Jekakos MCP User Data Enrichment

What jekakos-mcp-user-data-enrichment MCP server does

The jekakos-mcp-user-data-enrichment MCP server turns basic identity fields into a structured enrichment result. Its input consists of firstName, lastName, and birthDate, with the date represented as YYYY-MM-DD. The response preserves those fields and adds links for Instagram, Facebook, Twitter, and LinkedIn.

The repository includes predefined example results for John Smith, Sarah Johnson, and Michael Brown. For names outside that set, the server creates links from the supplied name. These are generated URLs, so the result should be treated as enrichment output for demonstrations or workflow prototyping, not as evidence that a matching account exists.

How it works

The primary interface follows the Model Context Protocol and communicates over standard input and output. It advertises one tool, enrich_user_data, which an MCP client can call with the three required-looking string fields described in the input schema. The returned result contains a user object and a socialLinks object.

An alternative HTTP mode exposes the same general functionality remotely. When started as an HTTP server, it provides GET /status, GET /tools, POST /tools/call, and POST /enrich-user. The dedicated POST /enrich-user endpoint accepts the enrichment payload directly. The repository also includes a Dockerfile and a Smithery configuration file for deployment and orchestration scenarios.

Setup and configuration

Install the package with npm, then start the MCP process using node src/mcp-server.js or the repository's npm run mcp script. This stdio mode is the appropriate choice for MCP clients and is the mode documented for Smithery.ai. A Smithery configuration can launch the server with Node and the path to src/mcp-server.js.

To use the HTTP wrapper, run npm start; the documented example listens on port 3000. Development commands include npm run dev, and the repository provides a direct JSON-RPC test command, a test client, and a curl example. No runtime environment variables are documented in the supplied material.

Tools and capabilities

The jekakos-mcp-user-data-enrichment MCP server provides:

• enrich_user_data for generating social links from a name and birth date.
• Mock results for three named example users.
• Automatic link generation for other names.
• MCP access over stdio.
• An optional HTTP wrapper with status, tool listing, generic tool-call, and enrichment routes.
• Smithery.ai-oriented configuration and usage examples.

Limitations and notes

The provided implementation describes generated and mock social links, not a lookup against Instagram, Facebook, Twitter, or LinkedIn APIs. It does not document account verification, search ranking, authentication, rate limits, or profile existence checks. Consumers should therefore decide how to handle potentially nonexistent or ambiguous URLs before using the output in production workflows.

The documented MCP interface contains one tool only. The README does not describe additional input fields, persistence, user databases, or external data sources. The jekakos-mcp-user-data-enrichment MCP server is consequently best suited to controlled examples, MCP demonstrations, and workflows that need predictable URL-shaped output from basic user information.