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LangChain (TypeScript)

This LangChain.js client for Model Context Protocol, developed by Isaac Wasserman, provides a TypeScript port of the original Python implementation. It enables seamless integration of MCP tools with LangChain.js workflows, allowing developers to leverage MCP's capabilities within JavaScript and TypeScript environments. The client initializes an MCP toolkit, extracts LangChain-compatible tools, and facilitates their use with LangChain agents. By bridging MCP and LangChain.js, this implementation expands the ecosystem of AI tools available to JavaScript developers, enabling the creation of more powerful and flexible AI applications. It is particularly useful for building chatbots, question-answering systems, and other AI-powered applications that require access to external tools and APIs within a JavaScript runtime.

Cognium trust score

99%

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

View full trust & usage report →

Metadata

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

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MCP

Resolve LangChain (TypeScript) 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"