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mnoomnoo/resume-mcp-server

by Various

MCP server enabling AI assistants to search and retrieve information from local resume and job application documents

MCP

mnoomnoo/resume-mcp-server

Added 11 June 2026

#ai #anthropic #career #claude #document-search #fastmcp #job-search #llm

Overview

An MCP server that allows AI assistants to search and retrieve information from local resume and job application documents. It uses the Model Context Protocol to integrate with compatible AI tools, enabling queries over personal career files stored on the user's machine.

Best for

Best for
Developers building personal AI assistants that need to query local job application documents

Use cases

  • Searching resumes for specific skills or experience
  • Retrieving job application details during interviews
  • Querying local career documents from an AI assistant

How to use

Install

pip install resume-mcp-server

Tools exposed

  • RESUME_DIR_HOST
  • FASTMCP_PORT
  • LOG_LEVEL
  • RESUME_DIR
  • FASTMCP_TRANSPORT
  • FASTMCP_HOST
  • cover_letter
  • application_material
  • doc_type
  • resume_id
  • current_only

Tested with

Claude Desktop, Claude Code, VS Code

Notes

An MCP server that allows AI assistants to search and retrieve information from local resume and job application documents. It uses the Model Context Protocol to integrate with compatible AI tools, enabling queries over personal career files stored on the user’s machine.

0 stars on GitHub. Last updated 2026-06-10. Licensed GPL-3.0.

Use cases

  • Searching resumes for specific skills or experience
  • Retrieving job application details during interviews
  • Querying local career documents from an AI assistant

Pros

  • Keeps sensitive resume data local and private
  • Integrates with AI assistants via standard MCP protocol
  • Simple Python implementation for easy customization

Cons

  • Zero stars indicates a new or unproven project
  • Limited to local files only, no cloud or network support
  • Requires Python environment and MCP-compatible client

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Keeps sensitive resume data local and private
  • Integrates with AI assistants via standard MCP protocol
  • Simple Python implementation for easy customization

Cons

  • Zero stars indicates a new or unproven project
  • Limited to local files only, no cloud or network support
  • Requires Python environment and MCP-compatible client

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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