Mesheshq MCP Server
@mesheshq/mcp-server
npm
v1.0.10
Source verified
Published by mesheshq — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
MCP server for Meshes — emit events, manage workspaces, create rules, and inspect deliveries from any MCP-compatible client.
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:
| Points | Adoption-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
Tools 33
Each tool and what it can reach — statically extracted from the published source.
meshes_create_connectionnetwork egressmeshes_create_ruleno sensitive capabilitymeshes_create_sessionno sensitive capabilitymeshes_create_workspaceno sensitive capabilitymeshes_delete_connectionno sensitive capabilitymeshes_delete_ruleno sensitive capabilitymeshes_emit_bulk_eventsno sensitive capabilitymeshes_emit_eventno sensitive capabilitymeshes_get_connectionno sensitive capabilitymeshes_get_connection_actionsno sensitive capability
Show 23 more tools ↓
meshes_get_connection_default_mappingsno sensitive capabilitymeshes_get_connection_fieldsno sensitive capabilitymeshes_get_eventno sensitive capabilitymeshes_get_event_payloadno sensitive capabilitymeshes_get_ruleno sensitive capabilitymeshes_get_workspaceno sensitive capabilitymeshes_get_workspace_connectionsno sensitive capabilitymeshes_get_workspace_event_typesno sensitive capabilitymeshes_get_workspace_eventsno sensitive capabilitymeshes_get_workspace_resourcesno sensitive capabilitymeshes_get_workspace_rulesno sensitive capabilitymeshes_list_connectionsno sensitive capabilitymeshes_list_eventsno sensitive capabilitymeshes_list_integrationsno sensitive capabilitymeshes_list_rulesno sensitive capabilitymeshes_list_sessionsno sensitive capabilitymeshes_list_workspacesno sensitive capabilitymeshes_refresh_sessionno sensitive capabilitymeshes_retry_event_ruleno sensitive capabilitymeshes_revoke_sessionno sensitive capabilitymeshes_update_connectionno sensitive capabilitymeshes_update_connection_default_mappingsno sensitive capabilitymeshes_update_workspaceno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (33 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 |
|---|---|---|---|---|
v1.0.10 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.
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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