@upon-ai/mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@upon-ai/mcp-serverdiscover my workspace and list the available agents"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
UponAI developer tools
@upon-ai/sdk and @upon-ai/mcp-server, owned by UponAI and licensed under MIT.
npm install @upon-ai/sdk@0.1.1SDK guide · MCP setup · Interactive API
This independent release repository consumes the reviewed customer OpenAPI contract. Internal application docs remain in the application repository. No administrative APIs or privileged impersonation headers are included.
Build and verify
Requires Node >=22.14. Use the pinned lockfile:
npm ci --ignore-scripts
npm run check
npm run pack:releaseGenerated sources are reproducible from contract/openapi.json and its explicit
policy. The SDK has 75 typed operations. MCP exposes 18 curated read operations
plus workspace discovery, and three separately enabled call-changing operations.
The MCP is a fresh implementation sharing this SDK. The earlier prototype was reviewed as a reference; its raw request escape hatch and dashboard phone tools are not carried into these packages. No third-party prototype source is copied.
Tests use isolated mock API responses and a real MCP protocol client. Live customer-workspace integration is a separate release gate; a passing local test suite is not evidence that all API operations work in production.
This server cannot be deployed
Maintenance
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Discover and call 10,000+ production APIs from one MCP server. Pay-per-call billing for AI agents.
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