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LangChain & LlamaIndex Coding Assistant

LangChain & LlamaIndex Coding Assistant

LangChain & LlamaIndex Coding Assistant

A powerful Coding Assistant integrated into Claude Code via the Model Context Protocol (MCP).

This assistant specializes in fetching real-time, official documentation for LangChain, LlamaIndex, and OpenAI, ensuring your coding workflow in Claude is powered by the absolute latest API references and guides.

Capabilities

  • Deep Documentation Search: Instantly retrieves detailed documentation from:

    • 🦜️🔗 LangChain (python.langchain.com/docs)

    • 🦙 LlamaIndex (docs.llamaindex.ai)

    • 🤖 OpenAI (platform.openai.com/docs)

  • Context-Aware Coding: Provides Claude with the exact context needed to write accurate code using these rapidly evolving libraries.

  • Seamless Integration: Designed to work natively within the Claude Desktop environment.

Related MCP server: Library Docs MCP Server

Prerequisites

Installation

  1. Clone the repository:

    git clone <repository-url>
    cd documentation
  2. Install dependencies:

    uv sync
    # Or using pip:
    pip install -e .
  3. Set up API Key: Create a .env file in the project root:

    SERPER_API_KEY=your_api_key_here

Configuration for Claude Desktop

Add this to your claude_desktop_config.json (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "coding-assistant": {
      "command": "uv",
      "args": [
        "--directory",
        "YOUR_ABSOLUTE_PATH_TO_PROJECT_DIR",
        "run",
        "main.py"
      ],
      "env": {
        "SERPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

Usage

Once configured, ask Claude questions directly in your chat:

"How do I create a custom retrieval chain in LangChain?"

"Show me the latest LlamaIndex vector store implementation."

"What are the new parameters for OpenAI's chat completions?"

The assistant will fetch the latest docs and help you write the code.

Available Tools

1 tool
get_docsA

Search the latest docs for a given query and library. Supports langchain, openai, and llama-index.

Args: query: The query to search for (e.g. "Chroma DB") library: The library to search in (e.g. "langchain")

Returns: Text from the docs

Inputs: query (required), library (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.1/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as searching documentation for specific libraries.

    Naming Consistency5/5

    The single tool name 'get_docs' follows a clear verb_noun pattern. Since there is only one tool, naming consistency is inherently perfect with no deviations to assess.

    Tool Count2/5

    A single tool is too few for a server labeled as a 'Coding Assistant' for LangChain and LlamaIndex. This scope suggests needs like code generation, debugging, or API interaction, which are not covered by just documentation search.

    Completeness2/5

    The tool surface is severely incomplete for the stated purpose. It only provides documentation search, missing essential operations like code execution, analysis, or integration with the libraries mentioned, leading to significant gaps in functionality.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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    • A
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      Searches and fetches real-time documentation for libraries like Langchain, OpenAI, and Llama-Index using the Serper API. It allows LLMs to access up-to-date technical information and bypass knowledge cut-off limitations.
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