MCV - MCP Server for CV/Resume
LocalAbout MCV - MCP Server for CV/Resume
MCV is a template for serving CV and resume data to AI agents and other services via MCP. Built with Cloudflare Workers and Durable Objects, it provides structured JSON data and section-specific retrieval.
Key features
- 01Expose resume data through MCP
- 02Serve structured resume data as JSON
- 03Retrieve the full resume or specific sections
- 04Manage MCP agent state with Durable Objects
Use cases
- 01Let an AI agent retrieve resume information
- 02Fetch contact or education details
- 03Provide project sections to connected services
MCP support
Exposes resume data through standard MCP endpoints, including full-resume and section-specific retrieval for MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCV - MCP Server for CV/Resume
This project provides a template for serving your CV/Resume data via the Model Context Protocol (MCP), powered by Cloudflare Workers and Durable Objects. It allows AI agents or other services(Claude desktop,clients etc) to interact with your resume data.
Features
- MCP Server: Exposes resume data through standard MCP endpoints.
- Cloudflare Workers: Runs serverlessly on Cloudflare's edge network for low latency.
- Durable Objects: Utilizes Durable Objects for managing the MCP agent state.
- Structured Data: Serves resume data structured in JSON format.
- Specific Data Retrieval: Allows fetching the entire resume or specific sections like contact info, education, projects, etc.
Prerequisites
- Cloudflare account
Technologies Used
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.