
GetABrain MCP server
io.github.Guitarmaniac24/getabrain·v0.2.1Real human judgment as agent tools — ask a question, get a structured human answer back.
0 stars46 downloads/wk
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GetABrain tools (1)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
rate_responseRate a single worker's response 1-5 to feed the worker quality/reputation system, optionally with free-text feedback. Use after reviewing a response from get_responses/wait_for_responses, to reward good answers and flag poor ones -- this affects the worker's quality score and future eligibility (e.g. queries with min_worker_quality set) and can trigger rewards/suspension server-side. Side effect:
Public scan report
scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it
- Code scan2 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 14 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How GetABrain compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 68% of 4,460 AI and agents servers
- Tools
- 1
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Downloads a week
- 46
- more than 38% of 1,538 AI and agents servers with a package
What its tools let an agent do: 1 read
Install GetABrain in Claude Code, Cursor or VS Code
Runs npx -y @getabrain/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add getabrain -- npx -y @getabrain/mcp-server
What the publisher says
From the GetABrain repository's README, as published. We do not edit it. Read it on GitHub
@getabrain/mcp-server
MCP server for GetABrain.ai — give your AI agent real human judgment as native tools.
Use with Claude Desktop / Cursor
Add to your MCP client config (e.g. claudedesktopconfig.json):
{
"mcpServers": {
"getabrain": {
"command": "npx",
"args": ["-y", "@getabrain/mcp-server"],
"env": {
"GETABRAIN_API_KEY": "gab_k_…",
"GETABRAIN_API_SECRET": "gab_s_…"
}
}
}
}Get your API key by signing up at https://getabrain.ai.
Remote (hosted) MCP server -- no install
Prefer not to run anything locally? GetABrain also hosts this same server over Streamable HTTP at https://www.getabrain.ai/api/mcp. Point any MCP client that supports remote servers at that URL and pass your key pair as headers instead of env vars:
{
"mcpServers": {
"getabrain": {
"url": "https://www.getabrain.ai/api/mcp",
"headers": {
"X-API-Key": "gab_k_…",
"X-API-Secret": "gab_s_…"
}
}
}
}Same 7 tools, same schemas, same test-mode support -- see docs/deploy/remote-mcp.md in this repo for details (Smithery-style clients, auth requirements, etc).
Test mode
Test mode is a flag on the key, not a different key format. When you mint an API key — via POST /api/v1/requestor/keys with {"mode":"test"}, or by choosing "test" in the dashboard — you get back a completely normal gabk… / gabs… key pair. There's no test in the string; the test-ness lives in the database as an is_test flag on that key. No funding or card required.
Point GETABRAINAPIKEY / GETABRAINAPISECRET at a test-mode key and the server behaves identically, except:
wait/poll → rate) can be built and exercised end-to-end before any real human worker or real money is involved.
- submitquery never touches your balance — no charge, no insufficientbalance errors.
- Responses come back synthetic and are always marked simulated: true, so your pipeline (submit →
- get_balance reports mode: "test" so the agent/human can tell at a glance which environment it's in.
When you're ready to go live: mint a live-mode key (same call, {"mode":"live"} or the dashboard default), fund the account with createtopuplink (works with either key type — a test-mode agent can generate the link, a human completes checkout to add real funds), and swap the env vars. getbalance then reports mode: "live", and submitquery starts spending real balance and dispatching to real paid workers.
Tools
(with a setup link + hint when it's off and would otherwise stall a live account at zero balance).
- getbalance — read-only: prepaid balance (cents), mode ("test"/"live"), and autoreload_enabled
pay — the agent cannot complete payment itself.
- createtopuplink — mints a Stripe Checkout URL to add funds (min $5); a human opens it in a browser to
image/video/audio review, voice/video/photo capture, …). Returns a query_id. Spends balance on a live key; free and simulated: true on a test key.
- submit_query — ask real humans a question (16 query types: A/B test, rating, ranking, sentiment, yes/no,
responses once enough arrive, or pending — call again to keep waiting. Use this instead of get_responses when you want the tool call itself to wait.
- get_responses — one-shot, read-only: current status + whatever responses exist right now, no waiting.
- waitforresponses — bounded polling (up to maxwaitseconds, default/max 50s); returns ready with
- list_queries — read-only: your recent queries, optionally filtered by status.
- rateresponse — rate a worker's answer 1–5 (optional feedbacktext); feeds the worker quality system.
Example agent flow
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
GetABrain: common questions
- Is GetABrain MCP server safe?
- Mostly: it is graded B (83/100). Read the GetABrain safety report
- How do I install GetABrain?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does GetABrain need an API key?
- Yes. The registry entry asks for
GETABRAIN_API_KEY,GETABRAIN_API_SECRET. - Is GetABrain maintained?
- The last commit was 53 days ago (2026-09-12). The latest release is v0.2.1.
- What can I use instead of GetABrain?
- Servers from other publishers that do the same job: Agent-Native Plan MCP server, CHAP Coordinator MCP server and Charlotte MCP server.
- How does GetABrain compare with other AI and agents MCP servers?
- safety score 83/100 (higher than 68% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to GetABrain
Same job from other publishers: the closest match first, then the best rated.
- Agent-Native PlanStructured visual plans and PR recaps with diagrams, prototypes, annotations, and sharingnot reviewedEstablishedA
- CHAP CoordinatorAuditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.not reviewedEstablishedA
- CharlotteRenders web pages into structured, agent-readable representations using headless Chromium.not reviewedEstablishedA
Tw Legal RagCitation-guarded retrieval over 22M Taiwan court judgments and administrative interpretationsnot reviewedEstablishedA