Server data from the Official MCP Registry
Would you make the shortlist? Score a job against your CV: fit, gaps, ATS score, likely questions.
About
Would you make the shortlist? Score a job against your CV: fit, gaps, ATS score, likely questions.
Remote endpoints: streamable-http: https://www.calibrd.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-calibrd-agent": {
"url": "https://www.calibrd.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Calibrd Agent
Will a hiring manager shortlist you for this role? Calibrd scores one job posting against your CV and answers that before you spend an evening on the application. It shows where you fall short at your level, the questions each round will ask, how your CV lands with a recruiter and with an applicant tracking system, and it drafts the cover letter when you decide the job is worth it.
This repository is the plugin manifest only. The server runs at https://www.calibrd.com/mcp.
Listed on Smithery and Glama, and in the official MCP registry as com.calibrd/agent.
Install
Claude (claude.ai): Settings → Connectors → Add custom connector → URL https://www.calibrd.com/mcp.
Claude Code:
claude mcp add --transport http calibrd https://www.calibrd.com/mcp
Grok (grok.com / Grok Bot): grok.com/connectors → Custom → paste the URL.
Grok Build, Cursor, other MCP clients: copy .mcp.json into your project, or install this plugin from the xAI marketplace.
Give the tools a posting as text or as a link (public LinkedIn job pages, Greenhouse, Lever, Levels.fyi, careers pages). Connecting opens a Calibrd sign-in once. Reports are free, three a day. A pass removes the cap and unlocks every tool; payment is on calibrd.com, never in the chat.
Tools
| Tool | What it does | Gate |
|---|---|---|
calibrd_score_job | Match score 0–100 and the gaps at your level | Free |
calibrd_report | The full Calibrd report on one job | Free, 3 a day |
calibrd_review_cv | Recruiter and ATS scores, what to fix | Free |
calibrd_cover_letter | A draft from your CV for one job | One free, then a pass |
calibrd_status | What you have on Calibrd | Free |
calibrd_get_pass | A checkout link for a pass | Free to ask |
Running it over stdio
Most clients connect straight to https://www.calibrd.com/mcp and none of this
is needed. bridge.mjs is here for the two cases that cannot: clients that
speak only stdio, and directory scanners that need a process to start and
introspect.
node ./bridge.mjs
No dependencies and no build step — it is one file on the Node standard
library. It answers initialize and tools/list locally, so listing the tools
needs no account and no network. Running one does: tools/call forwards to the
hosted server with the bearer token in CALIBRD_ACCESS_TOKEN, and says so
plainly when there isn't one. CALIBRD_MCP_URL overrides the endpoint.
The tool catalogue in bridge.mjs mirrors the hosted server. If the server
gains or changes a tool, update the file — nothing enforces that automatically.
Your data
Calibrd Agent runs inside your assistant. Your CV, the job description and the report pass through your assistant's provider (Anthropic, OpenAI or xAI) under their terms. Calibrd itself keeps none of it: reports and CVs are generated and returned, not stored.
Full details: https://www.calibrd.com/agent and https://www.calibrd.com/privacy
License
MIT, for this manifest. Calibrd itself is a hosted service under its own terms.
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