agent-gpu-pool
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 |
|---|---|
| pool_overviewB | Show worker capacities separately and durable job counts. |
| list_workersA | List normalized worker capabilities without credential profiles. |
| sync_quotasB | Refresh authoritative provider quotas; unknown is not zero. |
| submit_jobC | Persist an experiment and return its job ID quickly; existing project policy controls dispatch. |
| get_jobC | Recover durable job state across agent sessions and broker restarts. |
| list_jobsC | List persistent jobs with pagination. |
| cancel_jobB | Request cancellation; status changes only when confirmed by the worker. |
| get_job_logsC | Bounded logs; offset counts backwards from the end of the available log window. |
| list_ready_resultsB | Discover finalized results from earlier sessions; check status before interpreting. |
| list_artifactsB | Return canonical paths, sizes, and hashes before reading content. |
| fetch_artifactC | Verify artifact hash and return its local path; content requires explicit true and is bounded. |
| record_experiment_resultD | Attach scientific interpretation separately from immutable infrastructure artifacts. |
| get_project_runsB | Return runs and recorded conclusions for a project. |
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
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- 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/HarrisonYangKuang/agent-gpu-pool'
If you have feedback or need assistance with the MCP directory API, please join our Discord server