mcp-perfil
Related Servers
Alternatives to mcp-perfil
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceExposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.6-
- AlicenseNot gradedqualityDmaintenanceExposes a structured professional resume as a set of AI-queryable tools, enabling AI clients like Claude Desktop to query summary, experience, skills, projects, and tailor resumes to job descriptions.1MIT
- AlicenseNot gradedqualityDmaintenanceExposes a public, read-only professional profile with tools to search resume evidence, fetch curated links, and generate career briefs for LLM agents.MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol (MCP) server that exposes a professional profile — certifications, industry articles, open source contributions, and live GitHub activity — as a queryable API for AI agents.711MIT
- AlicenseAqualityBmaintenanceEnables MCP-compatible AI clients to retrieve a professional profile as callable tools, including projects, work experience, skills, and live GitHub activity.5MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants and LLM clients to query a professional CV and portfolio, including work history, technical skills, projects, job compatibility evaluation, education, and contact details.MIT
TDQS
Scored across 7 tools
Each tool targets a clearly distinct resource or action: experiences, skills, projects, summary, recommendations, GitHub repo list, and GitHub repo detail. The list-versus-detail distinction for GitHub is explicit, leaving no meaningful overlap.
Six tools follow a consistent Portuguese verb_noun snake_case pattern (buscar_*, listar_*), and all use snake_case. The exception is 'resumo_perfil', a noun phrase that breaks the verb-first convention.
Seven tools is well-scoped for a read-only professional profile server. Each tool earns its place by covering a distinct profile section or GitHub operation.
The surface covers summary, experiences, skills, projects, recommendations, and GitHub repositories, but omits common profile sections like education, certifications, and languages. These are notable gaps that could cause agent failures for users expecting full profile coverage.