Firecrawl MCP Server vs Vaaya

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

Firecrawl 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 requiredVaaya logoVaayaSearch & Data Extraction · Local subprocess (stdio)Pay-per-call agent superpowers: media/video gen, product demos, research, GTM, scraping, compute.60GoodAuth: not declared

Verdict: choose Firecrawl MCP Server for search & data extraction work as a local process; choose Vaaya 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?

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

Vaaya logoChoose Vaaya when

  • You need dedicated capabilities in the Search & Data Extraction domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like stocks, jobs, vaaya_test_connection.
Explore Vaaya

Feature & specification comparison

Rows where the two servers differ are marked.

SpecFirecrawl MCP Server logoFirecrawl MCP ServerVaaya logoVaaya
CategorySearch & Data ExtractionSearch & Data Extraction
Quality signal90/100 · Excellent60/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredNot declared
PricingFreemiumNot declared
Required env varsFIRECRAWL_API_KEYHTTP_STREAMABLE_SERVERNone listed
Verified owner VerifiedCommunity listing
GitHub stars7,67344
Directory activity 14 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools2516

Tools & capabilities

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

Vaaya tools 16

  • stocksBuy tokenized stocks on Base using only the user’s prepaid Vaaya balance, never the welcome credit or the GitHub credit line. Commands: list (supported token tickers), portfolio (owned stocks and buying power), quote {symbol, amount_cents}, buy {symbol, amount_cents, idempotency_key}, order {order_id}. When the user asks to buy a specified stock and dollar amount, resolve its supported token ticker (Apple = AAPLc) and call buy directly; no activation or additional approval step. amount_cents is the maximum total prepaid spend including provider fees. Use a unique idempotency_key for each intended purchase and reuse it on retries. Query order until confirmed/failed; queued/submitted is not success. Do not increase the user’s spend or retry a failed purchase as a new order without instruction. Ask only for missing or ambiguous purchase details. If prepaid_required or buyingPowerCents is insufficient, offer a $14/$40/$60 prepaid pack: POST /api/v1/topup with pack_cents 1400/4000/6000 and the same account bearer token returns a Stripe Checkout url. With authorization for that pack amount, the user’s Instinct agent can pay the URL in its browser using the card saved in Instinct; otherwise give the URL to the user. Vaaya cannot charge Instinct’s card directly. Do not include card details or tokens in a handoff. Check GET /api/v1/wallet wallet.prepaid_cents, then portfolio buyingPowerCents before resuming the same purchase key. A share purchase alone does not authorize a top-up. Stop on needs_review as well as failed.
  • jobsJobs: a marketplace where humans hire humans, and each side's agent handles the steps. Call with { action, ...params }. Actions: list, get, mine, draft, update_draft, cancel, accept, submit_proof, record_verdict, request_release, dispute. A poster's agent drafts a job (budget_usd, definition_of_done, required_evidence) and gives its human the review_url; the HUMAN publishes, which holds the budget from their wallet. A doer's agent accepts an open job for its human and later submits that human's proof (summary + links). The poster's agent evaluates the proof against the definition of done with record_verdict. Only the poster, in their own browser on the job page, can release payment; no action here moves money to anyone. Never claim the agent did the work.
  • vaaya_test_connectionRound-trip ping that confirms the agent → Vaaya connection and whether the user is linked. Returns { ok:true, userId, scope, version, server_time, first_call } when linked — SHOW `first_call.show_to_user` to the user as written, it is the same set of starter examples the website and installer give them. Returns { ok:false, needs_auth:true, verification_uri, signup_uri, instructions } when not linked yet — relay that to the user so they can connect (and sign up if new).
  • vaaya_onboardPublic onboarding hint for an agent whose user isn't linked to Vaaya yet. Returns where the human should go to connect (and sign up if new). Call this when vaaya_test_connection reports needs_auth, or any tool returns unauthorized, then relay the instructions to the user. If the user IS already linked it returns `first_call` instead — show `first_call.show_to_user` as written so they know what to try.
  • vaaya_accountShow which Vaaya account this connection is linked to and its money state. Returns { email, name, user_id, connected_client, scopes, balance_cents, credit_line, available_cents, credits_url, switch_account }. Call it whenever the user asks "which account is connected", "what's my balance", "how much credit is left", or "how do I switch accounts" — and relay the answer. `credit_line` is the credit the account can spend past its prepaid balance (the welcome credit plus any GitHub-score line); `available_cents` = balance + active line, the number calls are gated on.
  • vaaya_logoutDisconnect this client from the current Vaaya account: revokes this connection's authorization server-side, so every later call fails with 401 until the user reconnects. Call it when the user asks to log out, sign out, disconnect, or switch Vaaya accounts — then relay the returned switch steps VERBATIM (the browser sign-out step is what actually enables switching accounts).
  • docsVaaya's deep reference, FREE and instant. Pass `topic` to get the full playbook for a capability area — exact services, actions, params, prices, model lists, and gotchas — the same reference files the vaaya skill ships. Topics: 'setup' (connecting an agent, a chat app, or an unattended process), 'tools' (exact params of every Vaaya tool, GTM suite included), 'media' (image/video/audio models + product-demo videos), 'gtm' (leads, enrichment, outreach, signals, email), 'research' (OneSearch lanes, deep research, company/market research playbooks), 'data' (scraping, people, social platforms, public records, onchain, compliance), 'compute' (sandboxes, browser automation, files, memory, workers, phone calls, llm). Read the matching topic BEFORE non-trivial work in that area — it is cheaper than a wrong call. Never bills; safe to call any time.
  • consultVaaya's consultant. Describe ANY external capability you or the user might want — generate an image/video, search or scrape the web, run code in a sandbox, send/receive email, enrich a contact — and it helps figure out the best way, teaching the user what Vaaya can do. It is CONVERSATIONAL and remembers prior turns. It returns: mode='converse' (a reply to RELAY to the user verbatim — questions, options, ideas; get the user's response and call consult again with it, so the conversation continues), mode='call' (an ordered list of calls to run via `use`, with a message explaining the preferred choice + alternatives + why; multi-step results may contain placeholders like '<from step 1: sandbox_id>' — run earlier steps first and substitute), or mode='unsupported'. Every reply includes `suggestions` (2-3 things to do next) — surface these to the user. AFTER you run a `call` result's calls via `use`, call consult ONE more time with a short note on the outcome (what was produced / any failures) — it returns result-aware, Vaaya-grounded next steps to offer the user (the `call` result's `after_running` field reminds you). Call consult whenever you hit a capability gap or the user wants to know what's possible. It does NOT execute or bill — you run returned calls via `use`. ALWAYS show the user consult's `message` and `suggestions` and let them steer.
  • useExecute a single external call, and bill on success. Used for any external capability (image/video/audio generation, web search, scraping, email, document parsing, code sandbox, browser automation, embeddings, etc.). The server validates params against a registered schema and proxies to the upstream — you never pass URLs or API keys. Call it directly when you know the exact (service, action, params, max_cost_cents) — from the vaaya skill's catalog or a call you've made before; when unsure, get the call from `consult` rather than guessing.
  • resultFetch the status + output of an async job started by `use` (e.g. a video render). Pass the `job_id` that `use` returned with `{ async: true }`. Returns `{ status, result?, progress?, charged_cents }`: `running` (still working — when the job reports it, `progress` carries `{ phase, percent, rendered_frames, total_frames, eta_sec }` and `hint` is a one-line summary like "rendering 42% (380/900 frames, ~120s left)", so you can tell real progress from a hang; wait a bit and call again), `succeeded` (`result` holds the output, e.g. the video URL; the call is charged now), or `failed`/`cancelled` (no charge; on `failed`, read `error` AND `hint` — `hint` carries the service's usage notes, which usually explain how to fix the call). Safe to call repeatedly — it never starts new work or double-charges. ALWAYS use this to retrieve an async result instead of re-running `use` (re-running starts a new paid job).
  • buyFind and buy products, tickets, bookings and subscriptions for the user at supported stores. Start with `search` { query } to find the item and merchant page using Vaaya OneSearch (5¢ per search); the user can describe what they need without supplying a link. Before checkout, use `setup` to check payment and shipping readiness; resolve missing setup once. Persistent merchant accounts are managed at /store-connections. Use store_connection_id to select an account. Passwords and verification codes belong only on the merchant page, never in chat. PRODUCT DISCOVERY: if the user describes what to buy but provides no URL, use `search` { query: <product, variant, budget and preferred merchant if specified> } to locate it under the existing tool spending permissions; do not ask them to paste a link or say search for it first. Search is not purchase authorization. Respect search fees and spending limits; if search is unavailable, explain the actual error and then ask for a link. Verify the merchant, item and variant from the result; ask only when matches are ambiguous or details cannot be verified. Never invent a product URL, final total or delivery date from a search snippet. THE SEAMLESS PATH: once the user has told you what to buy and you have the exact item, merchant page URL and total, call `purchase` { item, merchant, url, total_cents, confirmed: true, confirmation: <the user's own words> } — it approves from their message (under the chat limit), starts buying in the user's cloud browser in the background and returns `message` ("Hold on — buying it now."): RELAY IT, then poll `status` { approval_id } every ~10 seconds and relay its `message` when the status is completed ("Done — …"), requires_action (read action_required.reason for the exact blocker) or failed. If `status` says the user's shipping address is missing, ask for it and call `address` { name, line1, line2?, city, state?, postal_code, country, phone? } then `checkout` { approval_id } to resume; if merchant authentication is pending, relay handoff_url and handoff_deadline. The durable worker checks authentication and resumes the same authorized purchase automatically. Do not ask the user to send done or submit codes in chat. If the handoff expires, relay the recovery page; it does not clear order or payment uncertainty. Other sub-commands: `search` { query } (protocol merchants plus a real web search; the web half bills 5¢), `propose` { item, merchant, total_cents, url?, notes?, confirmed?, confirmation? } (creates an approval; without `confirmed` it returns an approval link the user opens — show its `message` VERBATIM), `checkout` { approval_id, params? } (buys an approved purchase; for a browser merchant it runs in the background like `purchase`). Use the user's existing authorization of the exact item and total; do not ask them to confirm twice. Ask only for missing purchase details. Nothing is ever bought without the user's yes: `checkout` refuses anything else. Use `reconcile` { approval_id } after an uncertain submission: it only inspects the existing checkout and never submits payment. For an unavailable checkout or inconclusive reconciliation, relay recovery_url and recovery_instructions from status. The user can resolve the attempt on its approval page only after checking both merchant orders and payment records. A chat statement alone does not clear the lock, and expiration does not clear it. If status or replay says purchase_resolved, never reuse checkout on that approval. When the user requests another attempt, call propose with retry_of set to that resolved ID, current item/price and no confirmed flag, then show the new approval link. Check setup browser_allowance first; a daily_browser_limit requires waiting until resets_at, not reconnecting or changing request text. For a handoff, return action_required.url and the deadline. The user fixes 2FA, CAPTCHA, payment, address or booking issues on that authenticated page and uses Return control to Vaaya; do not call checkout to bypass a pending handoff. Status polling never creates a replacement. Resume only the same approval_id; do not recreate a purchase to bypass an unresolved attempt. `charged_cents` is the Vaaya tool fee, NOT a merchant charge; read merchant_payment separately, and never infer a hold or capture from Link approval. Never open `browserbase` sessions yourself to buy something — only `buy` can.
  • sessionRun a command or code in an open E2B sandbox session (started by `use` with action `create_session`, which returns a `session_id`). Pass `session_id` plus either `command` (a shell command) or `code` (+ optional `language`: python/javascript/bash). Returns stdout/stderr/exit_code (or the code result). The sandbox stays alive — and billed per second of uptime — until you `close` it; re-running reuses the SAME box, so filesystem + process state persist between calls. ALWAYS `close` when done.
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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.

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"
      }
    }
  }
}

Vaaya

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "vaaya-2": {
      "command": "npx",
      "args": [
        "-y",
        "@vaaya/mcp"
      ]
    }
  }
}

Frequently asked questions

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

Firecrawl MCP Server is listed as freemium — a free tier with paid plans. Auth: api key required. Vaaya has no declared pricing — check the project's own site. 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 firecrawl-firecrawl-mcp-server and vaaya-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Firecrawl MCP Server has a quality signal of 90/100 (Excellent) with 14 views, 0 installs and 7,673 GitHub stars. Vaaya has 60/100 (Good) with 1 views, 0 installs and 44 GitHub stars.