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𝕏 (twitter) MCP Server

@mypracticaltools

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

mypracticaltools

提交者

ECC Admin

关于 𝕏 (twitter) MCP Server

A Model Context Protocol (MCP) server that provides comprehensive access to Twitter (𝕏) data, including advanced search, user profiles, tweets, followers, followings, mentions, and more.

#twitter#mcp#data-access

𝕏 (twitter) MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "twitter": {
      "command": "npx",
      "args": [
        "-y",
        "@practicaltools/twitter-mcp-server"
      ],
      "env": {
        "APIFY_API_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

𝕏 (twitter) MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is 𝕏 (twitter) Mcp Server?

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.

How to use 𝕏 (twitter) Mcp Server?

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).

Key features of 𝕏 (twitter) Mcp Server

  • Advanced search with filters (e.g., from:NASA, min_faves:100)
  • User profiles, followers, following, and latest tweets
  • Engagement data: mentions, retweeters, quotes, replies
  • Fetch tweets from specific Twitter lists
  • Seamless cursor-based pagination for large datasets
  • Cleaned data with noise removal and truncation for LLMs

Use cases of 𝕏 (twitter) Mcp Server

  • Retrieve recent tweets from a specific user for analysis
  • Search for tweets with advanced filters to monitor topics
  • Analyze engagement around a tweet (quotes, retweeters, replies)
  • Gather followers or following lists for network mapping
  • Collect tweets from curated Twitter lists for research

常见问题

1

What is required to use the 𝕏 (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.

2

How much does using this server cost?

The underlying Apify actor is highly cost-effective, approximately $0.10 per 1,000 results.

3

What kind of search is supported?

Advanced search with filters like `from:NASA`, `min_faves:100`, and you can choose between Latest or Top result types.

4

Does the server support pagination?

Yes, it provides seamless cursor-based pagination to fetch large datasets efficiently.

5

How do I authenticate in my MCP client?

Set the `APIFY_API_TOKEN` environment variable in the server configuration, as shown in the Claude Desktop JSON or GitHub Copilot YAML examples.

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