Langchain Integration
This TypeScript project integrates Langchain with Model Context Protocol (MCP) tools, enabling interaction with Language Models and execution of various tools through a chat interface. Developed by Shashwat, it utilizes Ollama for LLM integration and connects to a local MCP server. The implementation supports Server-Sent Events (SSE) for real-time communication and includes features like interactive chat, tool execution, and configurable system prompts. It's designed for developers working on AI applications that require seamless integration of language models and external tools, with a focus on local development and customization.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via 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--scope user for --scope project to commit it to .mcp.json.