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Search, compare, and analyze U.S. college data — costs, earnings, programs, and outcomes.
36LimitedInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"cyanheads-college-scorecard-mcp-server": {
"command": "npx",
"args": [
"-y",
"@cyanheads/college-scorecard-mcp-server@0.4.0"
],
"env": {
"SCORECARD_API_KEY": "",
"MCP_LOG_LEVEL": "info"
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| SCORECARD_API_KEY | Yes | Required API key for the College Scorecard API. Free registration at https://api.data.gov/signup/. Rate limit: 1,000 requests/hour. |
| MCP_LOG_LEVEL | No | Sets the minimum log level for output (e.g., 'debug', 'info', 'warn'). |
| MCP_TRANSPORT_TYPE | No | Selects the HTTP transport. |
| SCORECARD_API_KEY | Yes | Required API key for the College Scorecard API. Free registration at https://api.data.gov/signup/. Rate limit: 1,000 requests/hour. |
| MCP_HTTP_HOST | No | The hostname for the HTTP server. |
| MCP_HTTP_PORT | No | The port to run the HTTP server on. |
| MCP_HTTP_ENDPOINT_PATH | No | The endpoint path for the MCP server. |
| MCP_AUTH_MODE | No | Authentication mode to use: 'none', 'jwt', or 'oauth'. |
| MCP_LOG_LEVEL | No | Sets the minimum log level for output (e.g., 'debug', 'info', 'warn'). |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Search, compare, and analyze U.S. college data — costs, earnings, programs, and outcomes — via MCP. STDIO or Streamable HTTP.
FAQ
- What is college-scorecard-mcp-server?
- Search, compare, and analyze U.S. college data — costs, earnings, programs, and outcomes.
- How do I install college-scorecard-mcp-server?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is college-scorecard-mcp-server official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 36 (Limited). The formula is published on the methodology page.
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