# MCP reference

Source: https://redcrown.ai/docs/reference/mcp/

Every RedCrown MCP tool at mcp.redcrown.ai.

## Core tools

| Tool | Description |
| --- | --- |
| `prove_task` | Benchmark every model on a task and return the cheapest one that's good enough, with a shareable proof link. Pass a plain-language task and a few examples ({input, output?}); leave the output blank to rank against the model you use now. For a no-input demo, use try_sample. |
| `try_sample` | Run a benchmark on a public sample dataset and return a shareable proof, no input, no keys, no account. Great for a quick demo. Optional task (default: transcribe). |
| `import_results` | Turn an eval you already ran (in any harness or the redcrown CLI) into a ranked, shareable run. Pass the aggregate results object (name, objective, quality_metric, quality_bar, step, candidates[, references]). Returns the experiment and run ids. |
| `get_run` | Get an experiment run and its ranked report by run id. |
| `get_report` | Alias of get_run: fetch the ranked proof report for a run id. |

## Advanced tools

| Tool | Description |
| --- | --- |
| `list_models` | List available providers and models, including free no-key models. |
| `list_experiments` | List the caller's experiments. |
| `create_experiment` | Create an experiment from a full definition (name, objective, quality_metric, quality_bar, reference_source, allowed_providers, pipeline, dataset). Most callers should use prove_task instead. |
| `run_experiment` | Queue a run of an experiment by id; returns the run id to poll with get_report. |
| `scaffold_experiment` | Turn a plain-language task into a valid experiment spec ready for create_experiment. (prove_task does this for you.) |
| `simulate_cost` | Estimate projected hosted-API and self-hosted (per cloud) cost for a model and token counts. |
| `setup_proxy` | Create a proxied endpoint that captures live traffic for shadow evaluation. Returns the endpoint key and forward URL. |
| `list_proxies` | List all proxied endpoints for the caller's workspace. |
| `replay_captures` | Replay captured traffic through the shadow eval engine for a proxied endpoint. |
| `create_review` | Create a human-review session for a proxied endpoint's captures. |
| `invite_reviewer` | Invite a reviewer to a review session. Returns a one-time token; the link is https://app.redcrown.ai/review/<token>. |
| `get_review_examples` | Get the candidate outputs for a captured request, ready for human review. |
| `get_decision_report` | Get the aggregated decision report for a review session, including reviewer verdicts and the recommended winner. |
Generated from source. Last verified 2026-07-02.