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@@ -97,6 +97,7 @@ Official integrations are maintained by companies building production ready MCP
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**[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
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**[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
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**[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
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**[Nx](https://github.com/nrwl/nx-console/blob/master/apps/nx-mcp)** - Makes [Nx's understanding](https://nx.dev/features/enhance-AI) of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions.
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**[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools
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**[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data.
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**[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.