College Scorecard MCP Server vs Hindsight

A side-by-side look at the College Scorecard MCP Server and Hindsight MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

College Scorecard MCP Server logoCollege Scorecard MCP ServerEducation · Local subprocess (stdio)Search, compare, and analyze U.S. college data — costs, earnings, programs, and outcomes.57GoodAuth: api key requiredHindsight logoHindsightKnowledge & Memory · Local subprocess (stdio)Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory57GoodAuth: api key required

Verdict: choose College Scorecard MCP Server for education work as a local process; choose Hindsight for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

College Scorecard MCP Server logoChoose College Scorecard MCP Server when

  • You need dedicated capabilities in the Education domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: SCORECARD_API_KEY.
  • You want tools like scorecard_search_schools, scorecard_get_school, scorecard_compare_schools.
Explore College Scorecard MCP Server

Hindsight logoChoose Hindsight when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: HINDSIGHT_API_LLM_API_KEY, HINDSIGHT_API_LLM_PROVIDER, HINDSIGHT_DB_PASSWORD.
Explore Hindsight

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCollege Scorecard MCP Server logoCollege Scorecard MCP ServerHindsight logoHindsight
CategoryEducationKnowledge & Memory
Quality signal57/100 · Good57/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredAPI key required
PricingNot declaredFree
Required env varsSCORECARD_API_KEYHINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars153,003
Directory activity 2 views 0 installs 0 upvotes 14 views 0 installs 0 upvotes
Tools9Not listed

Tools & capabilities

College Scorecard MCP Server tools 9

  • scorecard_search_schoolsSearch institutions by name, location, type, size, acceptance rate, and single-sex flags; sort by supported API fields. Returns core identity and cost metrics.
  • scorecard_get_schoolFull institutional profiles — costs, admissions, outcomes, aid, demographics, single-sex flags, and completion rates.
  • scorecard_compare_schoolsNormalized side-by-side comparison of 2–5 schools on a named topic. Returns metric values, ordinal ranks, and a comparison summary.
  • scorecard_get_programsField-of-study programs at one school: median 1-year earnings, cumulative Stafford/Grad PLUS debt, and IPEDS awards in the two pooled debt-cohort years.
  • scorecard_search_programsFind programs by CIP and credential or keyword, retain degree identity, and rank earnings within each fetched school page.
  • scorecard_get_earningsEarnings of federally aided undergraduate entrants working and not enrolled, regardless of completion: 6/8/10-year medians, 6/10-year P25/P75, and non-male/male 6-year medians.
  • scorecard_value_analysisWorkflow tool: parallel-fetches cost, debt, repayment, and earnings data, then computes ROI metrics — debt-to-earnings ratio and net price to earnings ratio.
  • scorecard_lookup_cipSearch 186 curated NCES CIP 2020 four-digit groups by code, keyword, or related program name. Served offline.
  • scorecard_list_fieldsSearch the Scorecard field catalog by keyword. Returns matching field paths, descriptions, data types, and sort support. Use before passing custom `fields` parameters.

Hindsight tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

College Scorecard MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "college-scorecard-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/college-scorecard-mcp-server"
      ],
      "env": {
        "SCORECARD_API_KEY": "YOUR_SCORECARD_API_KEY_HERE"
      }
    }
  }
}

Hindsight

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "vectorize-io-hindsight": {
      "command": "npx",
      "args": [
        "-y",
        "@vectorize-io/hindsight-coding-agents"
      ],
      "env": {
        "HINDSIGHT_API_LLM_API_KEY": "YOUR_HINDSIGHT_API_LLM_API_KEY_HERE",
        "HINDSIGHT_API_LLM_PROVIDER": "YOUR_HINDSIGHT_API_LLM_PROVIDER_HERE",
        "HINDSIGHT_DB_PASSWORD": "YOUR_HINDSIGHT_DB_PASSWORD_HERE"
      }
    }
  }
}

Frequently asked questions

College Scorecard MCP Server is categorized under Education and uses a local stdio subprocess. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick College Scorecard MCP Server for education work and Hindsight for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

College Scorecard MCP Server has no declared pricing — check the project's own site. Auth: api key required. Hindsight is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add college-scorecard-mcp-server and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, College Scorecard MCP Server has a quality signal of 57/100 (Good) with 2 views, 0 installs and 1 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 53,003 GitHub stars.