Rxresume MCP
R

Rxresume MCP

An MCP wrapper around the Reactive Resume REST API for operating resume data through MCP tools.
2.5 points
0

What is the RxResume MCP Server?

The RxResume MCP Server is a Model Context Protocol (MCP) server that encapsulates the REST API functionality of Reactive Resume. Reactive Resume is an open - source resume builder, and this MCP server enables you to directly manipulate your resume data through AI assistants (such as Claude, Cursor, etc.). You can use natural language instructions to create, update, export, and manage your resumes without manually operating the Reactive Resume web interface.

How to use the RxResume MCP Server?

Using the RxResume MCP Server requires three basic steps: 1) Install the MCP server (via Docker or a Python package), 2) Configure your MCP client (such as Cursor, Claude Desktop, etc.), 3) Connect to your Reactive Resume instance. After configuration, you can use natural language to manage your resumes through the AI assistant.

Use Cases

The RxResume MCP Server is particularly suitable for the following scenarios: quickly updating resume content, optimizing resume copy through an AI assistant, batch - managing multiple resume templates, automating the resume generation process, or integrating resume management into your workflow.

Main Features

Resume Management
Create, read, update, and delete resumes, and manage multiple resume templates
Content Editing
Edit various parts of the resume through natural language: personal information, work experience, education background, skills, etc.
Export Function
Export resumes in multiple formats (PDF, JSON, etc.) for easy sharing and use
Template Operations
Manage and apply different resume templates to quickly switch resume styles
Multi - Deployment Support
Supports connecting to the official rxresu.me service or a self - hosted Reactive Resume instance
Advantages
No manual operation required: Manage resumes through natural language instructions
Easy integration: Seamlessly integrate with existing AI assistants and workflows
Flexible deployment: Supports two deployment methods, Docker containers and Python packages
Open - source and free: Based on an open - source project, no usage fees
Standardized interface: Follows the MCP protocol and is compatible with multiple clients
Limitations
Requires a Reactive Resume instance: A running Reactive Resume service must already exist
Technical configuration: Some technical knowledge is required for initial configuration
Network dependency: A stable network connection is required to access the API
Function limitations: Limited by the functionality scope of the Reactive Resume API

How to Use

Prepare a Reactive Resume Instance
Ensure you have an accessible Reactive Resume instance. You can use the official rxresu.me service or deploy an instance yourself. Obtain your API key.
Install the MCP Server
Choose an installation method that suits you. The Docker method is recommended as it is simple and fast.
Configure the MCP Client
Add server configuration to your MCP client (such as Cursor, Claude Desktop, etc.). Here is an example of Cursor configuration:
Start Using
After configuration, restart your AI assistant client. Now you can manage resumes through natural language instructions.

Usage Examples

Create a technical resume
You are applying for a software engineer position and need to create a professional technical resume
Update work experience
You have just completed an important project and need to update the work experience section of your resume
Optimize resume copy
You think some descriptions in your resume are not professional enough and need to optimize the expression
Export and share the resume
You need to send your resume to the hiring manager and need to export it in PDF format

Frequently Asked Questions

Do I need to deploy Reactive Resume myself?
Is this MCP server free?
Which MCP clients are supported?
Is my resume data secure?
What should I do if I encounter connection problems?
Can I perform batch operations on multiple resumes?

Related Resources

GitHub Repository
The source code and latest version of the RxResume MCP Server
Reactive Resume Official Website
The official Reactive Resume service
Reactive Resume GitHub
The Reactive Resume open - source project
Model Context Protocol Documentation
The official specification and documentation of the MCP protocol
Docker Image
Pre - built Docker container image
PyPI Package
Python package installation page

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "rxresume": {
      "command": "uv",
      "args": ["run", "rxresume-mcp", "--mcp-transport", "stdio"],
      "env": {
        "APP_URL": "https://rxresu.me",
        "REST_API_KEY": "your-rxresume-api-key",
        "REST_API_TIMEOUT": "30",
        "REST_API_USER_AGENT": "rxresume-mcp/<package version>"
      }
    }
  }
}

{
  "mcpServers": {
    "rxresume": {
      "command": "uv",
      "args": [
        "run",
        "--project",
        "/absolute/path/to/rxresume-mcp",
        "rxresume-mcp",
        "--mcp-transport",
        "stdio"
      ],
      "env": {
        "APP_URL": "https://rxresu.me",
        "REST_API_KEY": "your-rxresume-api-key",
        "REST_API_TIMEOUT": "30",
        "REST_API_USER_AGENT": "rxresume-mcp/<package version>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.3K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.1K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.5K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase