Skip to main content
Glama
gage-russell

resumejson-mcp

by gage-russell

resumejson-mcp

A Model Context Protocol (MCP) server for managing JSON Resume data with MCP extensions. This server provides tools for storing and managing comprehensive career experience data that can be used to generate tailored resumes.

Features

  • JSON Resume Schema: Standard resume format with custom MCP extensions

  • Work Experience Management: Add, update, delete work positions with nested bullets and projects

  • Experience Resource: Access your complete experience.json data via MCP

  • Intelligent Guidance: Built-in prompts to help agents extract complete information

Related MCP server: MCP Employee Identity Server

Installation

uv sync

Adding the MCP to VS Code

  1. Open your VS Code settings and locate the MCP servers configuration

  2. Add the following configuration:

{
  "mcpServers": {
    "resumejson-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/resumejson-mcp",
        "run",
        "resumejson-mcp"
      ]
    }
  }
}
  1. Replace /path/to/resumejson-mcp with the actual path to your cloned repository

  2. Restart VS Code or reload the MCP servers

  3. The server will be available with tools for managing work experience

Usage

The MCP server provides the following tools:

  • get_all_work - List all work positions

  • get_work_by_id - Get details of a specific position

  • add_work - Add a new work position with bullets and projects

  • update_work - Update an existing position

  • delete_work - Remove a position

  • add_bullet_to_work - Add a single bullet to a position

  • add_major_project_to_work - Add a major project to a position

Resource

  • experience://data/experience.json - Access the complete experience data file

Data Structure

Experience data is stored in ~/.resumejson-mcp/experience/experience.json following the JSON Resume schema with MCP extensions:

{
  "basics": { /* name, email, phone, location, profiles */ },
  "work": [
    {
      "name": "Company Name",
      "position": "Job Title",
      "startDate": "2020-01",
      "endDate": "2023-12",
      "summary": "Role description",
      "url": "https://company.com",
      "location": "City, State",
      "mcp-details": {
        "id": "unique-id",
        "bullets": [
          { "id": "bullet-1", "text": "Accomplishment", "tags": ["skill"] }
        ],
        "major_projects": [
          {
            "id": "project-1",
            "name": "Project Name",
            "summary": "What you built and your role",
            "technologies": ["Python", "FastAPI"],
            "outcomes": "Results and metrics",
            "tags": ["backend"]
          }
        ],
        "tags": ["python", "api"]
      }
    }
  ],
  "education": [],
  "skills": [],
  "projects": []
}
F
license - not found
Not graded
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that provides a structured API for AI agents to query a person's resume, including profile, projects, writing, and gated access to experience and skills.
  • A
    license
    Not graded
    quality
    D
    maintenance
    Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A resume MCP server that enables AI agents to search work history by keyword or meaning, retrieve detailed company info, and send scheduling emails, turning a static resume into interactive tools.
    3
    MIT

View all related MCP servers

Related MCP Connectors

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/gage-russell/jsonresume-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server