Neuratelai MCP Server
neuratelai-mcp
PyPI
v0.3.0
Published by neuratel-ai — 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.
Neuratel MCP Server — connect AI assistants to Neuratel Studio
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 − 4 = 96. 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 |
| −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 46
Each tool and what it can reach — statically extracted from the published source.
create_webhooknetwork egressadd_knowledge_from_textno sensitive capabilityadd_knowledge_from_urlno sensitive capabilityassign_numberno sensitive capabilityattach_knowledge_to_agentno sensitive capabilitycreate_agentno sensitive capabilitycreate_campaignno sensitive capabilitydelete_agentno sensitive capabilitydnc_add_entryno sensitive capabilitydnc_checkno sensitive capability
Show 36 more tools ↓
dnc_delete_entryno sensitive capabilitydnc_get_settingsno sensitive capabilitydnc_list_entriesno sensitive capabilitydnc_update_settingsno sensitive capabilityduplicate_agentno sensitive capabilityget_active_callsno sensitive capabilityget_agentno sensitive capabilityget_agent_required_variablesno sensitive capabilityget_balanceno sensitive capabilityget_callno sensitive capabilityget_campaignno sensitive capabilityget_chat_analyticsno sensitive capabilityget_combined_analyticsno sensitive capabilityget_conversationno sensitive capabilityget_conversation_timelineno sensitive capabilityget_system_variables_catalogno sensitive capabilityget_usageno sensitive capabilityhangup_callno sensitive capabilitylist_agent_templatesno sensitive capabilitylist_agentsno sensitive capabilitylist_callsno sensitive capabilitylist_campaignsno sensitive capabilitylist_conversation_messagesno sensitive capabilitylist_conversationsno sensitive capabilitylist_knowledge_basesno sensitive capabilitylist_numbersno sensitive capabilitylist_webhooksno sensitive capabilitymake_callno sensitive capabilitymark_conversation_readno sensitive capabilitypause_campaignno sensitive capabilitysend_conversation_messageno sensitive capabilitystart_campaignno sensitive capabilitystop_campaignno sensitive capabilityunassign_numberno sensitive capabilityupdate_agentno sensitive capabilityupdate_conversation_variablesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (46 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 |
|---|---|---|---|---|
v0.3.0 latest |
A 96/100 | 0 | 1.13.0 | 2026-08-25 |
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 neuratelai-mcp --online --registry pypiMore in AI & Agents
Authenticated MCP transport with HTTP Signatures for AAuth agents
Local-first MCP server for parallel AI coding agents to claim file ownership before edits, preventing stomping on each other in the same worktree.
Agent-agnostic intercommunication system — sessions, messaging, channels, shared state, and real-time events
MCP server for AI agent task communication and delegation with diagnostic lifecycle visibility
Programmatic add/link/unlink for MCP servers across 23 AI coding agents (Claude Code, Claude Desktop, Cursor, VS Code, Codex, Gemini CLI, Zed, Cline, OpenCode, Goose, Kiro, Windsurf, and more). Functional API with dry-run support.
MCP server layer exposing agent-mesh orchestrator as an MCP agent