Eclipse Muster MCP
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- AlicenseNot gradedqualityBmaintenanceEnables AI clients to scan for a subject's records across Postgres, MongoDB, and payment systems, assess blast-radius risk, and execute deletion or anonymization only after explicit human approval. Every mutation is snapshotted for rollback and recorded in a SHA-256 hash-chained, tamper-evident audit log.5 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables users to audit relational databases, vector embeddings, and activity logs for GDPR/CCPA erasure requests, apply legal-hold exemptions, perform cascading pseudo-anonymization, and generate cryptographic HMAC-SHA256 proof-of-erasure certificates.7-
- AlicenseNot gradedqualityCmaintenanceEnables an assistant to classify returned fields, judge the current audience, and route only safe content to public speech while protected values are diverted into a short-lived, profile-bound, one-time private handoff. It also explains each privacy decision and records redacted receipts with honest deletion status, backed by a fail-closed policy engine that never passes protected values to optional model or authorization services.MIT
- AlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible agent to route its outbound tool calls and inbound tool responses through a boundary-enforced consent firewall that detects and minimizes sensitive fields per recipient, purpose and data type, pauses for user approval, quarantines prompt injections, and writes a tamper-evident privacy receipt for every decision. Sensitive values stay as vault tokens so the model provider never receives them unless policy explicitly allows it.2 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to access corporate HR and CRM APIs on behalf of a specific user through OAuth 2.1 token verification, deny-by-default RBAC, token exchange, audit logging, PII masking, and untrusted-output envelopes.MIT
- AlicenseNot gradedqualityDmaintenanceProvides a typed compliance model and governance runtime that lets AI draft policies, assess controls, find framework gaps, and build verifiable audit trails across frameworks like ISO 27001:2022, SOC 2, GDPR, NIST CSF 2.0, and HIPAA. Every write is gated by a server-side verifier and human approval, producing a tamper-evident record.Apache 2.0
TDQS
Scored across 9 tools
Each tool targets a distinct resource and action: record operations, merge lifecycle stages, reply drafting, policy inspection, and receipt listing. The staged merge tools (propose/execute/unmerge) are explicitly separated by required tokens and side effects, preventing confusion between them.
All nine tools follow the same noun_verb resource_action convention: record_ingest, merge_propose, reply_draft, policy_show, receipt_list, etc. There is no mixing of camelCase, vague verbs, or inconsistent ordering.
Nine tools is a well-scoped set for a governed customer graph service with ingestion, search, merge lifecycle, reply drafting, policy visibility, and receipts. Each tool has a clear role and none appear gratuitous.
The merge lifecycle is complete and governance operations are covered, but there is no explicit record update, delete, or erasure operation despite the data-rights framing. Agents can work around some gaps via re-ingest or merges, but lifecycle coverage is notably incomplete for a customer record graph.