Catalyst Governance

by Stratogenic-AI

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About

Governance middleware for AI agents — permission gates, human-in-the-loop approvals, compliance scanning across 8 frameworks, and hash-linked audit ledger. Hosted SSE endpoint, no self-hosting required.

Details

Author
Stratogenic-AI
Downloads
282
Categories
Other, Security, AI, Productivity

- Hosted SSE endpoint — no self-hosting required
- Four governance modes: observe, advisory, proposal, strict
- Human-in-the-loop proposal workflow with dashboard
- 8 pre-built compliance scanning frameworks
- Hash-linked, tamper-evident audit ledger
- Works with Claude Code, Claude Desktop, and any MCP client

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Catalyst Governance
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Configure your MCP client to connect to Catalyst’s hosted SSE endpoint using an X-API-Key. The server checks every agent action against your policy and enforces the selected governance mode.

catalyst_ingest_task

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.

catalyst_search_tasks

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_update_task

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.

catalyst_bulk_update_tasks

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.

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_accept_proposals

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.

catalyst_decline_proposals

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.

catalyst_review_proposal

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.

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_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_org_summary

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_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_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_create_tasks_from_findings

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_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_activate_compliance_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.

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_register_machine_actor

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+).

catalyst_evaluate_agent_action

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.

catalyst_register_workflow

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+).

catalyst_send_lite_event

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.

catalyst_get_workflow_trust

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).

catalyst_export_workflow_audit

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.

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.

catalyst_export_ledger

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_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_check_action

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'.

catalyst_log_task

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).

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_await_approval

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.

catalyst_register_approval_webhook

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "catalyst governance": {
            "catalyst": {
                "url": "https://catalyst.stratogenic.ai/mcp/sse",
                "transport": "sse",
                "headers": {
                    "X-API-Key": "<your-key>"
                }
            }
        }
    }
}

McpServers

{
    "catalyst": {
        "url": "https://catalyst.stratogenic.ai/mcp/sse",
        "transport": "sse",
        "headers": {
            "X-API-Key": "<your-key>"
        }
    }
}

Governance middleware for AI agents — hosted SSE endpoint, no self-hosting required.

Connect once via X-API-Key. Before your agent writes files, deploys code, sends messages, or calls external APIs, Catalyst checks in and enforces your policy.

Governance modes: observe → advisory → proposal → strict
Human-in-the-loop: agents submit proposals, humans approve/decline in the dashboard before consequential actions proceed
Compliance scanning: 8 pre-built frameworks — GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act, Bribery Act, AML/KYC
Audit ledger: hash-linked, tamper-evident chain of every agent action

Built for Claude Code, Claude Desktop, and any MCP-compatible client.

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