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Governance middleware for AI agents: permission gates, approvals, compliance scanning, audit ledger.
Governance middleware for AI agents: permission gates, approvals, compliance scanning, audit ledger.
Remote endpoints: sse: https://catalyst.stratogenic.ai/mcp/sse
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-stratogenic-ai-catalyst": {
"url": "https://catalyst.stratogenic.ai/mcp/sse"
}
}
}From the project's GitHub README.
Governance middleware for AI agents — hosted SSE endpoint.
Catalyst puts a governance layer between your AI agent and consequential actions. Before your agent writes files, sends messages, deploys code, or calls external APIs, it checks in with Catalyst. Depending on your governance mode, actions are allowed, routed to a human for approval, or denied.
Core features:
observe → advisory → proposal → stricttouched_by.source=mcpproposal.accepted / proposal.declined eventsClaude Code is a primary use case Catalyst was designed for. Claude Code governs itself session-locally — it asks before running dangerous commands, but those decisions leave no audit trail, survive no context reset, and sit outside your organisation's approval workflows.
Catalyst externalises that governance. Once connected, every consequential action Claude Code attempts is routed through your policy, logged in an immutable ledger, and (if required) held for human approval in the Catalyst dashboard before Claude Code proceeds.
Connect in one command:
claude mcp add catalyst \
--transport sse \
--url https://catalyst.stratogenic.ai/mcp/sse \
--header "X-API-Key: SGC_your_key_here"
Claude Code will automatically call catalyst_check_action before destructive operations and catalyst_await_approval when a proposal is required. Every action is ledgered with touched_by.source=mcp — you get a permanent, verifiable record of what your AI coding agent did and when.
What governance looks like in practice:
| Claude Code action | Catalyst response (proposal mode) |
|---|---|
git push --force | proposal_required — held for approval |
rm -rf ./dist | allow — whitelisted build action |
| Deploy to production | proposal_required — held for approval |
| Edit source files | allow — within declared capabilities |
| Call external API | proposal_required — undeclared capability |
Set your governance mode to observe to start with a full audit trail only, advisory to flag deviations without blocking, proposal to require human sign-off on sensitive actions, or strict to allow only explicitly whitelisted capabilities.
Get your API key at catalyst.stratogenic.ai.
Add to any MCP client config:
{
"mcpServers": {
"catalyst": {
"url": "https://catalyst.stratogenic.ai/mcp/sse",
"transport": "sse",
"headers": { "X-API-Key": "<your-key>" }
}
}
}
Get your API key at catalyst.stratogenic.ai.
| Tool | Description |
|---|---|
catalyst_my_governance | Show your governance profile and plan capabilities |
catalyst_check_action | Check if a capability is permitted before acting |
catalyst_log_task | Record a task or action into the governance pipeline |
catalyst_pending_approvals | List proposals awaiting human sign-off |
catalyst_await_approval | Poll a specific proposal's approval status |
catalyst_register_approval_webhook | Register a callback URL for approval events |
catalyst_run_compliance_scan | Run an automated compliance scan (requires add-on) |
catalyst_list_compliance_frameworks | List available compliance frameworks |
catalyst_get_dashboard | Get the governance dashboard snapshot |
catalyst_export_ledger | Export the hash-linked audit chain |
catalyst_my_governance() # understand your mode + capabilities
↓
catalyst_check_action("write_file") # allow | proposal_required | deny
↓ if proposal_required
catalyst_log_task("Deploy to prod") # creates proposal, returns proposal_id
↓
catalyst_await_approval(proposal_id) # poll until approved: true
↓ proceed
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