What is required to use the π (twitter) Mcp Server?
An Apify API token is required. Get it from the Apify Console and set it as the `APIFY_API_TOKEN` environment variable.
@mypracticaltools
Basic information
A Model Context Protocol (MCP) server that provides comprehensive access to Twitter (π) data, including advanced search, user profiles, tweets, followers, followings, mentions, and more.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"twitter": {
"command": "npx",
"args": [
"-y",
"@practicaltools/twitter-mcp-server"
],
"env": {
"APIFY_API_TOKEN": "YOUR_APIFY_TOKEN"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
An MCP server that provides structured access to Twitter (X) data via 11 specialized tools, powered by the Apify API. Designed for AI assistants and developers who need clean, paginated Twitter data.
Install and run via npx with a single environment variable APIFY_API_TOKEN. Configure in your MCP client (e.g., Claude Desktop or GitHub Copilot) using JSON or YAML, then invoke the desired tool (e.g., twitter_search).
from:NASA, min_faves:100)An Apify API token is required. Get it from the Apify Console and set it as the `APIFY_API_TOKEN` environment variable.
The underlying Apify actor is highly cost-effective, approximately $0.10 per 1,000 results.
Advanced search with filters like `from:NASA`, `min_faves:100`, and you can choose between Latest or Top result types.
Yes, it provides seamless cursor-based pagination to fetch large datasets efficiently.
Set the `APIFY_API_TOKEN` environment variable in the server configuration, as shown in the Claude Desktop JSON or GitHub Copilot YAML examples.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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