Archery MCP Server
archery-mcp-server
PyPI
v0.1.0
Published by ckall — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Archery SQL审核查询平台 MCP Server - 让AI Agent直接操作SQL工单/查询/审核
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 − 1 = 99. 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:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
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
Tools 27
Each tool and what it can reach — statically extracted from the published source.
auth_group_createno sensitive capabilityauth_group_listno sensitive capabilityinstance_createno sensitive capabilityinstance_deleteno sensitive capabilityinstance_listno sensitive capabilityinstance_resourceno sensitive capabilityinstance_table_lookupno sensitive capabilityinstance_updateno sensitive capabilityresource_group_createno sensitive capabilityresource_group_listno sensitive capability
Show 17 more tools ↓
sql_checkno sensitive capabilitysqlquery_describe_tableno sensitive capabilitysqlquery_executeno sensitive capabilitysqlquery_favoriteno sensitive capabilitysqlquery_instancesno sensitive capabilitysqlquery_logsno sensitive capabilitysqlquery_resourcesno sensitive capabilityuser_createno sensitive capabilityuser_deleteno sensitive capabilityuser_listno sensitive capabilityuser_updateno sensitive capabilityworkflow_auditno sensitive capabilityworkflow_executeno sensitive capabilityworkflow_listno sensitive capabilityworkflow_logno sensitive capabilityworkflow_pending_listno sensitive capabilityworkflow_submitno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (27 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
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.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.0 latest |
A 99/100 | 0 | 1.12.1 | 2026-07-28 |
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.
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 archery-mcp-server --online --registry pypiMore in Databases
Security scan results for the A5sql MCP server.
Expose AgentsKit tools as an MCP server — use them from Claude Desktop, Cursor, Windsurf, or any MCP host.
MCP server for Aiven cloud data platform - manage PostgreSQL, Kafka, and other services
MCP Server for All-Inkl.com hosting via KAS API
Structured aquarium, marine, terrarium and paludarium data for AI agents.
MCP server that gives your AI agent real vehicle data — specs, representative images, federal recalls, owner complaints, service bulletins, defect investigations, and OBD-II DTC reference — from the CarVector API.