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LangChain Integration

This LangChain integration, developed by rectalogic, enables AI assistants (powered by LangChain) to leverage Model Context Protocol (MCP) tools within the LangChain framework. It provides an MCPToolkit class that wraps an MCP ClientSession, allowing seamless incorporation of MCP capabilities into LangChain workflows. Built in Python, the implementation abstracts away the complexities of MCP communication, presenting tools as standard LangChain BaseTools. By bridging LangChain's flexible architecture with MCP's extensible toolset, this integration enhances AI models' ability to interact with external services and data sources. It is particularly useful for developers already using LangChain who want to expand their AI applications' capabilities with MCP-compatible tools without significant changes to their existing codebase.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/rectalogic/langchain-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve LangChain Integration from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"