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Tavily Search MCP

by whfzdxhst
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Python
Hybrid

Tavily Search MCP

Tavily Search MCP is an MCP service based on Streamable HTTP that wraps Tavily's web search and webpage content extraction capabilities into MCP tools.

Features

  • web_search: Performs a web search based on query keywords.

  • web_fetch: Extracts readable text content from a webpage URL.

Related MCP server: tavily-mcp

Environment Requirements

  • Python 3.11+

  • Tavily API Key

  • An MCP client that supports streamable_http

Installation

First create and activate your own Python virtual environment, then install the dependencies and the current project:

python -m pip install -r requirements.txt
python -m pip install -e .

Copy the environment variable template:

cp .env.example .env

Fill in the configuration in .env:

TAVILY_API_KEY=tvly-your-api-key
MCP_SERVER_HOST=127.0.0.1
MCP_SERVER_PORT=21029
MCP_SERVER_PATH=/mcp
MCP_ALLOWED_HOSTS=127.0.0.1,127.0.0.1:21029,localhost,localhost:21029
MCP_ALLOWED_ORIGINS=*

If deploying to a server, set MCP_SERVER_HOST to 0.0.0.0 and add your public domain or access hostname to MCP_ALLOWED_HOSTS.

Start the Service

python -m tavily_search_mcp.server

Default local MCP address:

http://127.0.0.1:21029/mcp

Health check:

curl http://127.0.0.1:21029/health

Test Client

List MCP tools:

python -m tavily_search_mcp.client --url http://127.0.0.1:21029/mcp list-tools

Call web search:

python -m tavily_search_mcp.client --url http://127.0.0.1:21029/mcp web-search "Tavily Python SDK" --max-results 2

Call webpage content extraction:

python -m tavily_search_mcp.client --url http://127.0.0.1:21029/mcp web-fetch "https://docs.tavily.com/"

MCP Client Configuration

Local service example:

{
  "mcpServers": {
    "tavily-search": {
      "type": "streamable_http",
      "url": "http://127.0.0.1:21029/mcp",
      "headers": {}
    }
  }
}

Remote service example:

{
  "mcpServers": {
    "tavily-search": {
      "type": "streamable_http",
      "url": "https://your-domain.example/mcp",
      "headers": {}
    }
  }
}

Deploy to Server

You can use the deployment script in the repository to upload and start the service with your own SSH key:

.\scripts\deploy_remote.ps1 -HostName "your-server.example" -User "ubuntu" -IdentityFile "<path-to-private-key>"

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