MySearch Proxy

v1.0.0Search & Data Extractionstable

Unified search MCP, proxy console, and skill for Tavily, Firecrawl, and Social / X.

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What is MySearch Proxy?

MySearch Proxy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to unified search mcp, proxy console, and skill for tavily, firecrawl, and social / x.

Unified search MCP, proxy console, and skill for Tavily, Firecrawl, and Social / X.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Unified search MCP, proxy console, and skill for Tavily, Fir

Use Cases

Unify search across Tavily, Firecrawl, and X/Twitter.
Perform intelligent web search through AI agent interface.
skernelx

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mysearch-proxy

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MySearch Proxy

MySearch Proxy is a unified search MCP server that routes web, documentation, URL extraction, and social media queries to the optimal underlying search provider — Tavily for web and news, Firecrawl for technical documentation and content extraction, and xAI-compatible endpoints for social/X content. It exposes four MCP tools (search, extract_url, research, and mysearch_health) and supports stdio, Server-Sent Events, and streamable HTTP transports, making it usable both as a local MCP server and as a self-hosted Docker service. Developers and researchers use it to avoid managing multiple search API integrations by letting MySearch Proxy intelligently route each query to the best provider.

Prerequisites

  • Python 3.10+ for local installation, or Docker for containerized deployment
  • A MYSEARCH_PROXY_API_KEY from your self-hosted instance, or credentials for the cloud service
  • At least one underlying search API key: Tavily API key, Firecrawl API key, or xAI-compatible endpoint credentials
  • An MCP-compatible client such as Claude Desktop, Claude Code, or Cursor
1

Deploy MySearch Proxy with Docker

The fastest way to get a running instance is with Docker. Set ADMIN_PASSWORD and mount a data volume for persistence. The proxy listens on port 9874.

docker run -d \
  --name mysearch-proxy \
  --restart unless-stopped \
  -p 9874:9874 \
  -e ADMIN_PASSWORD=change-me \
  -v $(pwd)/mysearch-proxy-data:/app/data \
  skernelx/mysearch-proxy:latest
2

Configure the proxy with your search API keys

After the container starts, access the admin console to configure the underlying provider API keys (Tavily, Firecrawl, xAI). These are stored securely in the mounted data volume.

3

Install locally (alternative to Docker)

For local development, clone the repository and run the install script to create a virtual environment and install dependencies.

git clone https://github.com/skernelx/MySearch-Proxy.git
cd MySearch-Proxy
python3 -m venv venv
./install.sh
4

Configure your MCP client

Add MySearch Proxy to your MCP client config. Set MYSEARCH_PROXY_BASE_URL to point to your instance and MYSEARCH_PROXY_API_KEY to your generated key.

{
  "mcpServers": {
    "mysearch-proxy": {
      "command": "npx",
      "args": ["mysearch-proxy"],
      "env": {
        "MYSEARCH_PROXY_BASE_URL": "https://your-mysearch-proxy.example.com",
        "MYSEARCH_PROXY_API_KEY": "mysp-your-key-here"
      }
    }
  }
}
5

Verify the connection

Use the provided check script to confirm the proxy is reachable and all configured providers are responding.

python3 skill/scripts/check_mysearch.py --health-only
python3 skill/scripts/check_mysearch.py --web-query "OpenAI latest announcements"

MySearch Proxy Examples

Client configuration

Full MCP config pointing to a self-hosted MySearch Proxy instance with optional parallelism and cache tuning.

{
  "mcpServers": {
    "mysearch-proxy": {
      "command": "npx",
      "args": ["mysearch-proxy"],
      "env": {
        "MYSEARCH_PROXY_BASE_URL": "https://your-mysearch-proxy.example.com",
        "MYSEARCH_PROXY_API_KEY": "mysp-your-key-here",
        "MYSEARCH_MAX_PARALLEL_WORKERS": "4",
        "MYSEARCH_SEARCH_CACHE_TTL_SECONDS": "30",
        "MYSEARCH_EXTRACT_CACHE_TTL_SECONDS": "300"
      }
    }
  }
}

Prompts to try

These prompts exercise the four MySearch Proxy tools across web search, content extraction, and combined research workflows.

- "Search the web for the latest news about OpenAI model releases"
- "Extract the full content from https://docs.python.org/3/library/asyncio.html"
- "Research the current state of AI search engines and summarize the top 3 findings"
- "Search X/Twitter for recent posts about Model Context Protocol"
- "Check MySearch Proxy health and show which providers are currently active"

Troubleshooting MySearch Proxy

MYSEARCH_PROXY_API_KEY is not recognized or returns 401 Unauthorized

Generate the API key from the MySearch Proxy admin console after deployment. Keys have the prefix 'mysp-'. Verify that MYSEARCH_PROXY_BASE_URL matches the protocol (http vs https) and port of your instance.

Social/X search returns no results

Social search requires an xAI-compatible API endpoint configured in the proxy admin. Ensure you have set up an xAI API key or compatible social search endpoint in the proxy configuration panel.

Docker container starts but port 9874 is not reachable

Check that no other process is using port 9874 with 'lsof -i :9874'. If running behind a firewall or on a remote server, ensure the port is open. Verify the container is running with 'docker ps' and check logs with 'docker logs mysearch-proxy'.

Frequently Asked Questions about MySearch Proxy

What is MySearch Proxy?

MySearch Proxy is a Model Context Protocol (MCP) server that unified search mcp, proxy console, and skill for tavily, firecrawl, and social / x. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MySearch Proxy?

Follow the installation instructions on the MySearch Proxy GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MySearch Proxy?

MySearch Proxy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MySearch Proxy free to use?

Yes, MySearch Proxy is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mysearch-proxy": { "command": "npx", "args": ["-y", "mysearch-proxy"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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