# Professor Fit MCP

> Use this tool when you need to find PhD advisors with matching research interests, solving the problem of manually searching for compatible professors. It takes research interests as input and outputs a ranked table of matching professors with confidence scores and sources. Ideal for PhD applicants seeking to identify potential advisors and streamline their application process.

Canonical page: https://skillsregistry.net/skills/wrennnn2-professorfitmcp  
JSON: https://api.skillsregistry.net/v1/skills/wrennnn2-professorfitmcp

## Description

Helps PhD applicants find matching professors by research interests, outputting a ranked table with confidence scores and sources.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tvytpttma7)
- **Repository:** <https://github.com/Wrennnn2/ProfessorFitMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wrennnn2-professorfitmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wrennnn2-professorfitmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wrennnn2-professorfitmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt