Search official documentation for LangChain, LlamaIndex, and OpenAI libraries to find API references and coding guidance.
186,606 tools. Last updated 2026-06-10 01:05
"LangChain" matching MCP tools:
- 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
- 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
- Convert plain-English workflow descriptions into valid n8n JSON, including triggers, actions, and AI agent configurations.MIT
- Authenticate requests via JWT and bcrypt, then process JSON inputs through a LangChain-backed Gemini model on Vertex. Rejects unauthenticated calls.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceA Multi-Server Control Plane system that enables natural language querying of job listings and employee feedback data through two specialized servers built with LangChain.Last updated8
- Alicense-qualityCmaintenanceExpose any LangChain chain, agent, or tool as an MCP server — schema-aware tool registration, tool-call tracing, structured output validation. Bridges LangChain into Claude/Cursor/Windsurf. Curated by Archimedes Market with a verified Trust Report.Last updatedMIT
Matching MCP Connectors
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
- Retrieve code examples for any agentic pattern, optionally filtered by framework such as LangChain or DSPy.MIT
- Create a new AI agent for the Spaceship platform. Provide a name and project ID, then optionally give a description for auto-generated prompt or a direct system prompt.MIT
- Scan files or directories for AI agent security vulnerabilities including prompt injection, infinite loops, and token bombing. Supports 20+ agent frameworks.Apache 2.0
- Register AI agents with verifiable identities on MolTrust. Creates decentralized IDs, issues W3C credentials, and anchors agents on Base blockchain for trust verification.MIT
- Authenticate requests using JWT and bcrypt, then process LLM completions with LangChain on Vertex Gemini. Rejects unauthenticated calls.MIT
- Generate AI agent tool code from Postman collections to integrate APIs with frameworks like OpenAI, LangChain, or Anthropic.MIT
- Run a prompt through a LangChain chain on Gemini with optional LangSmith tracing for observability.MIT
- Search documentation for langchain, openai, and llama-index libraries to find specific information using targeted queries.MIT
- Retrieve documentation for a given query and library (LangChain, OpenAI, LlamaIndex).MIT
- Run prompts through a LangChain (system + human) chain using Gemini on Vertex AI, with optional LangSmith tracing for observability.MIT
- Compare adoption metrics between 2-3 AI developer tools like OpenAI SDK, Anthropic SDK, Cursor, GitHub Copilot, or LangChain to analyze usage trends and make informed tool selection decisions.MIT
- Vet npm packages using behavioral signals like age, download trend, publisher depth, and GitHub activity to identify supply chain risks and abandonware.
- Get behavioral commitment signals for any PyPI package: download trends, release consistency, publisher count, and linked GitHub activity. Use for vetting dependencies and supply chain risk assessment.
- Retrieve up-to-date documentation snippets from Langchain, OpenAI, or LlamaIndex by providing a query and the library name.