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Cv.json — open CV data

Searches people open to work and retrieves their machine-readable cv.json profiles for AI assistants.

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Install Cv.json — open CV data

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cv-json-open-cv-data": {
      "command": "npx",
      "args": [
        "-y",
        "ajv-cli"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

The install command installed and started the server, which then stopped for configuration (such as an API key) that our sandbox does not have — expected for servers that connect to your account.

npx -y ajv-cli

Process exited before answering initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1d ago.

Overview

cv.json — open CV data connects AI assistants with people who are open to work and their machine-readable CV profiles. It supports searching for candidates and fetching an individual's cv.json document from a stable URL. The underlying format uses structured JSON instead of requiring PDF parsing, with sections for work, education, skills, projects, availability, and related career data. Reach for it when an agent needs structured candidate information rather than unstructured résumé text.

Use cases

  • Search for candidates who are open to work
  • Fetch structured CV data for candidate review
  • Match career profiles against role requirements
  • Read work history without parsing PDF résumés

Key features

  • Searches people open to work
  • Fetches machine-readable cv.json profiles
  • Exposes structured career data
  • Supports availability and skills data
  • Avoids PDF résumé parsing

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

7/7 checks healthy over the last 40d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev · ajv-cli (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars4Stargazers on the source repository.
npm downloads1.6MPackage downloads in the last 30 days.
Last commit3mo agoMost recent push to the default branch.
Install checkRunsOur sandbox started it; it then asked for an API key or config.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Cv.json — open CV data works

What cv.json — open CV data does

cv.json — open CV data gives an AI assistant access to structured career information published as cv.json documents. The listing describes two core functions: finding people who are open to work and retrieving a selected person's machine-readable CV. This is intended for recruiting, candidate discovery, and other workflows that need career data in a predictable format.

The source format represents a CV as one JSON document at a stable URL. A document can include basic identity and contact information, employment, education, skills, projects, languages, publications, awards, volunteering, interests, references, and metadata. It can also carry availability details, ATS-oriented hints, verification information, translations, and user-defined sections.

How it works

The server acts as an interface between an AI assistant and published cv.json data. An assistant can search for relevant open-to-work people, then fetch a person's JSON profile for closer inspection or downstream matching.

Published profiles are designed to be read over HTTP from stable URLs. The format does not require PDF extraction, and the project documentation describes public endpoints without authentication or API keys for its example profile. Consumers should treat the JSON schema as the source of field meanings rather than assuming every profile contains every section.

Setup and configuration

It also does not list required environment variables. Start with the repository documentation to determine how the server is launched and how an AI client connects to it.

For data publishers, the related cv.json format can be hosted by FreeCV or served from any web server. A conforming document should be available at a stable URL, use application/json, and can advertise discovery through an HTML alternate link or a /.well-known/cv.json manifest. Those publishing instructions describe the data format, not necessarily this MCP server's runtime setup.

Tools and capabilities

The documented capabilities are:

  • Search for people who are open to work.
  • Fetch a person's machine-readable cv.json profile.
  • Expose structured career fields such as employment, education, skills, projects, and availability to an AI assistant.
  • Work with profiles designed for direct JSON consumption instead of PDF parsing.

Limitations and notes

cv.json is described as an emerging, non-ratified schema maintained by FreeCV. Its version 1 format requires only basics and meta; other sections are optional, and consumers are expected to ignore unknown fields. ATS values are hints rather than authoritative facts, while references can be controlled through show, on-request, or hide modes.

The schema includes optional personal fields and recommends consent controls for sensitive information, so agents should handle retrieved profiles according to the publisher's permissions and applicable privacy requirements.

Read the full README View source on GitHub

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Frequently Asked Questions about Cv.json — open CV data

cv.json — open CV data is an MCP server that connects AI assistants to people who are open to work and their machine-readable cv.json profiles. Its main tools are searching for candidates and fetching a person's cv.json document.

Use the repository documentation to identify its launch command, transport, and client configuration. The README does document how cv.json profiles are published and fetched, but those data-publishing steps are separate from installing the MCP server.

You can search for people who are open to work.

It fetches a person's machine-readable cv.json profile from a stable URL. The underlying format is a JSON document that may contain work history, education, skills, projects, availability, and other career sections.

The listing says the server is intended for AI assistants, but it does not name Cursor or document a client-specific setup. Confirm the server's transport and Cursor configuration requirements in the repository before adopting it.

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