Twitter (X) MCP Server: Connect AI Agents to Twitter Data

The Twitter (now X) API used to be free, then it cost $5,000 a month, then it cost more. The third-party scrapers exist but plug them into an agent and you find out fast which ones break, which ones rate-limit silently, and which ones return malformed JSON. An MCP server fixes the agent integration half of that problem. This guide explains what a Twitter MCP server is, what tools it should expose, and how to wire CreatorCrawl's into Claude Desktop, Cursor, Windsurf, or any other MCP-compatible runtime.

#What an MCP server is

MCP (Model Context Protocol) is the protocol Anthropic shipped for connecting AI agents to external tools and data. The client connects to a server, lists the available tools, and the agent picks which ones to call based on the user prompt. No per-source code, no orchestration to write on the agent side.

For Twitter, the protocol matters because the platform's data model is hierarchical and the agent needs to chain calls: pull a profile, pull tweets, branch to threads, scan replies. MCP makes this chain a single prompt instead of a stack of function calls.

#What CreatorCrawl's Twitter MCP exposes

Tool	What an agent uses it for
get_twitter_profile	"Pull the bio, followers, and stats for @elonmusk"
get_twitter_user_tweets	"Show me the last 50 tweets from this account"
get_twitter_tweet	"Pull this specific tweet, its replies, and engagement"
get_twitter_transcript	"Get the transcript from this video tweet"
get_twitter_community	"Get details for this X Community"
get_twitter_community_tweets	"Pull the recent tweets from this Community"

Each tool returns structured JSON. Tweets come back with the metrics, the media URLs, and the conversation context an agent needs to reason.

#Why agents want Twitter data

Three workflows that justify the integration.

Real-time monitoring. Twitter is still where breaking news, product launches, and outage reports surface first. An agent that scans for mentions of your brand, competitors, or category keywords on a schedule is the cheapest real-time intelligence layer you can build.

Founder and exec research. Before any sales call, an agent can pull a prospect's last 30 tweets and tell you what they care about, what they have been complaining about, and what they recently launched. That used to be a manual scroll, now it is one prompt.

Thread mining. Long-form Twitter threads are how a chunk of the internet shares knowledge. An agent can pull a thread, summarise it, and surface the parts that match what you are researching. Same logic for X Communities, which are now where a lot of niche discussion happens.

MCP matters here because real Twitter workflows are multi-step. Profile -> recent tweets -> branch into the most engaging threads -> pull replies. Without MCP you write that orchestration. With MCP the agent does it.

#Setup

#Prerequisites

1. Sign up for CreatorCrawl and grab an API key.
2. Pick an MCP client.

Endpoint: https://app.creatorcrawl.com/api/mcp. Same URL for every platform.

#Claude Desktop

Settings, MCP Servers, paste:

{
  "mcpServers": {
    "creatorcrawl": {
      "url": "https://app.creatorcrawl.com/api/mcp",
      "headers": {
        "x-api-key": "your_api_key_here"
      }
    }
  }
}

Restart. Twitter tools register with the rest of the CreatorCrawl tools.

#Cursor

Cursor settings, MCP Servers, same JSON.

#Windsurf

Settings > MCP, same JSON, restart. Cascade picks them up.

#Custom MCP client

import { Client } from '@modelcontextprotocol/sdk/client/index.js'
import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js'

const transport = new StreamableHTTPClientTransport(
  new URL('https://app.creatorcrawl.com/api/mcp'),
  { requestInit: { headers: { 'x-api-key': 'your_api_key_here' } } },
)

const client = new Client({ name: 'twitter-agent', version: '1.0.0' })
await client.connect(transport)

const tweets = await client.callTool({
  name: 'get_twitter_user_tweets',
  arguments: { handle: 'elonmusk', limit: 50 },
})

#Example prompts

#Prospect briefing

"Pull the last 50 tweets from @example. Tell me what they have been talking about this month, anything that looks like a product launch or hiring signal, and draft a one-paragraph opener for a cold email that references something specific they posted."

Profile + user-tweets call, agent synthesises and writes the copy.

#Competitor watch

"Every morning, pull the latest 20 tweets from these 5 competitor accounts. Flag anything that mentions pricing changes, new features, or hiring. Send me the digest as a bullet list."

Scheduled agent run, batch user-tweets calls.

#Thread mining

"Pull this Twitter thread [URL] and summarise it into a structured brief: main argument, three to five supporting points, and the most quotable line."

Single tweet call with replies, model handles the rest.

#Real-time topic monitoring

"Find the most engaged-with tweets from the last 24 hours that mention 'model context protocol' or 'MCP server'. For each one tell me the author, the engagement, and a one-line summary."

Search + tweet calls, ranked by engagement.

#Community research

"Pull recent tweets from this X Community [URL]. Tell me what topics are dominating the conversation and which accounts seem most active."

Community + community-tweets calls, agent does the clustering.

#Pricing

Each tool call uses 1 credit:

Pack	Credits	Price
Free	250	$0
Starter	5,000	$29
Pro	20,000	$99
Scale	100,000	$299

Credits never expire. No subscription minimum.

#FAQ

Is this the official X API. No. The official API requires a paid plan that starts at four figures a month and is restrictive on bulk data. CreatorCrawl returns the same public data structured for agent use, billed per call.

Does this work on protected accounts. No. Public accounts only.

Can I post or DM through this. No. Read-only. Posting from third-party automation is a fast path to account suspension.

Can I use this from non-Anthropic agents. Yes. MCP is open. OpenAI Responses API, LangChain agents, your own runtime, anything MCP-compatible works.

#Next

Read the MCP docs for the full tool list. Sign up to start. If you also need TikTok, Instagram, YouTube, LinkedIn, or Reddit data, the same endpoint covers all of them.