Agirails MCP Server

@agirails/mcp-server npm v0.2.0 Source verified

Published by agirails — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.

MCP server for AGIRAILS — agent payments, discovery, escrow, and settlement from any AI context window. Works with Claude Desktop, Cursor, VS Code, Windsurf, and any MCP-compatible client.

Trust grade
A
97/100
Last scanned get badge →
Trust
A · 97/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 97/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 20

Each tool and what it can reach — statically extracted from the published source.

  • agirails_get_agent_cardingests untrusted input
  • agirails_get_protocol_specingests untrusted input
  • agirails_accept_quoteno sensitive capability
  • agirails_cancelno sensitive capability
  • agirails_deliverno sensitive capability
  • agirails_disputeno sensitive capability
  • agirails_explain_conceptno sensitive capability
  • agirails_find_agentsno sensitive capability
  • agirails_get_balanceno sensitive capability
  • agirails_get_quickstartno sensitive capability
Show 10 more tools ↓
  • agirails_get_transactionno sensitive capability
  • agirails_initno sensitive capability
  • agirails_list_transactionsno sensitive capability
  • agirails_payno sensitive capability
  • agirails_publish_configno sensitive capability
  • agirails_request_serviceno sensitive capability
  • agirails_search_docsno sensitive capability
  • agirails_settleno sensitive capability
  • agirails_submit_quoteno sensitive capability
  • agirails_verify_agentno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v0.2.0 latest A 97/100 0 1.13.0 2026-09-08

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 97/100
Markdown (GitHub README)
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan @agirails/mcp-server --online

Use the free API → How scoring works

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