cognigy-ai-mcp-management-server
npm
v0.1.4
Published by tsvetang2 — 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.
Local MCP server for managing Cognigy.AI agents via REST API
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.
Each tool and what it can reach — statically extracted from the published source.
create_package_download_linkingests untrusted inputcreate_snapshot_download_linkingests untrusted inputpackage_snapshotingests untrusted inputpromote_snapshotingests untrusted inputaudit_nluno sensitive capabilityclone_flowno sensitive capabilityclone_llmno sensitive capabilitycreate_connectionno sensitive capabilitycreate_contact_profileno sensitive capabilitycreate_functionno sensitive capabilitycreate_handover_providerno sensitive capabilitycreate_intentno sensitive capabilitycreate_knowledge_chunkno sensitive capabilitycreate_knowledge_connectorno sensitive capabilitycreate_knowledge_sourceno sensitive capabilitycreate_knowledge_storeno sensitive capabilitycreate_llmno sensitive capabilitycreate_nlu_connectorno sensitive capabilitycreate_nodeno sensitive capabilitycreate_packageno sensitive capabilitycreate_sentenceno sensitive capabilitycreate_snapshotno sensitive capabilitydelete_connectionno sensitive capabilitydelete_contact_profileno sensitive capabilitydelete_extensionno sensitive capabilitydelete_functionno sensitive capabilitydelete_handover_providerno sensitive capabilitydelete_intentno sensitive capabilitydelete_knowledge_chunkno sensitive capabilitydelete_knowledge_connectorno sensitive capabilitydelete_knowledge_sourceno sensitive capabilitydelete_knowledge_storeno sensitive capabilitydelete_llmno sensitive capabilitydelete_nlu_connectorno sensitive capabilitydelete_nodeno sensitive capabilitydelete_packageno sensitive capabilitydelete_snapshotno sensitive capabilitydiff_snapshotsno sensitive capabilityexport_contact_profileno sensitive capabilitygenerate_nlu_scoresno sensitive capabilitygenerate_node_outputno sensitive capabilitygenerate_sentencesno sensitive capabilityget_audit_eventno sensitive capabilityget_call_metricsno sensitive capabilityget_connectionno sensitive capabilityget_contact_profileno sensitive capabilityget_contact_profile_schemano sensitive capabilityget_conversationno sensitive capabilityget_conversation_metricsno sensitive capabilityget_conversationsno sensitive capabilityget_endpointno sensitive capabilityget_extensionno sensitive capabilityget_flowno sensitive capabilityget_flow_settingsno sensitive capabilityget_functionno sensitive capabilityget_function_instanceno sensitive capabilityget_handover_providerno sensitive capabilityget_handover_serviceno sensitive capabilityget_intentno sensitive capabilityget_knowledge_chunkno sensitive capabilityget_knowledge_connectorno sensitive capabilityget_knowledge_query_metricsno sensitive capabilityget_knowledge_sourceno sensitive capabilityget_knowledge_storeno sensitive capabilityget_latest_log_entriesno sensitive capabilityget_llmno sensitive capabilityget_nlu_connectorno sensitive capabilityget_nodeno sensitive capabilityget_node_descriptorsno sensitive capabilityget_nodesno sensitive capabilityget_packageno sensitive capabilityget_playbookno sensitive capabilityget_playbook_runno sensitive capabilityget_snapshotno sensitive capabilityget_snapshot_resourcesno sensitive capabilityget_taskno sensitive capabilityget_transcriptno sensitive capabilityinject_contextno sensitive capabilitylist_audit_eventsno sensitive capabilitylist_connectionsno sensitive capabilitylist_contact_profilesno sensitive capabilitylist_endpointsno sensitive capabilitylist_extensionsno sensitive capabilitylist_flowsno sensitive capabilitylist_function_instancesno sensitive capabilitylist_functionsno sensitive capabilitylist_handover_providersno sensitive capabilitylist_handover_servicesno sensitive capabilitylist_intentsno sensitive capabilitylist_knowledge_chunksno sensitive capabilitylist_knowledge_connectorsno sensitive capabilitylist_knowledge_sourcesno sensitive capabilitylist_knowledge_storesno sensitive capabilitylist_llmsno sensitive capabilitylist_nlu_connectorsno sensitive capabilitylist_packagesno sensitive capabilitylist_playbook_runsno sensitive capabilitylist_playbooksno sensitive capabilitylist_projectsno sensitive capabilitylist_sentencesno sensitive capabilitylist_snapshotsno sensitive capabilitylist_tasksno sensitive capabilitymerge_contact_profilesno sensitive capabilitymerge_packageno sensitive capabilitymove_nodeno sensitive capabilityremove_contact_idno sensitive capabilityreset_contextno sensitive capabilityrestore_snapshotno sensitive capabilityrun_knowledge_connectorno sensitive capabilityrun_playbookno sensitive capabilityrun_regressionno sensitive capabilityscore_utteranceno sensitive capabilitysearch_nodesno sensitive capabilitysearch_resourcesno sensitive capabilityset_contact_profile_schemano sensitive capabilitystop_function_instanceno sensitive capabilitytest_llm_connectionno sensitive capabilitytrain_intentsno sensitive capabilitytrigger_functionno sensitive capabilityunmerge_contact_profilesno sensitive capabilityupdate_analytics_recordno sensitive capabilityupdate_connectionno sensitive capabilityupdate_contact_profileno sensitive capabilityupdate_extensionno sensitive capabilityupdate_extension_packageno sensitive capabilityupdate_functionno sensitive capabilityupdate_handover_providerno sensitive capabilityupdate_intentno sensitive capabilityupdate_knowledge_chunkno sensitive capabilityupdate_knowledge_connectorno sensitive capabilityupdate_knowledge_sourceno sensitive capabilityupdate_knowledge_storeno sensitive capabilityupdate_llmno sensitive capabilityupdate_nlu_connectorno sensitive capabilityupdate_nodeno sensitive capabilityupload_extensionno sensitive capabilityupload_packageno sensitive capabilityupload_snapshot_packageno sensitive capabilityScan 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 |
|---|---|---|---|---|
v0.1.4 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-08 |
v0.1.2 |
A 97/100 | 0 | 1.10.0 | 2026-07-25 |
v0.1.0 |
A 100/100 | 0 | 1.5.0 | 2026-07-22 |
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.
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 cognigy-ai-mcp-management-server --online
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