mcp server

Catalyst Governance

Governance middleware for AI agents: permission gates, approvals, compliance scanning, audit ledger.

Description as published by the maintainer. Source

• version 1.0.1
• active
• security

active — Registry entry last updated 2026-06-14. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

31 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

catalyst_accept_proposals(ids)

Accept one or more proposals, committing them to the flow cycle. ids: list of proposal `idempotency_key` values from catalyst_list_proposals. Do not pass `task_id` or `id` — the backend looks up proposals by `idempotency_key` and will silently match nothing if the wrong field is used. Acceptance is the governance commit step: items move from review state into live execution state and are recorded in the immutable ledger. Required: ids.

catalyst_activate_compliance_framework(framework)

Activate a pre-built compliance framework pack for this organisation. framework: one of gdpr, soc2, iso27001, hipaa, pci_dss, eu_ai_act, bribery_act, aml_kyc. Once activated, the pack's DENY/REQUIRE/ADVISE rules are merged into every subsequent compliance scan — no document upload required. Requires can_scan entitlement. Required: framework.

catalyst_await_approval(proposal_id)

Check approval status for a specific proposal. Returns approved: true/false and clear guidance on whether to proceed. Call this after catalyst_check_action returns 'proposal_required'. Do NOT proceed with the gated action until approved: true is returned. POLLING vs EVENT-DRIVEN: For interactive sessions, poll this tool. For autonomous long-running workflows, prefer registering a webhook via catalyst_register_approval_webhook(callback_url) so your orchestrator is notified the moment a human acts — no polling loop required. Required: proposal_id.

catalyst_bulk_update_tasks(filter, updates)

Bulk update all tasks matching a filter. Growth/Enterprise plans only. filter keys: domain, priority, stage, owner, tag, group_id. updates keys: owner, priority, domain, stage, tags_add, tags_remove. Returns matched and updated counts. Required: filter, updates.

catalyst_check_action(title, context, capability)

Check if a capability/action is permitted by your governance policy. Returns decision: 'allow' | 'proposal_required' | 'deny' with guidance. Call BEFORE any consequential action (API call, data write, send, deploy). If title is provided and decision is 'proposal_required', the intent is logged automatically and proposal_id is returned — no second call needed. If 'proposal_required' without a title, call catalyst_log_task separately. capability examples: 'send_email', 'write_file', 'deploy_code', 'update_record', 'delete_record', 'external_api_call'. Required: capability.

catalyst_create_tasks_from_findings(classes)

Materialise compliance findings as actionable flow tasks. classes: list of finding classes to convert, e.g. ['MISSING_CONTROL', 'PROHIBITED_ACTION']. Defaults to both. Created tasks enter the governance pipeline like any other ingest.

catalyst_decline_proposals(ids)

Decline one or more proposals without committing them. ids: list of proposal `idempotency_key` values from catalyst_list_proposals. Do not pass `task_id` or `id` — the backend looks up proposals by `idempotency_key` and will silently match nothing if the wrong field is used. Declined proposals are recorded for audit and learning but are not added to the live flow cycle. Required: ids.

catalyst_evaluate_agent_action(context, actor_id, capability)

Evaluate whether an agent action is permitted by the governance gate. Returns decision: 'allow' | 'proposal_required' | 'deny'. High-risk actors with allow decisions are escalated to proposal_required. The actor must be registered and active for this tenant. Required: actor_id, capability.

catalyst_export_ledger(since, format)

Export the immutable SHA-256 chained audit ledger. since: ISO timestamp to filter entries (inclusive). format: 'json' returns full entries; 'csv' sets entries to null (use REST API for CSV). The ledger is tamper-evident — any modification breaks the hash chain.

catalyst_export_workflow_audit(since, workflow_id, ai_standards_only)

Export audit events for an AI workflow as JSON. since: ISO timestamp filter (inclusive). ai_standards_only: limit to events from workflows opted into Built to AI Standards. Suitable for regulatory submissions and investor due diligence. Required: workflow_id.

catalyst_get_compliance_findings

Get the latest compliance findings from the most recent scan. Returns findings flattened by category: conflicts, gaps, ok. Each finding includes category, severity, status, and task linkage. Does not trigger a new scan — use catalyst_run_compliance_scan first.

catalyst_get_dashboard

Get the governance dashboard snapshot including all views. Returns tenant metadata, execution metrics, and all 5 governance views (execution_flow, ownership_map, compliance_web, risk_heatmap, client_influence).

catalyst_get_graph_views

Get all 7 governance graph views for the tenant. Views: org_snapshot, execution_flow, ownership_map, compliance_web, risk_heatmap, client_influence, catalyst_metrics. Read-only, derived from flow_cycle on demand. Requires governance_dashboard entitlement.

catalyst_get_org_summary(extra_query, time_window)

Get an AI-generated narrative summary of the org's execution state. time_window: 'last_7_days' or 'last_30_days'. extra_query: optional focus bias (e.g. 'compliance', 'delivery risk'). Returns a MASC-L3 compliant narrative — no individual evaluations. Requires governance_dashboard entitlement.

catalyst_get_workflow_trust(window_days, workflow_id)

Get the four-component trust score for a registered AI workflow. Score = 0.25×ai_declared + 0.25×risk_eval + 0.25×override + 0.25×(1−failure). Range 0.0–1.0. window_days controls the lookback period (1–365). Required: workflow_id.

catalyst_ingest_task(items, domain)

Ingest one or more tasks into Catalyst governance pipeline. Items should include at minimum a 'title'. Optional fields: details, owner, priority (Low/Medium/High/Critical), stage, domain, due_at, tags, group_id. Returns ingested count and proposal IDs created. Required: items.

catalyst_list_compliance_frameworks

List all available pre-built compliance framework packs. Returns each pack (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act, Bribery Act, AML/KYC) with its name, description, rule count, and whether it is currently active for this organisation. Activate a pack with catalyst_activate_compliance_framework.

catalyst_list_compliance_rules

List all compliance rules currently in effect for the organisation. Returns rules from three sources combined and deduplicated: - Rules extracted from uploaded policy documents - Custom org-level rules (PATCH /compliance/rules) - Rules from any activated framework packs Each rule includes: id, type (DENY/REQUIRE/ADVISE), trigger sentence, severity, scope, remediation guidance, confidence score, and authority citation.

catalyst_list_proposals

List all pending governance proposals awaiting acceptance or decline. Proposals are work items that have been ingested but not yet committed to the live flow cycle. They require human (or agent) review. Each proposal contains an `idempotency_key` field — this is the canonical proposal identifier. Always use `idempotency_key` (not `task_id` or `id`) when passing proposal IDs to catalyst_accept_proposals, catalyst_decline_proposals, or catalyst_review_proposal.

catalyst_log_task(title, domain, details, priority)

Log a task or action into the Catalyst governance pipeline. Records work, decisions, and actions for audit and governance. priority: Low | Medium | High | Critical. domain: security | product | operations | compliance | finance | legal | other. Returns ingested count and any proposal_ids created (if a governance hold applies). Required: title.

catalyst_my_governance

Show your governance profile, actor registration, and plan capabilities. Returns governance_mode (observe/advisory/proposal/strict), risk_class, declared capabilities, and actor_id. Auto-registers you in observe mode on first connection — the lightest governance touch. Also returns plan_capabilities showing which features are active and which require an upgrade — relay any upgrade_required fields to the user so they can unlock compliance scanning or AI workflow governance. Call this first to understand what you are and are not permitted to do.

catalyst_pending_approvals

List proposals currently awaiting governance approval. Shows proposals with status pending or in review. Use this to check whether an action you submitted is still waiting for human sign-off before you proceed. Returns count and full proposal objects with IDs for catalyst_await_approval.

catalyst_register_approval_webhook(callback_url)

Register a callback URL to receive proposal approval notifications. Subscribes callback_url to proposal.accepted and proposal.declined events. When a human approves or declines any proposal, Catalyst POSTs the event to your URL with the resolved proposal IDs in data.ids. Use this instead of polling catalyst_await_approval for autonomous workflows: register once, let your orchestrator (Temporal, job queue, webhook relay) wake the agent when the relevant proposal_id arrives. Then call catalyst_await_approval once to confirm and proceed. Returns subscription IDs, the expected payload shape, and usage guidance. Returns upgrade_required: true if outbound webhooks are not on your plan. Required: callback_url.

catalyst_register_machine_actor(notes, scopes, risk_class, capabilities, display_name, runtime_type, governance_mode)

Register a machine actor (agent, automation) with Catalyst governance. runtime_type: zapier_zap | n8n_workflow | openai_assistant | make_scenario | claude_agent | custom_agent | internal_worker. governance_mode: observe | advisory | proposal | strict. risk_class: low | standard | high. Requires can_configure_ai_workflows entitlement (Enterprise+). Required: display_name, runtime_type.

catalyst_register_workflow(mode, notes, risk_level, workflow_id, ai_standards)

Register an AI workflow for EU AI Act compliance governance. risk_level: unacceptable (rejected) | high | limited | minimal. mode: observe | advisory | proposal. High-risk workflows are forced to proposal. Sets ai_standards=True to opt into the Built to AI Standards evidence trail. Requires can_configure_ai_workflows (Enterprise+). Required: workflow_id.

catalyst_review_proposal(reason, decision, proposal_id, reviewer_id)

Approve or reject a review-required proposal (AI governance hold). proposal_id: the `idempotency_key` field from catalyst_list_proposals. Do not pass `task_id` or `id` — the backend looks up by `idempotency_key`. decision must be 'approve' or 'reject'. Approved proposals can then be accepted via catalyst_accept_proposals. Rejected proposals are marked review-rejected in the ledger. Required: proposal_id, decision.

catalyst_run_compliance_scan

Run a compliance scan against all loaded compliance documents. Detects compliance gaps, conflicts, and policy violations across the current flow cycle. Requires can_scan entitlement. Returns findings grouped by severity.

catalyst_search_tasks(q, limit, domain, offset, priority)

Search normalised tasks in the tenant flow cycle. Performs case-insensitive substring match on title/details. Filter by canonical domain (e.g. security, product, operations) or priority.

catalyst_send_lite_event(payload, event_type, request_id, workflow_id)

Send a lifecycle event for a registered AI workflow. event_type examples: run.started, action.executed, approval.requested, run.completed, run.failed. Idempotent via request_id (UUID recommended). Payload is scrubbed of credentials before storage. Required: workflow_id, event_type.

catalyst_update_task(patch, task_id)

Update a single task in the governance flow. Ledger-recorded. Patch may include: title, details, owner, priority, stage, domain, due_at, status, tags, done. Normalisation is applied automatically. Required: task_id, patch.

catalyst_weekly_summary

Get a 7-day activity rollup: ingested, accepted, declined proposals, domain breakdown, priority breakdown, and average risk score. Fully deterministic — no LLM calls.

Last successful function declaration observed on 2026-08-13. Source: https://catalyst.stratogenic.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on 2026-08-13. Source: https://catalyst.stratogenic.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Where to get it

• Repository — https://github.com/Stratogenic-AI/catalyst-mcp
• Remote endpoint (streamable-http) — https://catalyst.stratogenic.ai/mcp
• Remote endpoint (sse) — https://catalyst.stratogenic.ai/mcp/sse