MCP Task
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| run_taskA | Start a complex AI task. Perform advanced reasoning and analysis with state of the art LLMs. Start multiple tasks at once by using an array for model. Returns a task ID immediately (or batch ID for multiple models) to check status and retrieve results. |
| check_task_statusA | Check the status of a running task. Returns current status, progress, and partial results if available. |
| get_task_resultB | Get the final result of a completed task. |
| cancel_taskA | Cancel a pending or running task, or all tasks in a batch. |
| wait_for_taskA | Wait for a task or any task in a batch to complete, fail, or be cancelled. Only waits for tasks that complete AFTER this call is made - ignores tasks that were already completed. |
| list_tasksB | List all tasks with their current status. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| solve | Solve a complicated problem with multiple state-of-the-art LLMs |
| plan | Create a comprehensive plan using multiple state-of-the-art LLMs working in parallel |
| code | Generate or modify code using a state-of-the-art coding LLM |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |