LangChain & LlamaIndex Coding Assistant
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@LangChain & LlamaIndex Coding Assistant show me the latest OpenAI chat completions API parameters"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Python 3.11+
uv (recommended) or pip
Serper API Key: (Get one free at serper.dev)
Installation
Clone the repository:
git clone <repository-url> cd documentationInstall dependencies:
uv sync # Or using pip: pip install -e .Set up API Key: Create a
.envfile 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 toolget_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
Scored across 1 tool
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.
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.
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.
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
Related MCP Connectors
Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.
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