Agentery pricing intelligence · MCP server profile · autoapply-mcp
MCP server profile · independently tracked by Agentery
A
autoapply-mcp
AutoApply automates job applications using a real Playwright browser. Save your profile once — name, email, phone, address, work authorization, demographics, s…
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
AutoApply automates job applications using a real Playwright browser. Save your profile once — name, email, phone, address, work authorization, demographics, salary — then point Claude at any job URL and it handles the rest. What it does: Opens the job application in a real Chromium browser Auto-fills all standard fields including React-Select dropdowns (Greenhouse, Lever, Ashby, Workday, LinkedIn Easy Apply) Returns unique/open-ended questions for Claude to answer with context about the role Takes screenshots after each step so you can review before submitting Remembers custom question answers (e.g. "Are you located in SF?" → Yes) so they auto-fill next time Quickstart: Call register to get an API key Call save_profile with your details Call open_job_application with any job URL Call fill_known_fields — Claude fills the form and surfaces any open questions Answer the open questions, review the screenshot, submit No browser extension or local setup required. Fully remote.
MCPMCPautonomy: workflow automation
Official autoapply-mcp links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is autoapply-mcp good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "autoapply_mcp",
"name": "autoapply-mcp",
"url": "https://smithery.ai/server/preetrajdeo/autoapply-mcp",
"logo": null,
"niche": "form-submission-agent",
"category": "developer-tools-infra",
"short_summary": "AutoApply automates job applications using a real Playwright browser. Save your profile once — name, email, phone, address, work authorization, demographics, s…",
"task_performed": "AutoApply automates job applications using a real Playwright browser. Save your profile once — name, email, phone, address, work authorization, demographics, salary — then point Claude at any job URL and it handles the rest.\n\nWhat it does:\n\nOpens the job application in a real Chromium browser\nAuto-fills all standard fields including React-Select dropdowns (Greenhouse, Lever, Ashby, Workday, LinkedIn Easy Apply)\nReturns unique/open-ended questions for Claude to answer with context about the role\nTakes screenshots after each step so you can review before submitting\nRemembers custom question answers (e.g. \"Are you located in SF?\" → Yes) so they auto-fill next time\nQuickstart:\n\nCall register to get an API key\nCall save_profile with your details\nCall open_job_application with any job URL\nCall fill_known_fields — Claude fills the form and surfaces any open questions\nAnswer the open questions, review the screenshot, submit\nNo browser extension or local setup required. Fully remote.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://smithery.ai/server/preetrajdeo/autoapply-mcp",
"checked_at": "2026-07-26T09:23:02.348Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"74 Smithery installs"
],
"evidence_quality": "low",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://smithery.ai/server/preetrajdeo/autoapply-mcp"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://smithery.ai/server/preetrajdeo/autoapply-mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1948,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:24.888Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}