Schema | mcp-teamline

mcp-teamline

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
teamline_auth_testA	Verify TEAMLINE_API_KEY against Teamline auth.test and return the authenticated user (id, name, email). Takes no arguments; the API token is read only from the environment.
teamline_tasks_listA	List Teamline tasks via tasks.list. Optional filters: limit, channel (#name or slackId), list (~name or id; channel required if list is set), user (@name, email, or slackId), complete (true = only completed). If channel and user are omitted, the API defaults to yourself. Token is read only from TEAMLINE_API_KEY.
teamline_tasks_createA	Create a Teamline task via tasks.create. name is required. Optional: description, assign (string[] of @name/email/slackId), channel (#name or slackId), list (~name or id; channel required if list is set), personal (boolean), due (ISO8601 or human string), notify (string[]). Token is read only from TEAMLINE_API_KEY.
teamline_tasks_completeA	Mark a Teamline task complete via tasks.complete. Requires task (id string). Token is read only from TEAMLINE_API_KEY.
teamline_webhooks_createA	Register a user-provided URL via webhooks.create. Official event is currently only tasks_completed. url is required; name is optional. This server registers the URL; the MCP stdio process does not receive Teamline POSTs. Token is read only from TEAMLINE_API_KEY.
teamline_webhooks_removeA	Remove a Teamline webhook via webhooks.remove. Requires hook (id string). Token is read only from TEAMLINE_API_KEY.

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/aroy314/mcp-teamline'

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