College Scorecard MCP Server vs Firecrawl MCP Server

A side-by-side look at the College Scorecard MCP Server and Firecrawl MCP Server 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 requiredFirecrawl MCP Server logoFirecrawl MCP ServerSearch & Data Extraction · Local subprocess (stdio)Official Firecrawl server to search the web and scrape, crawl, map, and extract structured data from any site for LLMs. Handles JS-rendered pages, PDFs, and batch jobs; hosted remote MCP with OAuth or self-host.90ExcellentAuth: api key required

Verdict: choose College Scorecard MCP Server for education work as a local process; choose Firecrawl MCP Server for search & data extraction 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

Firecrawl MCP Server logoChoose Firecrawl MCP Server when

  • You need dedicated capabilities in the Search & Data Extraction domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: FIRECRAWL_API_KEY, HTTP_STREAMABLE_SERVER.
  • You want tools like firecrawl_scrape, firecrawl_map, firecrawl_search.
Explore Firecrawl MCP Server

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCollege Scorecard MCP Server logoCollege Scorecard MCP ServerFirecrawl MCP Server logoFirecrawl MCP Server
CategoryEducationSearch & Data Extraction
Quality signal57/100 · Good90/100 · Excellent
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredAPI key required
PricingNot declaredFreemium
Required env varsSCORECARD_API_KEYFIRECRAWL_API_KEYHTTP_STREAMABLE_SERVER
Verified ownerCommunity listing Verified
GitHub stars17,673
Directory activity 2 views 0 installs 0 upvotes 14 views 0 installs 0 upvotes
Tools925

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.

Firecrawl MCP Server tools 25

  • firecrawl_scrape Retrieve and extract content from one supplied URL through Firecrawl. Use this when the request identifies a page and needs its content or defined fields. It can return markdown, HTML, links, screenshots, branding data, a targeted answer, or JSON matching a supplied schema; JSON is useful when the requested result has defined fields, while markdown preserves readable page content. This tool operates on a known page. For a set of pages use `firecrawl_crawl`, and to discover page URLs use `firecrawl_map` or `firecrawl_search`. Options include JavaScript render delay, cache age, main-content filtering, PII redaction, and lockdown cache-only retrieval. Browser actions may change the live page when interactive actions are enabled. Firecrawl may reuse recently indexed content instead of refetching the page, and the reuse window varies by domain. Set `maxAge: 0` to force a live fetch, or a smaller `maxAge` to bound how stale reused content may be. A successful response does not by itself confirm that the state it describes is still current. Returns the selected content formats and page metadata.
  • firecrawl_map Enumerate URLs indexed under one website through Firecrawl without fetching each page's content. Use this when the request asks for a site's URL inventory, when several relevant pages must be located, or when the desired page URL is unknown. An optional `search` term narrows the URL list, while sitemap, subdomain, query-parameter, and result-limit options control coverage. Returns matching URLs rather than page bodies. Retrieve one page with `firecrawl_scrape`; collect content across multiple pages with `firecrawl_crawl`.
  • firecrawl_search Search web, news, or image sources and return ranked results. Operators include quoted phrases, `-term`, `site:host`, `inurl:term`, `intitle:term`, and `related:host`; the set is non-exhaustive. `includeDomains` and `excludeDomains` are mutually exclusive hostname filters; categories limit results to GitHub, research, PDF, or developer sources. For a programming question, add `categories: ["developer"]`. It searches an index of GitHub issues, merged pull requests, repository READMEs, and curated documentation sites, and returns the hits in `data.developer` beside the web results. `categories: ["research"]` restricts these web results to research-affiliated websites and returns page snippets. The `firecrawl_research_*` tools are a separate surface that searches paper abstracts and full text across biomedical (PubMed, bioRxiv, medRxiv) and arXiv literature. `scrapeOptions` can attach extracted page content; pages fetched this way use a fixed reuse window and ignore `maxAge`, so use `firecrawl_scrape` when a live fetch is required. Returns source-type result groups and usage metadata. Authenticated responses can include an `id` for optional search feedback.
  • firecrawl_crawl Start a multi-page crawl at a website URL, poll it to a terminal state, and return the final status and collected data. Scope can be bounded with include/exclude paths, depth, page limit, subdomain/external-link controls, sitemap handling, delay, and scrape options. Crawl results can be large; use conservative limits when full-site coverage is unnecessary. Webhooks and interactive scrape actions are unavailable in safe mode. Returns the crawl ID, status, and page data.
  • firecrawl_check_crawl_status Retrieve the current status, progress, and available results for an existing crawl ID. This only reads Firecrawl job state and does not start or modify the crawl.
  • firecrawl_extract Deprecated compatibility entry point. Use firecrawl_scrape once per known URL with formats: ["json"] and jsonOptions containing the prompt and schema. Use firecrawl_search or firecrawl_agent before Scrape when URLs are not known.
  • firecrawl_agent Start an asynchronous web research job from a prompt, optional seed URLs, and an optional JSON schema. Use this for a requested synthesis across multiple sources when the task can wait for asynchronous completion. The agent can search, navigate, read pages, and assemble a structured result. This call returns only a job ID, not the research result. Read the job with `firecrawl_agent_status` until it reaches `completed` or `failed`; research commonly takes several minutes. If the job cannot finish within the task's available time, `firecrawl_search` and `firecrawl_scrape` can gather evidence synchronously.
  • firecrawl_agent_status Retrieve progress or final results for a `firecrawl_agent` job ID. A `processing` response is non-terminal and does not contain the final research result. Check again after 15–30 seconds until the status is `completed` or `failed`; complex jobs can take several minutes. If the job cannot finish within the task's available time, use `firecrawl_search` and `firecrawl_scrape` to complete the requested output. Returns job status, progress information, and result data when completed.
  • firecrawl_interact Open or reuse a live browser session to navigate a page, click controls, fill fields, or run browser code. Provide either `url` or `scrapeId`, and either a natural-language `prompt` or executable `code`; code can run as Bash, Python, or Node with a bounded timeout. This acts on the live site, so actions such as form submission can create persistent external side effects. Returns execution output, stdout/stderr, exit status, and session viewing URLs.
  • firecrawl_interact_stop Stop the live interact session associated with a `scrapeId` and release its resources. Returns a success confirmation.
  • firecrawl_parse Parse one supported document into markdown, HTML, links, summary, targeted answers, or JSON matching a schema. Supported inputs include common HTML, PDF, Word, RTF, OpenDocument, and spreadsheet files; PDF parsing can be bounded with `pdfOptions.maxPages`. Local MCP reads `filePath` from the server filesystem. Hosted MCP uses two calls: first provide `filePath` to receive upload instructions, upload locally, then call again with the returned `uploadRef`; do not send both fields together. Remote web URLs belong in `firecrawl_scrape`. Set `redactPII` to request redaction of personally identifiable information in the returned content. `zeroDataRetention` requires an eligible authenticated account; omit it for anonymous keyless use. Returns upload instructions for hosted phase one or parsed document content for the final call.
  • firecrawl_monitor_create Create a recurring scrape, crawl, or search monitor that compares each check with its retained predecessor. The simple form accepts `page`/`pages` or `queries` plus a plain-language `goal`; the advanced `body` form controls targets, schedule, change-tracking formats, judging, retention, webhook, and notifications. In the simple form, a `goal` is required. If `queries` contains one or more non-empty values and is supplied with `page`/`pages`, `queries` create the search target and page targets are ignored. A monitor schedules future network checks and can send configured email or webhook notifications. Returns the created monitor.
  • +13 more on 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"
      }
    }
  }
}

Firecrawl MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "firecrawl-firecrawl-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "firecrawl-mcp"
      ],
      "env": {
        "FIRECRAWL_API_KEY": "YOUR_FIRECRAWL_API_KEY_HERE",
        "HTTP_STREAMABLE_SERVER": "YOUR_HTTP_STREAMABLE_SERVER_HERE"
      }
    }
  }
}

Frequently asked questions

College Scorecard MCP Server is categorized under Education and uses a local stdio subprocess. Firecrawl MCP Server belongs to Search & Data Extraction and uses a local stdio subprocess. Pick College Scorecard MCP Server for education work and Firecrawl MCP Server for search & data extraction.

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. Firecrawl MCP Server is listed as freemium — a free tier with paid plans. 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 firecrawl-firecrawl-mcp-server 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. Firecrawl MCP Server has 90/100 (Excellent) with 14 views, 0 installs and 7,673 GitHub stars.