Schema | MCP Tasks

MCP Tasks

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
tasks_setupA	Initializes an source file from a path Always call once per conversation when asked to use these tools Ask the user to clarify the file path if not given, before calling this tool Creates the file if it does not exist Returns the source ID for further use Use mcp-tasks tools when the user mentions new or updated tasks
tasks_searchB	Search tasks from specific statuses with optional text & ID filtering
tasks_addB	Add new tasks with a specific status. It's faster and cheaper if you use this in batch. User can add atomically while AI works using the CLI add tool
tasks_updateA	Update tasks in bulk by ID to a different status. Returns complete summary no need to call tasks_summary afterwards. Prevents AI accidentally rename or deleting tasks during mass updates, not even possible
tasks_summaryA	Get per-status task counts and the WIP task(s). Redundant right after tasks_add/tasks_update

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/flesler/mcp-tasks'

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