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@cueapi/mcp
Advanced tools
Official Model Context Protocol (MCP) server for CueAPI — give your AI agent a scheduler and verification gate. Open-source execution accountability primitive for AI agents.
Official Model Context Protocol server for CueAPI, the open-source coordination layer for AI agent systems.
Give your MCP-enabled assistant (Claude Desktop, Cursor, Zed, or any other MCP host) the ability to schedule agent work, fetch execution history, and close the loop with evidence-backed outcome reports, all from inside a conversation.
Agents don't finish in one call. They coordinate across time, tools, environments, agents, and humans. Every handoff is a place where silent failure hides. CueAPI closes each handoff with structured evidence: an external ID, a result URL, or an artifact. This MCP server gives the agent direct access to that surface, so the agent can both schedule its own follow-up work and report outcomes with proof.
npm install -g @cueapi/mcp
# or use via npx (no install):
npx -y @cueapi/mcp
Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"cueapi": {
"command": "npx",
"args": ["-y", "@cueapi/mcp"],
"env": {
"CUEAPI_API_KEY": "cue_sk_..."
}
}
}
}
Generate your API key at cueapi.ai. Self-hosting? Set CUEAPI_BASE_URL alongside CUEAPI_API_KEY.
Any MCP host that supports stdio servers can run this. Point the host at the cueapi-mcp binary and pass CUEAPI_API_KEY in the environment.
| Tool | What it does |
|---|---|
cueapi_create_cue | Create a recurring (cron) or one-time (at) cue |
cueapi_list_cues | List cues, filter by status |
cueapi_get_cue | Fetch details for a single cue |
cueapi_fire_cue | Fire an existing cue immediately, optional payload override |
cueapi_pause_cue | Pause a cue so it stops firing |
cueapi_resume_cue | Resume a paused cue |
cueapi_delete_cue | Delete a cue permanently |
cueapi_list_executions | List historical executions, filter by cue/status |
cueapi_report_outcome | Report write-once outcome with evidence (external ID / URL) |
You: Schedule a daily 9am job that posts a digest to my webhook.
Assistant (uses
cueapi_create_cue): Created cuecue_abc123, first fire tomorrow at 9:00 UTC.You: Show me the last five times it ran.
Assistant (uses
cueapi_list_executions): ...
npm install
npm test # vitest smoke tests for the tool surface
npm run build # compile TypeScript to dist/
npm run dev # run the server locally with tsx
cueapi_fire_cue tool: fire an existing cue immediately with an optional payload_override (and merge_strategy: 'merge' | 'replace', default 'merge'). Wraps POST /v1/cues/{id}/fire. Lets agents trigger ad-hoc one-shot executions without creating throwaway cues, and lets per-fire dynamic data flow through to webhook dispatch + worker-claim responses without mutating the stored cue.cueapi_pause_cue / cueapi_resume_cue to use PATCH /v1/cues/{id} with {"status": "paused" | "active"} (previously called non-existent /pause and /resume endpoints, returning a runtime 404). PR #1. This is the release that actually contains the fix; 0.1.3 was published prematurely with this note but without the merged code.MIT © Vector Apps Inc.
FAQs
Official Model Context Protocol (MCP) server for CueAPI — give your AI agent a scheduler and verification gate. Open-source execution accountability primitive for AI agents.
The npm package @cueapi/mcp receives a total of 94 weekly downloads. As such, @cueapi/mcp popularity was classified as not popular.
We found that @cueapi/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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