Search official documentation for LangChain, LlamaIndex, and OpenAI libraries to find API references and coding guidance.
426,352 tools. Updated 2026-08-09 20:24
"LangChain" matching MCP tools:
- Convert a website or up to 1000 URLs into RAG-ready chunked JSONL for vector database import.MIT
- 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.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceProvides semantic search across the entire LangChain ecosystem, including documentation and source code for LangChain, LangGraph, LangSmith, and DeepAgents.5
- Flicense-qualityDmaintenanceA 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.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
- Retrieve paginated RAG-ready text chunks from an indexed dataset. Filter by quality grade and PII masking, then integrate with LangChain or LlamaIndex.MIT
- Retrieve MCP client configuration and setup instructions for a specific provider, or list all supported providers.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
- Search for MCP tool usage, response shapes, and integration patterns to confirm parameters before making tool calls.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
- Retrieve documentation text for AI libraries like LangChain, OpenAI, and Llama-Index using a query and library name.MIT
- 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
- Authenticate requests via JWT and bcrypt, then process JSON inputs through a LangChain-backed Gemini model on Vertex. Rejects unauthenticated calls.MIT
- Set up a ChromaDB vector database with LangChain integration, storing text embeddings and optional metadata, with persistence support, returning a retriever.MIT