Search for:
Why this server?
Provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.
Why this server?
Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.
Why this server?
Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.
Why this server?
Access any documentation indexed by RagRabbit Open Source AI site search
Why this server?
An MCP server that provides AI tools with access to Rust documentation from docs.rs, enabling search for crates, documentation, type information, feature flags, version information, and source code.
Why this server?
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
Why this server?
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Why this server?
Provides tools for listing and retrieving content from different knowledge bases using semantic search capabilities.
Why this server?
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.