Resume

27 tools. 0 can modify or destroy data without limits.

Read-only server. Low risk, but rate limits prevent runaway API costs.

Last updated:

0 can modify or destroy data
27 read-only
27 tools total

Community server · catalogue entry verified 02/07/2026

How to control Resume ↓

What Resume exposes to your agents

Read (27) Write / Execute (0) Destructive / Financial (0)

What can go wrong

Even read-only tools carry cost. An agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up bills.

How to control Resume

PolicyLayer is an MCP gateway — it sits between your AI agents and Resume, and nothing reaches the server without passing your rules. These are the rules we recommend:

Cap read operations
{
  "get_achievement": {
    "limits": [
      {
        "counter": "get_achievement_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register Resume — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON RESUME →

Instant setup, no code required.

All 27 Resume tools

READ 27 tools
Read get_achievement Get a single achievement (phrase skill) by ID. Read get_badge_skill Get a single badge skill by ID. Read get_collection_stats Return aggregate counts and averages across the entire loaded resume collection. Read get_education Get a single education entry by ID, including its competencies. Read get_resume Return the full extracted text of a document. Read get_resume_profile Get a resume's top-level fields (contact info, professional statement, education) Read get_side_project Get a single side project by ID, including the technologies it demonstrates. Read get_skill_frequency Return badge skills ranked by how many resumes list them, in descending order. Read get_work_experience Get a single work experience entry with its achievements. Read list_achievements list_achievements Read list_badge_skills list_badge_skills Read list_education list_education Read list_resume_summaries list_resume_summaries Read list_resumes list_resumes Read list_side_projects list_side_projects Read list_work_experiences list_work_experiences Read search_achievements search_achievements Read search_education search_education Read search_education_by_competency search_education_by_competency Read search_resumes Search across all documents for a keyword or phrase. Read search_resumes_by_name search_resumes_by_name Read search_resumes_by_skill search_resumes_by_skill Read search_resumes_by_skills search_resumes_by_skills Read search_side_projects search_side_projects Read search_side_projects_by_technology search_side_projects_by_technology Read search_skills Search badge skills by title keyword. Read search_work_experiences search_work_experiences

Questions about Resume

Is the Resume MCP server safe to use without restrictions? +

The Resume server is primarily read-only with 27 read tools. While it cannot modify data, an agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up costs. Rate limiting is still recommended.

How many tools does the Resume MCP server expose? +

27 tools across 1 categories: Read. 27 are read-only. 0 can modify, create, or delete data.

How do I enforce a policy on Resume? +

Register the Resume MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Resume tool call.

Deterministic rules across all 27 Resume tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

27 Resume tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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