Action1 MCP by usefulapi
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
Description from the maker (original English)
Security guardrails for AI agent payments
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Pick the AI app you use, then copy the settings.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account Rumblingb, which owns the repo
We have not read this repo from GitHub yet
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Action1 MCP by usefulapi, QNSQY, EchelonGraph CVE & Exposure
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
Linux only, local: post-quantum CBOM scan, encrypt to public keys, verify. Takes no secrets
CVE, KEV, EPSS, SBOM and advisory lookups; per-CVE exposure from Shodan data (© Shodan). Keyless.
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A watchdog MCP that validates every agent payment request against all 9 security checks before it executes — catching policy violations, replay attacks, amount tampering, revoked tokens, and budget overruns at call time.
merchant_id:amount binding, catching forged or tampered tokenscurrent_spend + amount > budget_cap and returns exact remaining budgetRequires: Python 3.10+, mcp package.
pip install mcp
Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "agentpay-sentinel": { "command": "python", "args": ["/absolute/path/to/agentpay-sentinel-mcp/server.py"] } } }
Cursor — add to .cursor/mcp.json in your project root:
{
"mcpServers": { "agentpay-sentinel": { "command": "python", "args": ["/absolute/path/to/agentpay-sentinel-mcp/server.py"] } } }
| Tool | Description | Key params |
|---|---|---|
sentinel_audit_transaction | Run all 9 security checks; returns PASS/BLOCKED + SHA-256 audit hash | token_hash, merchant_id, amount, current_spend, budget_cap (required) · nonce, token_id, approved_amount (enable checks 7–9) |
sentinel_revoke_token | Permanently revoke a token — all future audits with this token_id will BLOCK | token_id, reason |
sentinel_clear_nonce | Remove a nonce from the replay store (for legitimate refunds/retries only) | nonce |
sentinel_verify_chain | Verify a sequence of audit hashes forms an unbroken chain | audit_hashes, expected_chain_root |
sentinel_threat_model | Simulate any named attack vector; returns severity, defence, and detection | attack_vector, context |
sentinel_audit_transaction| # | Check | What it catches | Param |
|---|---|---|---|
| 1 | Token integrity | SHA-256 hash mismatch — forged tokens | token_hash |
| 2 | Budget enforcement | Spend exceeding cap | current_spend, budget_cap |
| 3 | Merchant allowlist | Payment to unlisted merchant | allowlist |
| 4 | Category restriction | Purchase in blocked category | blocked_categories |
| 5 | Expiry check | Expired token | expires_at |
| 6 | Rate limit | Too many calls per minute | calls_this_minute |
| 7 | Amount mismatch | Agent changed amount after human approved | approved_amount |
| 8 | Replay attack | Same nonce used twice (file-backed store) | nonce |
| 9 | Revocation evasion | Agent using a revoked token | token_id |
Checks 7–9 activate when the corresponding param is passed. State persists to ~/.sentinel/.
sentinel_threat_modeltoken_forgery · budget_overflow · replay_attack · amount_mismatch · revocation_evasion · merchant_spoof · expiry_bypass
sentinel_audit_transaction returns an advisory verdict — it does not intercept network traffic. Your agent is responsible for calling it before executing a payment and halting on BLOCKED. The audit hash returned is a SHA-256 digest of all check results, giving you a tamper-evident record of each pre-flight decision.
| Plan | Price | Included |
|---|---|---|
| Free | $0 | 50 audits/month |
| Pro | $19/month | Unlimited audits + threat model simulations |
MIT — AgentPay Labs. Source: github.com/Rumblingb/agentpay-sentinel-mcp