Prompt To MCP Server
prompt-to-mcp
PyPI
v0.1.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
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 − 5 = 95. 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 |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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 3
medium Untrusted input can drive an external actionMTC-FLOW-005
Untrusted-input tools ([get_session_info]) co-exist with external-action tools ([webhook_endpoint_tool]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.
Evidence: untrusted [get_session_info] → sinks [webhook_endpoint_tool]
Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.
Location: flow get_session_info → webhook_endpoint_tool
low Dynamic code execution in packaging/dev tooling (tests/test_respfilter.py)MTC-SRC-001
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_respfilter.py:98`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ) ns: dict = {} exec(compile(src, "filters.py", "exec"), ns) # noqa: S102 - trusted template gen_apply = ns
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server tests/test_respfilter.py
low Shell/command execution in packaging/dev tooling (tests/test_respfilter.py)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_respfilter.py:98`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ) ns: dict = {} exec(compile(src, "filters.py", "exec"), ns) # noqa: S102 - trusted template gen_apply = ns
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server tests/test_respfilter.py
Tools 31
Each tool and what it can reach — statically extracted from the published source.
get_session_infoingests untrusted inputwebhook_endpoint_toolnetwork egressagent_task_managerno sensitive capabilitybalance_overviewno sensitive capabilityconnect_account_toolno sensitive capabilitycreate_petno sensitive capabilitycustomer_lookupno sensitive capabilitycustomer_manageno sensitive capabilityget_petno sensitive capabilityget_repository_overviewno sensitive capability
Show 21 more tools ↓
get_store_inventoryno sensitive capabilityhandle_payment_intentno sensitive capabilityinvoice_lookupno sensitive capabilityinvoice_manageno sensitive capabilityinvoice_workflowno sensitive capabilitylist_pet_ordersno sensitive capabilitylist_petsno sensitive capabilitymanage_customerno sensitive capabilitymanage_issuesno sensitive capabilitymanage_pull_requestsno sensitive capabilitymanage_repository_filesno sensitive capabilitymanage_workflow_runsno sensitive capabilityprice_managementno sensitive capabilityproduct_managementno sensitive capabilityrefund_handlingno sensitive capabilityrefund_lookupno sensitive capabilityrefund_manageno sensitive capabilityreport_run_toolno sensitive capabilitysearch_githubno sensitive capabilitysubscription_managementno sensitive capabilityview_security_alertsno sensitive capability
Toxic flows 1
Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
What this scan could not see
- Tools were statically extracted from the published source (31 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 |
|---|---|---|---|---|
v0.1.1 latest |
A 95/100 | 3 | 1.9.0 | 2026-07-23 |
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.
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