twitter-read
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@twitter-readSearch for tweets from @polsiaHQ"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Twitter Read MCP Server
An MCP (Model Context Protocol) server for reading Twitter/X engagement data and metrics. Enables AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.
Features
Get Tweet Metrics: Fetch likes, retweets, replies, quotes, bookmarks, and impressions for any tweet
Get Mentions: Retrieve recent @mentions with engagement data
Get Replies: Access all replies to a specific tweet with metrics
Search Tweets: Search Twitter with engagement metrics included
Built-in Rate Limiting: Enforces Twitter API limits (500 requests per 15 minutes)
OAuth 2.0 Support: Compatible with Twitter API v2 authentication
Installation
Prerequisites
Node.js 18 or higher
Twitter API credentials (Bearer Token or API Key + Secret)
From Source
git clone <repository-url>
cd twitter-read-mcp
npm install
npm run buildFrom npm (future)
npm install -g @polsia/twitter-read-mcpConfiguration
Twitter API Credentials
You need Twitter API access. Get credentials from Twitter Developer Portal:
Create a Twitter Developer account
Create a new App
Generate credentials
Environment Variables
Create a .env file or set environment variables:
# Option 1: Bearer Token (recommended for read-only access)
TWITTER_BEARER_TOKEN=your_bearer_token_here
# Option 2: API Key + Secret (for OAuth 2.0)
TWITTER_API_KEY=your_api_key_here
TWITTER_API_SECRET=your_api_secret_hereNote: Bearer token is simpler for read-only operations. API Key + Secret is required for user-context operations like getting your own mentions.
MCP Configuration
Add to your MCP settings file (e.g., Claude Desktop config):
{
"mcpServers": {
"twitter-read": {
"command": "twitter-read-mcp",
"env": {
"TWITTER_BEARER_TOKEN": "your_bearer_token_here"
}
}
}
}Or if installed from source:
{
"mcpServers": {
"twitter-read": {
"command": "node",
"args": ["/path/to/twitter-read-mcp/build/index.js"],
"env": {
"TWITTER_BEARER_TOKEN": "your_bearer_token_here"
}
}
}
}Usage
Available Tools
1. get_tweet_metrics
Get engagement metrics for a specific tweet.
Parameters:
tweet_id(required): The ID of the tweet
Returns:
{
"tweet_id": "1234567890",
"text": "Tweet content here",
"created_at": "2026-01-25T00:00:00.000Z",
"author_id": "1234567890",
"metrics": {
"likes": 42,
"retweets": 8,
"replies": 5,
"quotes": 2,
"bookmarks": 10,
"impressions": 5000
},
"requestsRemaining": 498
}Example:
Get metrics for tweet 18821634084765126032. get_mentions
Get recent @mentions of your account.
Parameters:
since_date(optional): ISO 8601 date (e.g., "2026-01-20T00:00:00Z")max_results(optional): Number of mentions to return (5-100, default: 10)
Returns:
{
"mentions": [
{
"tweet_id": "1234567890",
"text": "@yourhandle great work!",
"created_at": "2026-01-25T00:00:00.000Z",
"author_id": "9876543210",
"metrics": {
"likes": 5,
"retweets": 1,
"replies": 0,
"quotes": 0
}
}
],
"count": 1,
"requestsRemaining": 497
}Example:
Show me mentions from the last 24 hours3. get_replies
Get all replies to a specific tweet.
Parameters:
tweet_id(required): The ID of the tweetmax_results(optional): Number of replies to return (5-100, default: 10)
Returns:
{
"replies": [
{
"tweet_id": "1234567891",
"text": "This is a reply",
"created_at": "2026-01-25T01:00:00.000Z",
"author_id": "9876543210",
"metrics": {
"likes": 2,
"retweets": 0,
"replies": 1,
"quotes": 0
}
}
],
"count": 1,
"requestsRemaining": 496
}Example:
Get all replies to tweet 18821634084765126034. search_tweets
Search for tweets matching a query with engagement metrics.
Parameters:
query(required): Search query (supports Twitter search operators)max_results(optional): Number of tweets to return (10-100, default: 10)start_time(optional): ISO 8601 date for earliest tweet
Returns:
{
"tweets": [
{
"tweet_id": "1234567890",
"text": "Tweet matching your query",
"created_at": "2026-01-25T00:00:00.000Z",
"author_id": "1234567890",
"metrics": {
"likes": 100,
"retweets": 20,
"replies": 10,
"quotes": 5
}
}
],
"count": 1,
"query": "from:polsiaHQ",
"requestsRemaining": 495
}Example:
Search for tweets from @polsiaHQ in the last weekRate Limiting
The server enforces Twitter API v2 rate limits:
500 requests per 15-minute window
Each tool response includes
requestsRemainingfieldRequests beyond the limit return a rate limit error
Development
Building
npm run buildWatch Mode
npm run watchTesting Locally
Run the MCP server directly:
export TWITTER_BEARER_TOKEN=your_token
npm run devThe server communicates via stdio, so you'll need an MCP client to interact with it.
Architecture
Language: TypeScript
MCP SDK:
@modelcontextprotocol/sdkv1.xTwitter Client:
twitter-api-v2for Twitter API v2Transport: stdio (standard MCP transport)
Authentication: Bearer Token or OAuth 2.0 PKCE
Error Handling
All tools return structured error responses:
{
"error": "Error message",
"code": "ERROR_CODE",
"requestsRemaining": 499
}Common errors:
Rate limit exceeded: Too many requests in 15-minute windowMissing Twitter API credentials: Environment variables not setInvalid tweet ID: Tweet doesn't exist or is privateSearch query too complex: Simplify your search query
Contributing
This project is part of the Polsia ecosystem. Contributions are welcome!
Fork the repository
Create a feature branch
Make your changes
Submit a pull request
Roadmap
OAuth 2.0 PKCE flow for user authentication
Caching layer for frequently accessed tweets
Batch operations for multiple tweets
Historical data fetching (7-day window)
User profile metrics
List management tools
License
MIT License - See LICENSE file for details
Support
Documentation: Twitter API v2 Docs
MCP Specification: Model Context Protocol
Issues: Report bugs and feature requests on GitHub
Credits
Built by Polsia for measuring marketing performance on Twitter/X. Powered by the Model Context Protocol from Anthropic.
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