Per the cowork/docs-audit-2026-05-05/ end-to-end factuality audit (20 confirmed findings across 76 docs, 7 parallel subagents + audit-of-the-audit). Hot + Warm tier fixes ship here; STALE findings (qa-test-suite.md test-count snapshot) need 'make qa-stats' which is operator-side. BROKEN links repaired (3): - docs/reference/api.md L195: [Quick Start](quickstart.md) → ../getting-started/quickstart.md (404 pre-fix) - docs/reference/api.md L196: [Connector Guide](connectors.md) → connectors/index.md (Phase 4 rename, was 404 pre-fix) - docs/reference/protocols/scep-intune.md L377: [legacy-est-scep.md](legacy-est-scep.md) → scep-server.md (file was deleted in Phase 7 commite9b1510) INCORRECT count claims repaired (12): - api.md L5 + L18-19 + L155: '78 API operations' / '# 78' / 'all 78 documented operations' → re-derive via grep -cE '^\s+operationId:' (actual at HEAD: 144) - architecture.md L66 (Mermaid label) + L502 + L1047 + L1253: '8 always-on + 4 optional loops' / '12-loop topology' → 9 always-on + 5 opt-in loops (14 total). Always-on/opt-in breakdown derived from cmd/server/main.go startup wiring: always-on are agentHealthCheck, crlGeneration, jobProcessor, jobRetry, jobTimeout, notificationProcess, notificationRetry, renewalCheck, shortLivedExpiryCheck (9); opt-in are networkScan, digest, healthCheck, cloudDiscovery, acmeGC (5). Re-derive count via grep -cE '^func \(s \*Scheduler\) [a-zA-Z]+Loop' internal/scheduler/scheduler.go. - configuration.md L31: '12 loops, 8 always-on + 4 opt-in' → '14 loops, 9 always-on + 5 opt-in'. Self-introduced regression from commit3275f9f(2026-05-05). - mcp.md L11 + L65: 'all 78 API endpoints' / '78 available tools' → re-derive via grep -cE 'mcp\.AddTool\(' (actual at HEAD: 87 MCP tools, 144 API operations). - connectors/index.md L111: '9 built-in' issuer connectors → '12 built-in', extending the inline enumeration to include Entrust, GlobalSign, EJBCA (which had been added since the L111 prose was written). Local-CA framing extended to mention tree mode + ADCS sub-CA mode-doc. - connectors/index.md L112: '14 built-in' target connectors → '15 built-in', adding AWS ACM target + Azure Key Vault target (which had been added since the L112 prose was written). - why-certctl.md L37 + the inline list: 'Nine issuer connectors ship today' → 'Twelve issuer connectors', adding AWS ACM PCA, Entrust, GlobalSign, EJBCA to the list and removing the misleading 'EST enrollment' bullet (EST is a protocol surface, not an issuer; clarified in trailing note). - why-certctl.md L66: '13 deployment targets' → '15', adding Kubernetes Secrets, AWS ACM, and Azure KV to the inline list. - why-certctl.md L92: 'supports 9 issuer types' → '12 issuer types'. - quickstart.md L135: '35 demo certificates across 5 issuers' → re-derive cert count via 'grep -oE "mc-[a-z0-9_-]+" migrations/seed_demo.sql | sort -u | wc -l' (actual: 32, matches README L86; quickstart was off-by-3). - quickstart.md L452 (Demo Data Reference table): Certificates '35' → '32' (matches the cert count from seed_demo.sql). Verification: - grep confirms no remaining stale refs across the touched files (8 files, 31 insertions / 28 deletions). - All 24 ci-guards/*.sh pass locally. - The audit's STALE findings (S-1, S-2 qa-test-suite.md Bundle-P snapshot) are operator-side: run 'make qa-stats' to refresh the Test Suite Health table. Companion: cowork/docs-audit-2026-05-05/RESULTS.md captures the full audit with subagent false positives and missed findings called out.
8.9 KiB
MCP Server Guide
Last reviewed: 2026-05-05
certctl ships with an MCP (Model Context Protocol) server that lets AI assistants manage your certificate infrastructure through natural language. Ask Claude to "show me all expiring certificates," "revoke the VPN cert," or "what agents are offline?" and the MCP server translates that into API calls against your certctl instance.
This guide covers setup, configuration, and usage with Claude, Cursor, and other MCP-compatible tools.
What Is MCP?
MCP is an open protocol that connects AI assistants to external tools and data sources. Instead of copying and pasting API responses into a chat window, MCP lets the AI call your tools directly. The certctl MCP server exposes the certctl API as MCP tools (re-derive count via grep -cE 'mcp\.AddTool\(' internal/mcp/tools.go) — the AI sees typed schemas describing what each tool does, what parameters it accepts, and what it returns.
The MCP server is a separate binary (cmd/mcp-server/) that communicates via stdio transport. It's a stateless HTTP proxy: every MCP tool call becomes an HTTP request to the certctl REST API. No new state, no new database tables, no new attack surface beyond what the API already exposes.
Prerequisites
You need:
- A running certctl server (see Quick Start)
- The MCP server binary — either built from source or from a Docker image
- An MCP-compatible AI client (Claude Desktop, Cursor, VS Code with Copilot, etc.)
Building the MCP Server
cd certctl
go build -o certctl-mcp ./cmd/mcp-server/
The binary has zero runtime dependencies beyond the certctl server it connects to.
Configuration
The MCP server reads three environment variables:
| Variable | Required | Default | Description |
|---|---|---|---|
CERTCTL_SERVER_URL |
No | https://localhost:8443 |
URL of the certctl REST API (HTTPS-only as of v2.2) |
CERTCTL_API_KEY |
No | (empty) | API key for authentication (passed as Bearer token) |
CERTCTL_SERVER_CA_BUNDLE_PATH |
Yes (for self-signed / internal CA) | (empty) | Path to PEM CA bundle that signed the server cert. Required when the server cert isn't rooted in the system trust store (the default compose stack ships a self-signed cert at deploy/test/certs/ca.crt). |
If your certctl server has auth enabled (the default), you must provide the API key. The MCP server passes it through to every HTTP request.
Since v2.2 the certctl control plane is HTTPS-only. If the server cert is self-signed or chained to an internal CA, set CERTCTL_SERVER_CA_BUNDLE_PATH so the MCP server can verify the TLS handshake. Never set CERTCTL_SERVER_TLS_INSECURE_SKIP_VERIFY=true outside local development — it disables all certificate validation.
Setting Up with Claude Desktop
Add this to your Claude Desktop MCP configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"certctl": {
"command": "/path/to/certctl-mcp",
"env": {
"CERTCTL_SERVER_URL": "https://localhost:8443",
"CERTCTL_SERVER_CA_BUNDLE_PATH": "/path/to/certctl/deploy/test/certs/ca.crt",
"CERTCTL_API_KEY": "your-api-key-here"
}
}
}
}
Restart Claude Desktop. You should see "certctl" appear in the MCP tools list (the available-tools count varies by certctl version; the exact set is enumerated in internal/mcp/tools.go).
Setting Up with Cursor
In Cursor, go to Settings → MCP Servers and add:
{
"certctl": {
"command": "/path/to/certctl-mcp",
"env": {
"CERTCTL_SERVER_URL": "https://localhost:8443",
"CERTCTL_SERVER_CA_BUNDLE_PATH": "/path/to/certctl/deploy/test/certs/ca.crt",
"CERTCTL_API_KEY": "your-api-key-here"
}
}
}
Setting Up with Claude Code
Add certctl as an MCP server in your project's .mcp.json:
{
"mcpServers": {
"certctl": {
"command": "/path/to/certctl-mcp",
"env": {
"CERTCTL_SERVER_URL": "https://localhost:8443",
"CERTCTL_SERVER_CA_BUNDLE_PATH": "/path/to/certctl/deploy/test/certs/ca.crt",
"CERTCTL_API_KEY": "your-api-key-here"
}
}
}
}
Available Tools
The MCP server exposes the full REST API organized across 16 resource domains:
| Domain | Tools | Examples |
|---|---|---|
| Certificates | 9 | List, get, create, update, archive, versions, renew, deploy, revoke |
| CRL & OCSP | 3 | Get JSON CRL, get DER CRL by issuer, check OCSP status |
| Issuers | 6 | List, get, create, update, delete, test connection |
| Targets | 5 | List, get, create, update, delete |
| Agents | 8 | List, get, register, heartbeat, CSR submit, certificate pickup, get work, report job status |
| Jobs | 5 | List, get, cancel, approve, reject |
| Policies | 6 | List, get, create, update, delete, list violations |
| Profiles | 5 | List, get, create, update, delete |
| Teams | 5 | List, get, create, update, delete |
| Owners | 5 | List, get, create, update, delete |
| Agent Groups | 6 | List, get, create, update, delete, list members |
| Audit | 2 | List events (with filters), get event by ID |
| Notifications | 3 | List, get, mark as read |
| Stats | 5 | Summary, certs by status, expiration timeline, job trends, issuance rate |
| Metrics | 1 | System metrics (gauges, counters, uptime) |
| Health | 4 | Health check, readiness probe, auth info, auth check |
Every tool has typed input parameters with jsonschema descriptions, so the AI knows exactly what arguments to provide and what each field means.
Example Conversations
Once configured, you can interact with certctl through natural language:
"Show me all certificates expiring in the next 14 days"
The AI calls certctl_list_certificates with status=Expiring and interprets the results.
"Renew the API production certificate"
The AI calls certctl_trigger_renewal with id=mc-api-prod.
"Who owns the payments gateway cert?"
The AI calls certctl_get_certificate with id=mc-payments-prod and reads the owner_id and team_id fields.
"Are any agents offline?"
The AI calls certctl_list_agents and checks the heartbeat timestamps.
"Revoke the old VPN cert — the key was compromised"
The AI calls certctl_revoke_certificate with id=mc-vpn-old and reason=keyCompromise.
"Give me a summary of the certificate fleet"
The AI calls certctl_dashboard_summary for aggregate stats, then optionally certctl_certificates_by_status for the breakdown.
"Create a new cert for staging.api.example.com owned by the platform team"
The AI calls certctl_create_certificate with the common name, team ID, and owner ID.
Architecture
flowchart LR
AI["AI Assistant\n(Claude, Cursor)"]
MCP["certctl MCP\ncmd/mcp-server/"]
SERVER["certctl Server\n:8443"]
AI <-->|"stdio"| MCP
MCP -->|"HTTP + Bearer token"| SERVER
MCP ~~~ TOOLS["REST API via MCP · 16 domains\nTyped input structs"]
The MCP server is intentionally thin:
- No state — every request is a pass-through HTTP call. Restart it anytime.
- No new auth — uses the same API key as the REST API.
- No new dependencies — just the official MCP Go SDK (
modelcontextprotocol/go-sdk). - No new attack surface — the AI can only do what the API key allows.
Security Considerations
The MCP server inherits the security properties of the REST API:
- API key scoping: The MCP server uses whatever API key you configure. If certctl gets API key scoping in a future release (per-resource or per-action permissions), the MCP server will automatically respect those restrictions.
- Audit trail: Every tool call results in an HTTP request that's logged in the API audit middleware — actor, method, path, status, and latency are all recorded.
- Read-only usage: For read-only AI access, you could configure a restricted API key (when key scoping ships). Until then, be aware that the AI can call write endpoints (create, update, delete, revoke) if the API key permits it.
- No private key exposure: The MCP server never sees or transmits private keys — the same architectural guarantee as the REST API.
Troubleshooting
"MCP server not connecting"
Check that CERTCTL_SERVER_URL is reachable from where the MCP binary runs. Try curl $CERTCTL_SERVER_URL/health to verify.
"401 Unauthorized on every tool call"
Your CERTCTL_API_KEY is missing or wrong. Check the key matches what the certctl server expects.
"Tool calls return empty results"
The certctl server might have no data. Run the demo seed (docker compose up) to populate demo data, or check that your database has records.
What's Next
- Quick Start — Get certctl running locally
- OpenAPI Spec — Full API reference and SDK generation
- Architecture — System design deep dive
- Concepts — Certificate lifecycle fundamentals