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CloudWaddie

OSINT MCP Server

twitter_user_search

Search for Twitter/X user profiles to gather open-source intelligence for security research and data analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesTwitter/X username to lookup

Implementation Reference

  • The actual implementation of the Twitter user search logic using a Nitter RSS feed.
    async getTwitterProfile(username: string): Promise<any> {
      try {
        // Using a reliable public nitter instance
        const response = await fetch(`https://nitter.net/${username}/rss`);
        if (!response.ok) throw new Error("Profile not found or instance down");
        const text = await response.text();
    
        // Basic regex extraction from RSS for bio/details
        const titleMatch = text.match(/<title>(.*?)<\/title>/i);
        const descMatch = text.match(/<description>(.*?)<\/description>/i);
    
        return {
          platform: "Twitter/X",
          username,
          title: titleMatch ? titleMatch[1] : "",
          bio: descMatch ? descMatch[1] : "No bio found or private account",
          url: `https://twitter.com/${username}`,
          nitterUrl: `https://nitter.net/${username}`
        };
      } catch (error) {
        return { platform: "Twitter/X", username, error: true, message: (error as Error).message };
      }
    }
    
    // Basic Instagram check (limited due to IG's strict blocking)
    async getInstagramProfile(username: string): Promise<any> {
      try {
        const url = `https://www.instagram.com/${username}/`;
  • src/index.ts:732-740 (registration)
    Registration of the twitter_user_search tool in the MCP server.
    server.tool(
      "twitter_user_search",
      { username: z.string().describe("Twitter/X username to lookup") },
      async ({ username }) => {
        const result = await scavengerClient.getTwitterProfile(username);
        return {
          content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
        };
      }
Behavior1/5

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Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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