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Expose structured professional profile data so AI can answer personal background questions accurately.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "whoami-mcp" yet — see the docs or source repo.
Using the profile data from whoami-mcp, summarize this person's work history, core skills, and recent projects in a short brief suitable for pre-interview review.
A concise, fact-based candidate summary covering experience, skills, and key projects.
Based on the structured data in whoami-mcp, answer: What is this person's current role? Which technologies are they strongest in? Do they have management experience? List the evidence for each answer.
Clear answers to each question with supporting evidence or referenced profile fields.
Read the data in whoami-mcp and write a Chinese self-introduction under 120 characters and an English LinkedIn bio that is accurate, professional, and not exaggerated.
A bilingual professional bio aligned with the real profile data and ready for public use.
Turn CVs and projects into MCP tools for querying and job matching.
Store and search family records like warranties and school letters.
Turn existing APIs and databases into MCP tools for direct AI use.
Query WHOOP health data in natural language for sleep, recovery, and workouts.
Use Claude via MCP for prompting, structured analysis, and content generation.
Manage candidate profiles and job-search data through an MCP-enabled API.