Verity
by johnnyryan
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CONSULT_DUAL | No | Set to '0' to disable dual-GPU second-opinion path | 1 |
| WORKER_MODEL | No | Model ID for the cloud worker | |
| CRITIC_A_MODEL | No | Model name for Critic A | |
| CRITIC_B_MODEL | No | Model name for Critic B | |
| WORKER_API_KEY | No | API key for the cloud worker | |
| WORKER_ENDPOINT | No | Base URL for a cloud model worker, e.g. https://api.openai.com/v1 | |
| CRITIC_TIMEOUT_MS | No | Timeout in milliseconds for critic LLM calls | 45000 |
| WORKER_MODEL_NAME | No | Model name of the primary LLM (worker) as used in LM Studio or backend | |
| PIPELINE_TIMEOUT_MS | No | Timeout for the entire verification pipeline | 135000 |
| FAIL_SEVERITY_THRESHOLD | No | Threshold for fail severity | |
| MAX_UNAVAILABLE_CRITICS | No | Maximum number of critics allowed to be unavailable | 0 |
| WARN_SEVERITY_THRESHOLD | No | Threshold for warn severity |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/johnnyryan/Verity'
If you have feedback or need assistance with the MCP directory API, please join our Discord server