Clado MCP Server

Instructions

Implementation Reference

• src/tools/linkedin-post-reactions.ts:16-39 (handler)

  The main handler function for the linkedin_post_reactions tool. It takes a post_url, calls the Clado API to fetch reactions, and returns the data as text content.

  export const linkedinPostReactionsTool = async ({
    post_url,
  }: LinkedinPostReactionsParams) => {
    const apiUrl = new URL("https://search.clado.ai/api/enrich/post-reactions");
    apiUrl.searchParams.append("url", post_url);
  
    const response = await makeCladoRequest(apiUrl.toString(), {});
    const responseData = await response.json();
  
    if (responseData.error) {
      throw new Error(
        `Failed to get LinkedIn post reactions: ${JSON.stringify(responseData.error)}`
      );
    }
  
    return {
      content: [
        {
          type: "text" as const,
          text: `LinkedIn post reactions retrieved successfully: ${JSON.stringify(responseData, null, 2)}`
        }
      ]
    };
  }; 

• src/tools/linkedin-post-reactions.ts:8-10 (schema)

  Zod schema defining the input parameter post_url for the tool.

  export const linkedinPostReactionsSchema = {
    post_url: z.string().describe("The LinkedIn post URL to analyze for reactions."),
  };

• src/index.ts:52-57 (registration)

  Registration of the linkedin_post_reactions tool with the MCP server in the main index file.

  server.tool(
    linkedinPostReactionsName,
    linkedinPostReactionsDescription,
    linkedinPostReactionsSchema,
    linkedinPostReactionsTool
  );

• src/server_setup.ts:38-43 (registration)

  Registration of the linkedin_post_reactions tool in the server setup function.

  server.tool(
    linkedinPostReactionsName,
    linkedinPostReactionsDescription,
    linkedinPostReactionsSchema,
    linkedinPostReactionsTool
  );

• src/tools/linkedin-post-reactions.ts:12-14 (helper)

  TypeScript type definition for the tool parameters.

  type LinkedinPostReactionsParams = {
    post_url: string;
  };