mcp-metricool
This is a Multi-Agent Collaboration Protocol (MCP) server for interacting with the Metricool API. It allows AI agents to access and analyze social media metrics and campaign data from your Metricool account.
17 stars
3.7/5
Server Information
Category
Development
Tags
python
api-&-http
api-wrapper
GitHub Stars
17
Last Updated
10/2/2025
Installation & Usage
Quick Install
1. Install the server
npm install mcp-metricool
2. Configure MCP settings
Add the server to your Claude Desktop or MCP client configuration.
3. Start using
The server will be available for use with your AI assistant.
Configuration Example
{
"servers": {
"mcp-metricool": {
"command": "node",
"args": ["path/to/mcp-metricool"]
}
}
}Add this configuration to your MCP settings file.
companies-house-mcp
3.3
7
🇬🇧🏦 MCP server for UK Companies House API - Search companies, retrieve detailed information, filing history, officers, and charges data through the Model Context Protocol
mcp-EDA
3.9
28
This is the Github Repo for the paper: MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization. MCP server for a collection of open-source EDA tools
Ready to Get Started?
Install mcp-metricool and start building more capable AI applications with Model Context Protocol.