Tako MCP
Tako MCP is a simple MCP server that queries Tako and returns real-time data and visualization
Check out Tako and our documentation
Available Tools
search_tako
Takes a query to search Tako and the web to get real-time data and visualization. Returns embed, webpage, and image url of the visualization with relevant metadata such as source, methodology, and description.
upload_file_to_visualize
Takes a base64 encoded file as an input and uploads it to Tako to use for visualization
*If you call this tool with a big file, it may consume a large number of tokens and will be very slow. If you want to test visualizing bigger files though Tako, visit our playground
visualize_file
Use the file_id from upload_file_to_visualize and visualize the file. Returns embed, webpage, and image url of the visualization
visualize_dataset
Takes a Tako Data Format data and visualize. Returns embed, webpage, and image url of the visualization
Available Prompts
generate_search_tako_prompt
Prompt to assist the client to format query and search Tako using search_tako tool
generate_visualization_prompt
Prompt to assist the client to transform the data into Tako Data Format and visualize using visualize_dataset tool
Quickstart
Get your API key
Access Tako Dashboard and get your API key.
Installing via Smithery
To install tako-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @TakoData/tako-mcp --client claude
Add Tako MCP to Claude Desktop
Add the following to your .cursor/mcp.json or claude_desktop_config.json (MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json)
{
"mcpServers": {
"takoApi": {
"command": "uv",
"args": [
"--directory",
"/path/to/tako/mcp",
"run",
"main.py"
],
"env": {
"TAKO_API_KEY": "<TAKO_API_KEY>"
}
}
}
}
Example:
1. Use the prompt from Tako MCP Server generate_search_tako_prompt
The prompt will guide the model to generate optimized query to search Tako
2. Add your text input
Add an input text to generate the prompt
"Compare Magnificent 7 stock companies on relevant metrics."
3. Add a prompt to the chat
Add additional instructions to the chat prompt
Write me a research report on the magnificent 7 companies. Embed the result in an iframe whenever necessary
4. Checkout the result
Environment Variables
ENVIRONMENT
Options:
remote- If you're running a remote MCP serverlocal- If you're running a local MCP server
TAKO_API_KEY
- Your Tako API key, access it from Tako Dashboard
Testing Remote MCP
Start inspector and access the console
npx -y npx @modelcontextprotocol/inspector@latest
Start Tako MCP Server on remote mode
ENVIRONMENT=remote TAKO_API_KEY=<your_tako_api_key> uv run main.py
In inspector console, add the url https://0.0.0.0:<port>/mcp/ and click connect
Select the Tools tab, and click ListTools.
Select search_tako and test a query
Deploying it on render
Since we use uv Render uses pip, we have to build a requirements.txt
uv pip compile pyproject.toml > requirements.txt