rezi-mcp

Rezi MCP

Rezi MCP lets supported AI clients connect to your Rezi account so they can read your resumes, update them, and look up jobs while helping you tailor an application.

Server URL

https://api.rezi.ai/mcp

Connect

Claude Code

claude mcp add rezi --transport http https://api.rezi.ai/mcp

Cursor

Add this to your mcp.json:

{
  "mcpServers": {
    "rezi": {
      "url": "https://api.rezi.ai/mcp",
      "transport": "streamable-http"
    }
  }
}

Any compatible MCP client

If your client supports remote streamable HTTP MCP servers, point it to:

https://api.rezi.ai/mcp

First-time sign in

The first time your MCP client tries to use a Rezi tool, it opens the Rezi login flow in your browser. After you sign in, the client stores the access token and keeps using it until it expires. In normal use, you only need to sign in again when that token expires or if you reconnect the server.

Available tools

Tool	What it does
list_resumes	Shows your resumes, ordered by most recently updated.
read_resume	Returns the full JSON for a specific resume.
write_resume	Creates a new resume or updates an existing one.
search_jobs	Searches job listings by role and location.
get_job_details	Fetches the full details for a job found through search_jobs.

Typical workflows

Update an existing resume

1. Use list_resumes to find the right resume.
2. Use read_resume to load it.
3. Ask your AI client to make changes.
4. Use write_resume with the updated fields.

When updating, only the fields you send are changed. Sections you do not include are preserved.

Create a new resume

Call write_resume without resume_id. Rezi creates a new resume and fills in the standard defaults needed for it to work correctly in the product.

Tailor a resume to a job

1. Use search_jobs to find a role.
2. Use get_job_details to read the full posting.
3. Use read_resume to load your current resume.
4. Ask your AI client to tailor the resume for that job.
5. Use write_resume to save the result.

Notes

• You need an active Rezi subscription to use the tools.

Session behavior and security

• Credentials are stored in memory and scoped to the MCP session ID assigned by the HTTP server.
• Session credentials are refreshed automatically when they are close to expiry.
• Resume reads and writes are performed using the authenticated user's Rezi session context.
• The service does not persist credentials to disk. If the service restarts, the user needs to sign in again.

This design keeps access aligned with the user's own Rezi permissions rather than introducing a separate privileged backend identity for resume operations.