resume-mcp-server 0.1.1

MCP server for browsing and searching job application documents

resume-mcp-server

An MCP server for browsing and searching job application documents — resumes, cover letters, and related materials.

Supports .docx, .pdf, .md, and .txt files, including nested subdirectories.

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Quick Start

Give Claude structured access to your resume collection. The server parses your documents on startup and exposes 16 tools for searching by name, company, skill, or full text — with automatic hot-reload when files change.

Try it immediately with the included sample resumes:

pip install .
RESUME_DIR=./sample_resumes resume-mcp-server

Then connect Claude Code:

claude mcp add resume-collection resume-mcp-server -e RESUME_DIR=$(pwd)/sample_resumes

For a persistent setup with Docker or your own documents, see Docker Deploy or Dev Environment.

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Docker Deploy

The recommended way to run the server. Docker Compose exposes the server over HTTP so any AI client can connect to it.

1. Set your resume directory

Copy the example env file and set your documents path:

cp .env.example .env
# then edit RESUME_DIR_HOST in .env

2. Build and start

docker compose build resume-mcp
docker compose up -d

The server is now available at http://localhost:8001/mcp.

3. Connect your AI client

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "resume-collection": {
      "type": "http",
      "url": "http://localhost:8001/mcp"
    }
  }
}

VS Code (.vscode/mcp.json):

{
  "servers": {
    "resume-collection": {
      "type": "http",
      "url": "http://localhost:8001/mcp"
    }
  }
}

Claude Code:

claude mcp add resume-collection --transport http http://localhost:8001/mcp

To add it globally across all projects, add the following to ~/.claude.json instead:

{
  "mcpServers": {
    "resume-collection": {
      "type": "http",
      "url": "http://localhost:8001/mcp"
    }
  }
}

Stopping

docker compose down

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Dev Environment

For local development or running the server without Docker.

Prerequisites

Python 3.12+

Install

pip install .
# include test dependencies:
pip install ".[dev]"

Run

resume-mcp-server
# with a custom directory:
RESUME_DIR=/path/to/docs resume-mcp-server

Or create a .env file in the directory you run the server from:

# .env
RESUME_DIR=/path/to/docs
FASTMCP_PORT=8001

Then just run resume-mcp-server — the .env is loaded automatically. Variables already set in your shell or by the MCP client always take precedence over .env values.

Connect your AI client (stdio)

Claude Desktop:

{
  "mcpServers": {
    "resume-collection": {
      "command": "resume-mcp-server",
      "env": {
        "RESUME_DIR": "/path/to/your/resumes"
      }
    }
  }
}

If resume-mcp-server is not on your PATH, use the full path (e.g. ~/.venv/bin/resume-mcp-server).

Claude Code:

claude mcp add resume-collection resume-mcp-server -e RESUME_DIR=/path/to/your/resumes

uvx (coming soon — requires PyPI publish):

{
  "mcpServers": {
    "resume-collection": {
      "command": "uvx",
      "args": ["resume-mcp-server"],
      "env": {
        "RESUME_DIR": "/path/to/your/resumes"
      }
    }
  }
}

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Configuration

Docker Compose (.env):

Variable	Description
RESUME_DIR_HOST	Path on your machine to the documents directory — mounted to /resumes inside the container
FASTMCP_PORT	Port the HTTP server listens on (default 8001)
LOG_LEVEL	Logging verbosity: DEBUG, INFO, WARNING, ERROR (default INFO)

Local run (environment variables or .env):

Variable	Default	Description
RESUME_DIR	~/resumes	Directory scanned for documents
FASTMCP_TRANSPORT	http	Transport protocol (http or stdio)
FASTMCP_HOST	0.0.0.0	Bind address
FASTMCP_PORT	8001	Port the HTTP server listens on

A .env file in the working directory is loaded automatically on startup if present. Shell environment variables and values set by the MCP client always take precedence over .env values.

The server scans RESUME_DIR recursively on startup and reloads automatically when files change.

Document type inference

Types are inferred from filenames:

Type	Filename patterns
resume	contains resume
cover_letter	cover letter, _cl., coverletter
application_material	interview, study guide, why_, application question, job desc
other	everything else

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MCP Tools

list_resume_summaries

List all resumes as lightweight identity records. Use this first to orient and pick a resume_id before fetching details — much more token-efficient than list_resumes.

No parameters.

Returns: id, first_name, last_name, email, phone_num for each resume.

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list_resumes

List all documents, optionally filtered by type.

Parameter	Type	Description
doc_type	string (optional)	resume, cover_letter, application_material, or other

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get_resume

Return the full extracted text of a document.

Parameter	Type	Description
path	string	Relative path as returned by list_resumes

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get_resume_profile

Get a resume's top-level fields (contact info, professional statement, education) without the nested work experience or badge skill lists. Prefer this over get_resume when you need structured contact data rather than raw text.

Parameter	Type	Description
resume_id	string	Resume ID from list_resume_summaries or search_resumes_by_name

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search_resumes

Full-text search across all documents (case-insensitive), sorted by match count.

Parameter	Type	Description
query	string	Text to search for
doc_type	string (optional)	Filter by type (same values as list_resumes)

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search_resumes_by_name

Find resumes by person name (first or last name). Returns minimal identity fields — use the returned id with other tools to fetch full details.

Parameter	Type	Description
query	string	Name fragment to search for (case-insensitive, partial match)

Returns: id, first_name, last_name, email, phone_num.

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search_resumes_by_skill

Find which resumes list a given badge skill. Returns resume identity and matched skill names — more token-efficient than list_resumes when filtering by skill.

Parameter	Type	Description
skill	string	Skill title fragment to search for (case-insensitive, partial match)

Returns: id, first_name, last_name, matched_skills.

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search_skills

Search badge skills (technologies, tools, languages) by title.

Parameter	Type	Description
query	string	Text to search for in skill titles (case-insensitive)

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search_work_experiences

Search work experiences by company name, position title, or achievement description bullets. Each result includes a resume_id field identifying which resume the entry belongs to.

Parameter	Type	Description
query	string	Text to search for (case-insensitive)

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list_work_experiences

List work experience entries, optionally scoped to a single resume and/or only current roles.

Parameter	Type	Description
resume_id	string (optional)	Resume ID from list_resume_summaries
current_only	boolean (optional)	If true, return only roles where end_date is "Present"

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get_work_experience

Get a single work experience entry with its achievement bullets.

Parameter	Type	Description
id	string	Work experience ID from list_work_experiences

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list_achievements

List all achievement bullets, optionally scoped to a single resume.

Parameter	Type	Description
resume_id	string (optional)	Resume ID from list_resumes

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get_achievement

Get a single achievement bullet by ID.

Parameter	Type	Description
id	string	Achievement ID from list_achievements

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search_achievements

Search achievement descriptions directly, returning only matching bullets with minimal parent context. More token-efficient than search_work_experiences when you only need matching bullets.

Parameter	Type	Description
query	string	Text to search for in achievement descriptions (case-insensitive)
resume_id	string (optional)	Resume ID to scope the search to one resume

Returns: id, desc, company_name, position_title, work_experience_id, resume_id.

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list_badge_skills

List all badge skills, optionally scoped to a single resume.

Parameter	Type	Description
resume_id	string (optional)	Resume ID from list_resumes

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get_badge_skill

Get a single badge skill by ID.

Parameter	Type	Description
id	string	Badge skill ID from list_badge_skills