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Twitter Signal MCP

Live X/Twitter search, monitoring, lead discovery, and AI analysis paid per call in USDC on Base.

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Install Twitter Signal MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "twitter-signal-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "twitter-signal-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx -y twitter-signal-mcp

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 6d ago.

Overview

The twitter-signal-mcp MCP server exposes live X/Twitter search, account research, monitoring, lead discovery, and AI analysis tools. It uses x402 to charge per request in USDC on Base, so it does not require an X/Twitter API key or monthly subscription. Results include recent posts, engagement data, account details, trend summaries, pain-point clusters, and other research outputs. Reach for it when an agent needs current X/Twitter data without setting up an official API subscription.

Use cases

  • Monitor a brand, ticker, or hashtag for new posts
  • Find leads discussing a product or topic
  • Summarize current X/Twitter trends with AI
  • Inspect reactions and amplifiers around a post
  • Research accounts before outreach

Key features

  • Live advanced X/Twitter search
  • AI trend digests and pain-point clustering
  • Lead and person enrichment
  • Account, timeline, reply, and engagement research
  • Cursor-based monitoring and pagination
  • Per-call USDC payments through x402

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

5/5 checks healthy over the last 35d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev · twitter-signal-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1Stargazers on the source repository.
npm downloads715Package downloads in the last 30 days.
Last commit16d agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Twitter Signal MCP works

What twitter-signal-mcp MCP server does

The twitter-signal-mcp MCP server connects an MCP client to live X/Twitter data and exposes tools for finding posts, accounts, conversations, audiences, and activity around products or stock tickers. It supports both raw retrieval and AI-generated analysis. Search results can include author handles, follower counts, post text, timestamps, links, and engagement metrics.

The server is suited to several kinds of research: monitoring brands or topics, finding potential leads, reviewing reactions to a post, checking an account before outreach, and identifying themes in discussion about a product. It also includes tools for examining a group of accounts, following or follower networks, and posts that mention a handle.

How it works

Calls are paid individually through x402 in USDC on Base. Each tool has a stated per-call price, ranging from $0.01 for an individual tweet to $0.20 for the deeper search-to-contact workflow.

Most tools accept a handle, tweet ID, search query, ticker, or product name. Search pagination uses cursors returned by the server, allowing an agent to request older results. Watch and list operations also return cursor information so later checks can focus on newer posts.

Tools and capabilities

The twitter-signal-mcp MCP server includes these documented capabilities:

  • Search up to 20 newest matching posts with advanced search syntax, or request older pages with a cursor.
  • Generate an AI digest containing a summary, sentiment label, themes, driving accounts, and notable post URLs.
  • Find and enrich people behind matching posts, including bio information, websites, follower counts, possible email addresses, and DM-open status.
  • Cluster complaints, feature requests, and praise about a product or brand with quotes and URLs.
  • Retrieve timelines, profiles, individual tweets, reply threads, mentions, quoted posts, and retweeters.
  • Find accounts matching a name or topic and produce an AI account-engagement assessment.
  • Monitor searches, combine recent posts from 2–50 handles, and inspect follower or following pages.
  • Summarize factual X/Twitter activity for a US stock ticker, including post volume, popular posts, active accounts, and keyword flags.
  • Return enriched person cards or run the documented deeper lead-finding workflow.

The ticker tool is explicitly limited to factual activity. It does not provide sentiment, price targets, or buy, sell, or hold recommendations.

Limitations and notes

The service depends on live X/Twitter results, so returned posts, account information, and engagement figures are time-dependent. Search and list responses can be capped or paginated; agents should preserve the returned cursor when they need more results or want to poll again.

Several tools return AI-generated interpretation, including trend digests, account verdicts, pain-point clusters, and some lead enrichment. These outputs should be treated as research results rather than independently verified conclusions.

Costs vary by tool and are charged per call in USDC on Base.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Twitter Signal MCP

twitter-signal-mcp is an MCP server that connects AI clients to live X/Twitter data through x402-paid tools. Its main tools search posts, generate AI trend digests, find and enrich leads, inspect profiles and timelines, monitor new activity, analyze product pain points, and retrieve tweets, replies, mentions, and engagers.

Check the repository for the current setup instructions before adding it to an MCP client.

Yes, the README names Cursor as a supported MCP client.

Calls are paid individually in USDC on Base through x402 instead of using an X/Twitter subscription.

Pricing depends on the tool and ranges from $0.01 to $0.20 per call in the documented list. Examples include $0.02 for x_search, $0.05 for x_digest, and $0.20 for x_leads_deep; payment is made in USDC on Base.

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