Retrieve documentation for a given query and library (LangChain, OpenAI, LlamaIndex).
MIT
522,260 tools. Updated 2026-09-06 12:44
"LangChain" matching MCP tools:
- Search official documentation for LangChain, LlamaIndex, and OpenAI libraries to find API references and coding guidance.-
- Retrieve all records from a completed dataset as text in your chosen format (jsonl, csv, json, md, xml, rag). Export directly in the response for use in LLM fine-tuning, analysis, and integration.MIT
- Retrieve and filter LangSmith projects with customizable detail levels, enabling efficient project discovery and management.MIT
- Retrieve and filter LangSmith experiment projects for model evaluation and comparison by specifying a dataset ID or name.MIT
- Manage the full lifecycle of monday.com agents: create via AI or manually, read, update, delete, activate, deactivate, and run agents.MITDestructive
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceProvides semantic search across the entire LangChain ecosystem, including documentation and source code for LangChain, LangGraph, LangSmith, and DeepAgents.5-
- FlicenseNot gradedqualityDmaintenanceA Multi-Server Control Plane system that enables natural language querying of job listings and employee feedback data through two specialized servers built with LangChain.8-
Matching MCP Connectors
MCP server for langchain documentation, generated by doc2mcp.
Google OAuth LangChain Agent
- Retrieve paginated RAG-ready text chunks from an indexed dataset. Filter by quality grade and PII masking, then integrate with LangChain or LlamaIndex.MIT
- Convert a website or up to 1000 URLs into RAG-ready chunked JSONL for vector database import.MIT
- Identify the exact library name and official documentation source before writing third-party code. Ensures accurate, up-to-date API usage and prevents hallucinations.MIT
- List curated end-to-end implementation recipes for common ProsodyAI integration tasks, including adding prosody to LiveKit agents, streaming from browsers, wiring LangChain tools, and defining KPIs.MIT
- Search the AgentDNS network for agents and services using semantic and keyword queries. Filter results by category, tags, status, and more to find exactly what you need.MIT
- Convert plain-English workflow descriptions into valid n8n JSON, including triggers, actions, and AI agent configurations.MIT
- Retrieve ranked knowledge snippets about MCP tool usage, response shapes, integration patterns, and code examples. Call before other tools to confirm parameter usage and avoid incorrect assumptions.MIT
- Get a behavioral commitment profile for any npm package to assess supply chain risk. Reveals publisher depth, release consistency, and activity trends.MIT
- Explains how to create prompts using LangChain templates and push them to LangSmith for version control and management.MIT
- Perform full-text search across all 538 n8n node types by name, description, or keywords. Leave query empty to browse by category or package.BSD 2-Clause "Simplified"
- Retrieve MCP client configuration and setup instructions for a specific provider, or list all supported providers.MIT
- Retrieve documentation text for AI libraries like LangChain, OpenAI, and Llama-Index using a query and library name.MIT
- List the source npm packages behind the n8n node database, with node counts per package.BSD 2-Clause "Simplified"
- Vet PyPI packages by analyzing behavioral signals: package age, download trends, release consistency, publisher count, and linked GitHub activity. Identify supply chain risks and abandonware.MIT
- Create a development task with title, type, priority, and scope. Optionally specify due date, acceptance criteria, constraints, context, dependencies, and agent execution flag. Tasks start as pending evaluation.MIT