twitterapi.mcp

twitterapi.mcp

MCP server that exposes twitterapi.io endpoints as tools for AI agents, enabling reading tweets, mentions, thread context, and writing tweets with cookie-based authentication.

Category
Visit Server

README

twitterapi.mcp

npm

MCP server that exposes twitterapi.io endpoints as tools for AI agents and MCP hosts. Written in TypeScript, distributed on npm, runnable with a single npx command.

Current Tools

Tool Description API Endpoint Auth
get_user_mentions Fetch tweets mentioning a user. GET /twitter/user/mentions API key
get_tweet_thread_context Fetch a page of the conversation thread around a tweet. GET /twitter/tweet/thread_context API key
create_tweet Create a tweet or reply. POST /twitter/create_tweet_v2 API key + cookies + proxy
delete_tweet Delete one of your tweets. POST /twitter/delete_tweet_v2 API key + cookies + proxy

Quick Start

1. Get an API key

Visit https://twitterapi.io/dashboard and obtain your x-api-key.

2. Cookies + proxy for write actions

create_tweet and delete_tweet authenticate with your account's own session cookies. From a browser logged into X, open DevTools → Application → Cookies → https://x.com and copy the auth_token and ct0 values.

Variable Required Description
TWITTERAPI_IO_KEY always twitterapi.io API key
TWITTERAPI_IO_AUTH_TOKEN writes auth_token cookie from a logged-in X session
TWITTERAPI_IO_CT0 writes ct0 cookie from the same session
TWITTERAPI_IO_PROXY writes Residential proxy, http://user:pass@ip:port (required by the write endpoints)

The server derives the login_cookies value twitterapi.io expects from auth_token + ct0. These cookies expire over time (typically weeks); when a write starts returning an auth error, refresh them from the browser.

The API key alone is enough for the read tools. Add the cookie/proxy vars only if you need write actions.

3. Add to your MCP host

Claude Desktop (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "twitterapi": {
      "command": "npx",
      "args": ["-y", "@pedrot95dev/twitterapi.mcp"],
      "env": {
        "TWITTERAPI_IO_KEY": "your_key_here",
        "TWITTERAPI_IO_AUTH_TOKEN": "your_auth_token_cookie",
        "TWITTERAPI_IO_CT0": "your_ct0_cookie",
        "TWITTERAPI_IO_PROXY": "http://user:pass@ip:port"
      }
    }
  }
}

npx -y @pedrot95dev/twitterapi.mcp downloads and runs the latest published version. Only Node.js (>= 18) is required — no global install needed.

Other MCP hosts (e.g. Cursor): add the same npx command + env vars in the host's MCP settings UI or config file.

Tool: get_user_mentions

Fetch tweets that mention or reply to a user. Makes a single request per call; page by passing cursor from a previous response's next_cursor.

Parameter Type Default Description
user_name string (required) X username, with or without @
since_time string — Start time filter (e.g. 2025-06-01 or ISO datetime)
until_time string — End time filter
cursor string — Pagination cursor from a previous next_cursor
query_type "Latest" | "Relevance" "Latest" Sort mode
limit integer 50 Max tweets to return from this single request
{
  "tweets": [ ... ],
  "count": 12,
  "has_next_page": true,
  "next_cursor": "DAADDAAB...",
  "status": "success",
  "msg": null
}

Tool: get_tweet_thread_context

Fetch the conversation thread around a tweet. Returns the original tweet, the intermediate replies up the chain, the tweet itself, and its direct replies. Each returned tweet includes entities.urls with expanded links — useful for scanning a mention's surrounding conversation for URLs.

Makes exactly one request per call (1-to-1 with the endpoint — no internal pagination). Page through longer threads with cursor.

Parameter Type Default Description
tweet_id string (required) The tweet ID to get the thread context for
cursor string — Pagination cursor from a previous next_cursor
{
  "tweets": [ ... ],
  "count": 6,
  "has_next_page": false,
  "next_cursor": "",
  "status": "success",
  "msg": "success"
}

Note: this endpoint paginates unevenly — a page may return few or zero tweets while has_next_page is still true. Follow next_cursor until has_next_page is false to collect the whole thread.

Tool: create_tweet

Post a new tweet or reply. Supports quotes, media, communities, and scheduling. Requires the cookie + proxy env vars (see step 2).

Parameter Type Default Description
tweet_text string (required) The text content of the tweet
reply_to_tweet_id string — Tweet ID to reply to (makes this a reply)
quote_tweet_id string — Tweet ID to quote
attachment_url string — URL for quote (alternative to quote_tweet_id)
community_id string — Post inside a specific community
is_note_tweet boolean false Allow >280 chars (Premium accounts)
media_ids string[] — Media IDs from a prior /twitter/upload_media_v2
schedule_for string — ISO-8601 future time, e.g. 2026-01-20T10:00:00.000Z
{ "tweet_id": "1234567890123456789", "status": "success", "msg": "success" }

Tool: delete_tweet

Delete one of your tweets by ID. Requires the cookie + proxy env vars.

Parameter Type Default Description
tweet_id string (required) The ID of the tweet to delete
{ "status": "success", "msg": "success" }

Contributing

Local development, build, and testing instructions are in CONTRIBUTING.md.

License

MIT — see LICENSE.

Credits

Based on the official twitterapi-io agent skill: https://github.com/kaitoInfra/twitterapi-io API service: https://twitterapi.io

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured