tako-mcp

Tako MCP is a simple MCP server that queries Tako and returns real-time data and visualizations. Developers can use this tool to search for Tako data, upload files for visualization, and visualize datasets. Through the API, it allows retrieval of information from various data sources and presents it visually. This enables efficient data analysis and report generation.

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Installation
Difficulty
Intermediate
Estimated Time
10-20 minutes
Requirements
Node.js: 18.0.0以上
npm: 8.0.0以上
+1 more

Installation

Installation

Prerequisites

Please specify required software and versions:
Node.js: 18.0.0 or higher
npm: 8.0.0 or higher
Claude Desktop: Latest version

Installation Steps

1. Clone Repository

bash
git clone https://github.com/TakoData/tako-mcp.git
cd tako-mcp

2. Install Dependencies

bash
npm install

3. Configure Claude Desktop

Edit claude_desktop_config.json to add the MCP server:
json
{
    "mcpServers": {
        "takoApi": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/tako/mcp",
                "run",
                "main.py"
            ],
            "env": {
                "TAKO_API_KEY": ""
            }
        }
    }
}

4. Start Server

bash
npm start

Troubleshooting

Common Issues

Issue: Server won't start Solution: Check Node.js version and reinstall dependencies. Issue: Not recognized by Claude Desktop Solution: Verify configuration file path and syntax.

Configuration

Configuration

Basic Configuration

Claude Desktop Setup

Edit ~/.config/claude-desktop/claude_desktop_config.json (macOS/Linux) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
json
{
    "mcpServers": {
        "takoApi": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/tako/mcp",
                "run",
                "main.py"
            ],
            "env": {
                "TAKO_API_KEY": ""
            }
        }
    }
}

Environment Variables

Set the following environment variables as needed:
bash
export TAKO_API_KEY="your-api-key"
export DEBUG="true"

Advanced Configuration

Security Settings

Store API keys in environment variables or secure configuration files
Set appropriate file access permissions
Adjust logging levels

Performance Tuning

Configure timeout values
Limit concurrent executions
Set up caching

Configuration Examples

Basic Configuration

json
{
    "mcpServers": {
        "takoApi": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/tako/mcp",
                "run",
                "main.py"
            ],
            "env": {
                "TAKO_API_KEY": ""
            }
        }
    }
}

Advanced Configuration

json
{
    "mcpServers": {
        "advanced-mcp": {
            "command": "python",
            "args": ["-m", "server"],
            "cwd": "/path/to/server",
            "env": {
                "PYTHONPATH": "/path/to/modules",
                "CONFIG_FILE": "/path/to/config.json"
            }
        }
    }
}

Examples

Examples

Basic Usage

Here are basic usage examples for the MCP server:

Using with Claude Desktop

1Verify MCP Server Startup
Open Claude Desktop and confirm that the configuration has been loaded correctly.
2Execute Basic Commands

   Available tools from this MCP server:
   - search_tako: Tool to retrieve real-time data
   - upload_file_to_visualize: Tool to upload files
   

Programmatic Usage

python

Python example

import requests def call_mcp_tool(tool_name, params): response = requests.post( 'http://localhost:3000/mcp/call', json={ 'tool': tool_name, 'parameters': params } ) return response.json()

Usage example

result = call_mcp_tool('search_tako', { 'query': 'Compare Magnificent 7 stock companies on relevant metrics.' }) print(result)

Advanced Examples

Automation Script

bash
#!/bin/bash

Batch processing example

for file in *.txt; do mcp-tool process "$file" done

API Integration

python

Python example

import requests

Usage example

result = call_mcp_tool('visualize_dataset', { 'data': 'your_data_here' }) print(result)

Use Cases

Retrieve and visualize data comparing stock metrics of specific companies.
Upload a large file for visualization and obtain the results.
Visualize a dataset in Tako Data Format and generate a report.
Fetch real-time market data and display it on a dashboard.

Additional Resources

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