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Query an AI project portfolio, search by tech, and get project details.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Portfolio MCP Server" yet — see the docs or source repo.
Find projects in this portfolio that use RAG and vector databases, and list each project's name, purpose, and tech stack.
A filtered list of matching projects with each project's core purpose and relevant technologies.
Tell me about the customer support AI project in the portfolio, focusing on target users, key features, implementation, and outcomes.
A detailed project summary covering business context, feature highlights, technical implementation, and results.
Summarize the overall strengths of this AI project portfolio, including key domains, common technologies, and the most representative project types.
A high-level summary that helps users quickly understand the portfolio's experience areas and technical strengths.
Search portfolio experience, skills, and contact details using natural language.
Explore a developer’s profile, skills, and projects via natural language.
Use AI to understand codebases, key files, and project flows quickly.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Store, search, and summarize codebase notes during coding sessions.
Manage project knowledge and requirements with fast full-text search and updates.