search_documents tool, returning raw document snippets for LLM synthesis.

Raw SQL MCP is a STDIO MCP server for executing raw SQL against SQL Server, SQLite, PostgreSQL, MySQL, and MariaDB.

Read-only MCP server that exposes ZAP's RAG search modes (plain, hybrid, hybrid_rerank) for agents to perform semantic code retrieval.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.