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Search LangChainJS repository for TypeScript, JavaScript, and Markdown examples.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP LangChainJS Search Server" yet — see the docs or source repo.
Search the LangChainJS repository for TypeScript examples related to vector search, prioritizing snippets with retrievers, vector stores, or similarity search.
Returns relevant TypeScript snippets and file locations to quickly locate vector search implementations.
Search the LangChainJS repository for Markdown documentation about agent usage, and list the most relevant excerpts and paths.
Returns agent-related documentation snippets and repository paths for reviewing official examples and guidance.
Search the LangChainJS repository for JavaScript or TypeScript code related to callback handlers, especially examples showing event handling or tracing.
Returns callback-related code snippets and locations for referencing event listening and tracing implementations.
Search LangChain documentation to build and debug LLM applications faster.
Query JavaScript and TypeScript codebases in natural language for function insights.
Build a serverless AI agent that orders burgers via MCP.
Query user information by ID through a LangChain-powered MCP tool demo.
Provide employee lookup and web search tools for LangChain agents.
Search code repositories and API specs to quickly find files, content, and endpoints.