Skip to main content
Glama
francisco-perez-sorrosal

fps-cv-mcp

by francisco-perez-sorrosal
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to fps-cv-mcp

No user-submitted related servers found.

    Related Servers

    • Interactive Curriculum MCP

      AnaCataVC
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables 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

    • cv-mcp

      dabs1
      A
      license
      A
      quality
      C
      maintenance
      Exposes a curriculum vitae hosted on a backend REST API to AI assistants over stdio, letting them retrieve the full CV, list and fetch individual sections, and search for terms like technologies or companies. It also provides the full CV as attachable context and a prompt that compares the CV against a job description to suggest improvements.
      4
      MIT

    • Resume MCP Server

      Adarshcharjan
      A
      license
      Not graded
      quality
      D
      maintenance
      Exposes 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.
      1
      MIT

    • mcp-perfil

      JeanSantos89
      A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to query a professional profile in real time through tools for experiences, skills, projects, summary, recommendations, and GitHub repositories. It also serves a bilingual landing page and generated resume PDF from the same profile data.
      7
      MIT

    • cvx

      hrtips
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server for CVX, enabling AI assistants to create, validate, and build professional CV PDFs from YAML content, with tools for schema retrieval, project initialization, validation, and rendering.
      212 npm
      2
      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 16 tools

    Disambiguation3/5

    Most tools are distinct (list vs. query vs. get vs. summarize), but several overlap: query_by_topic and query_work both search by topic, and get_cv_pdf_link/get_google_scholar_link are convenience wrappers around get_link while get_cv can also return PDF. Descriptions help clarify the boundaries, but an agent could still misselect between related retrieval and link tools.

    Naming Consistency5/5

    All tool names use a consistent snake_case verb_noun or verb_object pattern: list_*, get_*, query_*, summarize_cv. The naming is highly predictable and makes it easy to guess the general purpose of a tool before reading the description.

    Tool Count3/5

    At 16 tools is just past the typical 3-15 well-scoped range, and the set includes redundant link/query variants such as get_cv_pdf_link, get_google_scholar_link, get_link, query_by_topic, and query_work. It is not extreme, but the surface feels slightly heavy for a read-only CV/resume server.

    Completeness4/5

    For a read-only CV retrieval and tailoring domain, the coverage is strong: raw CV formats, sections, individual entries, semantic context, skill profiles, relationships, links, and tailored CV rendering are all available. Minor gaps exist only in trimming redundancy rather than missing core functionality.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources