Web Search MCP Server with ChromaDB Vector Database

by joao-santillo

341 downloads
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GitHub

About

Servidor MCP que busca documentação mais atualizada de tools

Details

Author
joao-santillo
Downloads
341
Categories
Search

- Search documentation for LangChain, LlamaIndex, and OpenAI
- Extract content from web pages
- Store documents with vector embeddings via ChromaDB
- Perform semantic similarity search with metadata filtering
- Batch add multiple documents for efficiency
- Create retrievers for downstream AI applications

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Web Search MCP Server with ChromaDB Vector Database
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install dependencies with pip install -e . (or uv pip install -e .), create a .env file with a Serper API key and ChromaDB settings, then run python main.py. The server exposes tools for web search and ChromaDB operations, which can be invoked programmatically.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "web search mcp server with chromadb vector database": {
            "web-search-mcp-server": {
                "command": "uv",
                "args": [
                    "pip",
                    "install",
                    "-e",
                    "."
                ]
            }
        }
    }
}

McpServers

{
    "web-search-mcp-server": {
        "command": "uv",
        "args": [
            "pip",
            "install",
            "-e",
            "."
        ]
    }
}

Web Search MCP Server with ChromaDB Vector Database

This MCP server provides tools for web search and vector database functionality using LangChain and ChromaDB.

Features

Web Search

- Search documentation for popular libraries (LangChain, LlamaIndex, OpenAI) - Extract content from web pages

Vector Database (ChromaDB)

- Store and retrieve documents with vector embeddings - Perform semantic similarity search - Filter documents based on metadata - Batch operations for efficiency

Setup

1. Install dependencies:
```bash
pip install -e .

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