AI Workbench MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| workbench_open_runC | Create a Workbench run folder and initial evidence artifacts. |
| workbench_select_modelC | Select a Workbench model tier and write model_selection.json. |
| workbench_select_policy_packB | Recommend an advisory Workbench policy pack from task metadata. |
| workbench_record_executionC | Capture Goose/model response text into Workbench evidence artifacts. |
| workbench_validate_runC | Run deterministic Workbench validation over a run directory. |
| workbench_quality_gateD | Run the Workbench quality gate for a run directory. |
| workbench_analyze_runsB | Analyze local Workbench run ledgers and write report artifacts. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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