Skip to main content
Glama
JoJoLaBagarre

france-travail-mcp

by JoJoLaBagarre
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to france-travail-mcp

No user-submitted related servers found.

    Related Servers

    • zar-jobs-ai-connector

      abelvalle
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that enables AI assistants to search and normalize job offers from portals like InfoJobs, while keeping the user in control of decisions. It provides read-only tools and respects official APIs and credentials.
      MIT

    • BoondManager MCP Server

      inakirealise
      F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server integrating with the BoondManager API to enable AI assistants to search, retrieve, create, and update records across 94 tools in 8 business domains.
      -

    • Recruit CRM MCP

      ebragas
      A
      license
      A
      quality
      C
      maintenance
      MCP server for Recruit CRM, enabling AI assistants to search candidates, view jobs, and manage recruiting workflows.
      53
      MIT

    • job-search-mcp

      OmriH-Elister
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.
      MIT
    • @kula-ai/mcp-server by kula-ai

      @kula-ai/mcp-serverofficial

      kula-ai
      A
      license
      A
      quality
      C
      maintenance
      MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.
      84
      66 npm
      MIT
    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

    A4.1/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool has a distinct purpose, but some slight overlap exists between ft_predict_rome and ft_search_metiers (both find ROME codes from text) and between ft_get_metier and ft_get_fiche_metier (both retrieve info for a ROME code at different depths). Descriptions clearly differentiate them, so ambiguity is minimal.

    Naming Consistency5/5

    All tools follow a consistent 'ft_verb_noun' pattern in snake_case, using verbs like get, list, predict, search. Naming is predictable and logical, making it easy for an agent to understand the action and resource.

    Tool Count5/5

    With 7 tools, the set is well-scoped for the domain of French job market data. Each tool covers a distinct need (searching, details, prediction, reference) without being overwhelming or sparse.

    Completeness4/5

    The tool set covers core workflows: searching jobs, getting offer details, retrieving job code info, converting text to codes, and listing reference data. A minor gap is the absence of a company search tool (referenced in descriptions but not implemented), but the set is largely complete for its stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources