MCP server · Alice Bob

alice--bob-mcp.yml

A CANDIDATE tool surface, not a real one. This file records what an MCP server over the Felis Cloud API would expose if Alice & Bob built one, derived one-to-one from the published OpenAPI operations. No `MCPServer` pointer is wired into apis.yml, because no server exists — wiring one would credit Alice & Bob with an agent surface it does not have.

View descriptor → Alice Bob provider profile

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⚠ Proposed MCP surface. No official hosted MCP server was found for Alice Bob. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Alice Bob publishes an official server, this page will update to it on the next build.

Provider: Alice Bob Type: Candidate descriptor Transport: Host: raw.githubusercontent.com

Descriptor

https://raw.githubusercontent.com/api-evangelist/alice--bob/refs/heads/main/mcp/alice--bob-mcp.yml

Candidate descriptor · transport

Tools

list_targets — List the emulator and QPU backends available, with qubit count, supported instructions and tunable input parameters.
get_target_status — Get a target's current status: OK, NOK or OFF.
list_target_availabilities — List the latest planned availability entries for a target.
create_job — Create a job against a target, declaring input format (HUMAN_QIR), output format (HISTOGRAM) and per-target input parameters.
upload_job_input — Upload the QIR circuit for a job
get_job — Get a job with its event history and any errors.
list_jobs — List the caller's active and completed jobs (page/limit).
cancel_job — Cancel an active job.
download_job_output — Download the measurement histogram for a completed job.
download_job_memory — Download per-shot measurement results.
download_job_transpiled — Download the QIR as transpiled to the target's gate set.
download_job_input — Download the QIR as originally submitted.
get_job_metrics — Get qpu_duration_ns and simulation_duration_ns for a job.
check_health — Check that the Felis Cloud API is up.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

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