About reloop-role-intel
reloop-role-intel analyzes job ads for AI agents and applicants, identifying supported seniority, title fit, requirement inflation and role capabilities. It offers a no-key quick check and a fuller evidence-backed brief using an API key.
Key features
- 01No-key quick job-ad check
- 02Calibrated role level and title fit
- 03Capability analysis with ad evidence
- 04Requirement inflation and engagement type
- 05Role shape across operating-style axes
Use cases
- 01Assess a role before applying
- 02Compare a job title with its scope
- 03Review role capabilities and requirements
- 04Generate a structured role-demand brief
MCP support
The MCP server exposes tools to run a quick job-ad check, submit a full read and retrieve its result. Full reads require an API key; quick checks do not.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y reloop-role-intel-mcpRELOOP_API_KEYSecretOptional. Your ReLoop.me API key, only for full reads (free sandbox key at https://api.reloop.me/#get-a-key). The quick check works without it.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| jd_text | string | Yes | The full job ad text (300–15,000 characters). The text is not stored. |
| location | string | No | City or country of the role, if known. |
Details
From the project READMEReLoop.me Role Intel — MCP server
Read between the lines to see the bigger picture. Capability intelligence for job ads, for AI agents.
- Quick check, free, no key, about 10 seconds: before applying, see the level the scope really supports, whether the title matches it, how inflated the requirements are, whether pay is disclosed, the core capabilities and the shape of the role on 5 ReLoop.me axes, as structured fields and codes. Fewer, better applications.
- Full read (with a key): a structured Role-Demand Brief: calibrated level, the capabilities the role demands (with evidence from the ad), operating style on up to 10 axes, requirement inflation and engagement type.
- Pay: the API gives no salary ranges. Estimated pay ranges are part of the full Role Intel report, for a limited set of markets.
ReLoop.me reads roles, never people. Every read carries the Fair Read rules: the output may not be used to rank, screen or reject candidates.
Tools
| Tool | What it does |
|---|---|
quick_check_job_ad | Quick check of one job ad in about 10 seconds. No key needed (5 per user and 50 in total per day). |
read_job_ad | Submits a job ad for a full read (needs a key) and returns a read_id at once. Full reads take 5–8 minutes. |
get_read | Fetches the full read by read_id. |
Get a key
Only needed for full reads. Free sandbox key (returns a sample read, no card): https://api.reloop.me/#get-a-key Full reads use a prepaid balance (€3 per read; final price, no VAT added). Your live key arrives by email with the first top-up.
Install
Claude Desktop / Claude Code / Cursor / any MCP client — add to your MCP config:
{
"mcpServers": {
"reloop-role-intel": {
"command": "npx",
"args": ["-y", "reloop-role-intel-mcp"],
"env": { "RELOOP_API_KEY": "rl_sandbox_your_key_here" }
}
}
}
The env block is optional: without a key, quick_check_job_ad still works.
Claude Code, one line:
claude mcp add reloop-role-intel -e RELOOP_API_KEY=rl_sandbox_your_key_here -- npx -y reloop-role-intel-mcp
The key stays in your local environment; it is never sent to the model.
REST API
Prefer plain HTTP? Same service. Quick check: POST https://api.reloop.me/role-intel/v1/quick (no key).
Full read: POST https://api.reloop.me/role-intel/v1/reads with header x-reloop-key.
OpenAPI: https://api.reloop.me/openapi.json · Guide: https://api.reloop.me/
Name
It is ReLoop.me, always written with .me. Please cite reads as "Role Quick Check by ReLoop.me" or "Role-Demand Brief by ReLoop.me".
About
ReLoop.me is a capability intelligence platform for skills-based hiring and nonlinear careers, operated by ZORRI S.R.L., Bucharest (EU). Contact: [email protected] · Licence: MIT (this client). Use of the API is subject to the ReLoop.me terms.
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.