Endpoint:
https://mcp.enokilabs.ai/mcp (streamable HTTP).Prerequisites
- An Enoki workspace (you sign in at app.enokilabs.ai).
- A workspace API key with the
readandwritescopes — andtest:runif you want your agent to trigger assessments. See API keys & scopes for how to mint one (workspace admins only). Keys look likeegk_…and are shown once.
Connect your client
Authenticate with your API key as a Bearer token. Pick your client:- Claude Code
- Cursor
- VS Code / other
- claude.ai (web)
One command — Verify with
--scope user makes the server available in every project, not
just the current one:claude mcp list (or /mcp inside a session). The tools appear as
mcp__enoki__get_setup_guide, mcp__enoki__create_target, and so on.Register your first target
A “target” is one of your agent endpoints, registered so Enoki can test it. Your agent builds the connection config from your target’s own API docs — the server ships aget_setup_guide tool with the full, always-current field
reference and worked examples, so start there.
1
Read the setup guide
Call
get_setup_guide. It returns the config field reference (generated
from the live schema, so it never drifts), the semantics the schema can’t
express (response dot-paths, request-body templating, streaming modes, session
capture), and worked examples for HTTP, SSE-streaming, and WebSocket endpoints.2
Check for duplicates
Call
list_targets before creating. Creates are not deduplicated: a
matching name and endpoint_host in the same environment is the same target —
reuse its model_id. If only one matches, ask before creating a second.3
Create the target
Call
create_target with the config you built. It is atomic
prove-then-persist: Enoki fires one live probe and only saves the target if the
probe succeeds. A failed probe saves nothing and returns a categorized error so
you can fix and retry:unreachable— DNS, connection, or timeout: check the endpoint URL.auth_failed— the target refused authentication: check the auth type and credential.parse_error— a reply arrived but the response field matched nothing: fix the dot-path.
create_target again. There’s no update or delete over MCP —
change stored targets in the dashboard. The response never echoes your config or
credential.4
Run an assessment
On success you get a
model_id. Hand it to trigger_assessment to start a
run, then poll get_assessment_status. Read results with list_findings
and get_finding. See the MCP tool reference for the full surface.What’s next
MCP tool reference
Every tool, its inputs and outputs, and the scope each requires.
Troubleshooting
Probe error categories, auth failures (401/403), and rate limits.