# Langchain Integration

> Use this tool when you need to integrate language models with external tools and interact with them through a chat interface, solving problems of seamless communication and execution in AI application development. It takes in user input and tool configurations, and outputs real-time responses and tool execution results through a local MCP server. Ideal for developers working on custom AI applications that require local development and flexible language model integration.

Canonical page: https://skillsregistry.net/skills/shashwat001-langchain-integration  
JSON: https://api.skillsregistry.net/v1/skills/shashwat001-langchain-integration

## Description

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.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shashwat001-langchain-integration)
- **Repository:** <https://github.com/shashwat001/mcptools-langchain-integration>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shashwat001-langchain-integration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shashwat001-langchain-integration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shashwat001-langchain-integration/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt