EngrAmo vs Firecrawl MCP Server
A side-by-side look at the EngrAmo 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.
Verdict: choose EngrAmo for education work over a hosted endpoint; 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?
Choose EngrAmo when
- You need dedicated capabilities in the Education domain.
- You prefer a remote HTTP/SSE transport.
- You have the keys it needs:
ENGRAMO_API_URL, ENGRAMO_API_TOKEN. - You want tools like
activate_learning_path, add_card_to_learning, add_catalog_to_learning.
Choose 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, FIRECRAWL_NO_SEARCH_FEEDBACK, FIRECRAWL_NO_ENDPOINT_FEEDBACK. - You want tools like
firecrawl_scrape, firecrawl_map, firecrawl_search.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Education | Search & Data Extraction |
| Quality signal | 72/100 · Great | 90/100 · Excellent |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Freemium |
| Required env vars | ENGRAMO_API_URLENGRAMO_API_TOKEN | FIRECRAWL_API_KEYHTTP_STREAMABLE_SERVERFIRECRAWL_NO_SEARCH_FEEDBACKFIRECRAWL_NO_ENDPOINT_FEEDBACK |
| Verified owner | Community listing | Verified |
| GitHub stars | 2 | 7,642 |
| Directory activity | 1 views 0 installs 0 upvotes | 13 views 0 installs 0 upvotes |
| Tools | 29 | 25 |
| Full listing | View EngrAmo | View Firecrawl MCP Server |
Tools & capabilities
EngrAmo tools 29
activate_learning_pathActivate a learning path so its catalogs are included in daily reviews.add_card_to_learningAdd a single card to the learning queue. It will appear in due reviews. A card_id that doesn't exist is reported as "Not found"; one that belongs to another user is reported as a permission error (the API may also report a missing id that way).add_catalog_to_learningAdd all cards in a catalog to the learning queue at once.add_catalog_to_learning_pathAdd a catalog to a learning path so its cards become part of the path. Idempotent: adding a catalog that is already in the path succeeds (no error). A missing path or catalog returns Not found.create_learning_pathCreate a new learning path. It starts empty — use add_catalog_to_learning_path (or pass `catalog_ids` here) to populate it with catalogs. Passing `catalog_ids` adds each one in its own request right after the path is created (non-atomic): the path is never rolled back if a catalog fails to add, and the response then includes `catalogs_added`/`catalogs_failed` so failed ids can be retried.deactivate_learning_pathDeactivate a learning path so its catalogs are excluded from daily reviews.delete_cardDelete a flashcard from a catalog. If the card has learning progress it is archived (it stays in get_due_cards/get_all_learning_cards and remains reviewable, but get_card/update_card then report it as Not found); otherwise hard-deleted. A card_id that doesn't exist, or a catalog_id the card is not in, is reported as "Not found" and nothing is deleted; a card that belongs to another user is reported as a permission error (the API may also report a missing id that way).delete_catalogDelete a catalog. It is archived (not hard-deleted) if it has cards, a cover image, or is in an active learning path; otherwise it is hard-deleted. There is no restore/unarchive tool. Cards also in another live catalog are unaffected (they only lose this membership); cards only in this catalog stay reachable by id via get_card (showing `catalogs: []`) only until backend cleanup archives them; they disappear from search and list_cards immediately, and once archived get_card/update_card report them as Not found (cards with learning progress still appear in get_due_cards). To keep them, move them to another catalog with update_card (catalog_ids) BEFORE deleting. Catalog quota decrements automatically.generate_cardCreate a single styled flashcard. Pass catalog_id to add to an existing catalog; omit for the default catalog. For language-learning cards: translate face.text yourself and set back.text before calling; build a word-level dictionary (word → translation map) yourself and set face.dictionary. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, never as flat fields, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. Use fontFamily='monospace' for code, bold=true for key terms, fontColor='#E74C3C' for warnings, '#27AE60' for correct answers. If no styling needed, omit rich_text entirely and just set text.generate_cardsAdd multiple flashcards to an EXISTING catalog in one batch. Use this instead of calling generate_card N times. WARNING: cards are created one at a time — if one fails, previously created cards in this batch are NOT rolled back. Use generate_catalog_with_cards for atomic creation. For language-learning cards: translate each face.text yourself and set back.text; build a word-level dictionary (word → translation map) yourself and set face.dictionary on each card. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. At most 200 cards per call; split larger sets into several calls.generate_catalog_with_cardsCreate a new catalog together with all its flashcards in one atomic call. More efficient than creating cards one by one. For language-learning cards: translate each face.text yourself and set back.text; build a word-level dictionary (word → translation map) yourself and set face.dictionary on each card. rich_text spans (IMPORTANT rules): ALWAYS set face.text and back.text to the full plain sentence — it is the ground truth. Each span's text must be a VERBATIM continuous segment of the original text — never add separator characters, markers, or ANY characters not present in the original sentence. Spans must partition face.text with no gaps; their concatenation must equal face.text exactly. The server validates this and discards richText if spans disagree with text. Styling goes under a nested `style` object on the span, e.g. {"text":"gracias.","style":{"bold":true,"fontColor":"#27AE60"}}. The returned catalog's cardCount reflects the cards created in this call. At most 200 cards per call; split larger sets into several calls.get_all_learning_cardsGet all cards currently in the learning queue (due and future), with pagination. Returns at most 50 items per call; pass the returned `cursor` back to fetch the next page (`cursor: null` means this is the last page). A returned card may be archived (deleted after learning started): it stays reviewable here, but get_card/update_card report it as Not found.- +17 more on the listing page
Firecrawl MCP Server tools 25
firecrawl_scrapeRetrieve 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_mapEnumerate 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_searchSearch 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_crawlStart 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_statusRetrieve 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_extractDeprecated 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_agentStart 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_statusRetrieve 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_interactOpen 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_stopStop the live interact session associated with a `scrapeId` and release its resources. Returns a success confirmation.firecrawl_parseParse 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_createCreate 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.
EngrAmo
{
"mcpServers": {
"engramo": {
"command": "npx",
"args": [
"-y",
"@engramo/mcp"
],
"env": {
"ENGRAMO_API_URL": "YOUR_ENGRAMO_API_URL_HERE",
"ENGRAMO_API_TOKEN": "YOUR_ENGRAMO_API_TOKEN_HERE"
}
}
}
}
Firecrawl MCP Server
{
"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",
"FIRECRAWL_NO_SEARCH_FEEDBACK": "YOUR_FIRECRAWL_NO_SEARCH_FEEDBACK_HERE",
"FIRECRAWL_NO_ENDPOINT_FEEDBACK": "YOUR_FIRECRAWL_NO_ENDPOINT_FEEDBACK_HERE"
}
}
}
}
Frequently asked questions
EngrAmo is categorized under Education and uses a remote HTTP/SSE transport. Firecrawl MCP Server belongs to Search & Data Extraction and uses a local stdio subprocess. Pick EngrAmo 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.
EngrAmo has no declared pricing — check the project's own site. 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 engramo and firecrawl-firecrawl-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, EngrAmo has a quality signal of 72/100 (Great) with 1 views, 0 installs and 2 GitHub stars. Firecrawl MCP Server has 90/100 (Excellent) with 13 views, 0 installs and 7,642 GitHub stars.