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Schedule agent work and report write-once outcomes via CueAPI from any MCP host.
Schedule agent work and report write-once outcomes via CueAPI from any MCP host.
Valid MCP server (2 strong, 3 medium validity signals). 1 code issue detected. 4 known CVEs in dependencies (1 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: CUEAPI_API_KEY
Environment variable: CUEAPI_BASE_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-cueapi-mcp": {
"env": {
"CUEAPI_API_KEY": "your-cueapi-api-key-here",
"CUEAPI_BASE_URL": "your-cueapi-base-url-here"
},
"args": [
"-y",
"@cueapi/mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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_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_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.
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