"LangChain" matching MCP servers:

Provides semantic search across the entire LangChain ecosystem, including documentation and source code for LangChain, LangGraph, LangSmith, and DeepAgents.

Enables MCP clients such as Cline, Cursor, and Claude Desktop to query official LangChain documentation using hybrid retrieval, returning source-linked snippets and full documents to ground answers and reduce hallucination.

A Multi-Server Control Plane system that enables natural language querying of job listings and employee feedback data through two specialized servers built with LangChain.

An offline MCP server that provides LangChain and LangGraph documentation search via BM25 full-text search, enabling drop-in replacement for cloud-hosted docs in airgapped environments.

Fetches real-time official documentation for LangChain, LlamaIndex, and OpenAI to provide Claude with up-to-date API references and guides for accurate code generation.

A basic Model Context Protocol server implementation that demonstrates core functionality including tools and resources for AI chat applications.

Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs, plus runnable examples, import lookup, and XRPL tx skeletons that never submit. Live docs included. $0.001 USDC on Base or 1000 drops XRP.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

RAG MCP server for PDFs, YouTube, GitHub repos, and Discord exports. Index documents and query with citations via LangChain and Chroma.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

An MCP server that exposes governance, trust-scoring, compliance, guardrail, cost, drift, and supply-chain scanning tools and resources to any MCP client over stdio, Streamable HTTP, or legacy HTTP+SSE. It lets agents route every tool call through a deterministic five-way decision (allow, redact, require approval, deny, or quarantine) with hash-chained evidence, human approval workflows, and in-agent trust gates for LangChain, LangGraph, and Google ADK.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.

Enables querying real-time adoption metrics, trends, and comparisons for popular AI coding tools like OpenAI SDK, Anthropic SDK, Cursor, GitHub Copilot, and LangChain through natural language.

This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama

AI-powered travel route planning server with budget estimation, packing suggestions, and food recommendations, using LangChain reactive agent with Tongyi Qwen and local deterministic fallback tools.

Governance runtime for AI agents: a guard tool evaluates risky actions against policy before they execute (block / warn / require human approval), approvals route to a human queue, and every action becomes a replayable decision record with per-action spend tracking. Runs over stdio via npx @dashclaw/mcp-server; works with Claude Code, Codex, LangChain, CrewAI, or any MCP host.

Universal verifiable recovery for long-running AI agents with semantic checkpoints, idempotent action ledger and hash chained log as a deny by default MCP server. Framework agnostic with adapters for LangGraph, LangChain and OpenAI plus gateway and OTel.

Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.