agents

Pay-per-call safety guards for AI agents: injection, tool-call, signing, secret, x402-trust.

CommunityDegradedNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Pay-per-call safety guards for AI agents: injection, tool-call, signing, secret, x402-trust.

    How to connect

    How to connect agents to Claude

    The server address to paste into Claude settings:

    https://paygent.obsmetrics.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect agents to ChatGPT

    The server address to paste into ChatGPT settings:

    https://paygent.obsmetrics.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect agents to Cursor

    The server address to paste into Cursor settings:

    https://paygent.obsmetrics.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (7)

    Raw names from tools/list. Only developers need these.

    secure-code-reviewSecurity review of a code snippet or diff. Returns structured findings (severity, CWE, location, remediation). [security; up to 75c/call]
    pr-summaryTurn a git diff into a clear PR description or release notes. [dev-tools; up to 30c/call]
    x402-trust-auditVet an x402 counterparty before settling USDC: scores the advertised payment requirements AND (when supplied) the EIP-3009 authorization you are about to sign. Returns a machine-enforceable trust verdict (per-entry scores, coverage-honest trustScore, spend-constraint + tamper-evident fingerprint) for buyer agents and wallet/spend-policy layers. No endpoint fetch. [security; up to 200c/call]
    sign-guardPre-sign safety oracle for agent wallets: submit the transaction or EIP-712 message you are about to sign and get a machine-enforceable verdict. Decodes the calldata/typed-data, flags the drainer toolkit (unlimited approvals, setApprovalForAll, permit/permit2 + EIP-3009 to an unexpected party, transferFrom draining an unnamed account, ownership transfer, raw ETH to a stranger), and binds the decoded action to your stated intent - only a fully pinned, clean action is auto-sign-safe. Fails closed: an undecodable on-chain call is cautioned and an unrecognized off-chain signature grant is blocked. Deterministic, sub-second, no endpoint fetch. It vouches that the action matches what you said; it does NOT vouch that a counterparty is trustworthy. [security; up to 200c/call]
    inject-guardUntrusted-content guardrail for agents: submit a blob of text you are about to feed to your own LLM (scraped web content, a tool result, another agent's message) and get a machine-enforceable verdict - is this a prompt-injection / jailbreak / data-exfiltration / tool-hijack attempt? Returns a risk level, the detected classes with spans, the unicode obfuscation it found (zero-width, bidi-override, tag-chars, homoglyphs), and a SANITIZED copy safe to feed onward. Hybrid: a deterministic, uninjectable pattern engine (authoritative) plus an LLM classifier that can only raise the risk, never clear a flag. Detection of known injection classes - not a proof of safety. [security; up to 15c/call]
    tool-call-guardPre-execution safety oracle for agent actions: submit the tool call you are about to run (shell, http, sql, file, code, env) plus your stated intent, and get a machine-enforceable verdict before you execute it. Decodes what the call does, flags the danger toolkit (rm -rf, reverse shell, curl|sh, SSRF to cloud metadata, credential reads, DROP/DELETE-without-WHERE, path traversal, dynamic eval), and binds it to your intent (allowedHosts/allowedPaths/readOnly/noNetwork) - only a fully pinned, clean, intent-matched call is auto-exec-safe. Hybrid: a deterministic, uninjectable detector engine (authoritative) plus an LLM classifier that can only raise the risk. Fails closed. Detection of known-dangerous patterns, not a proof of safety; it never executes the call. [security; up to 8c/call]
    secret-scanLeaked-credential guardrail for agents: submit a blob you are about to commit, log, post, or hand to another tool (a diff, a config, an .env, an LLM output) and get a machine-enforceable verdict - does it contain a live secret? Detects cloud keys (AWS), VCS tokens (GitHub/GitLab), provider API keys (Stripe, OpenAI, Anthropic, Google, Slack), private-key blocks, JWTs, and credentials embedded in URLs, plus high-entropy key=value assignments. Returns a risk level, the detected classes with a MASKED locator (never the secret itself, so the verdict cannot re-leak), and a REDACTED copy safe to emit onward. Deterministic, sub-second, never fetches. Detection of known secret formats - not a proof of cleanliness. [security; up to 200c/call]