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Glama
Sunwood-ai-labs

GitHub Kanban MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_issuesC

カンバンボードのissue一覧を取得します

create_issueC

新しいissueを作成します

update_issueC

既存のissueを更新します

add_commentB

タスクにコメントを追加

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 4 tools

Disambiguation5/5

Each tool targets a distinct operation: listing, creating, updating, or commenting on issues. No two tools overlap in purpose, so an agent can clearly distinguish them.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (list_issues, create_issue, update_issue, add_comment). The verbs are clear and predictable.

Tool Count5/5

With 4 tools, the server is tightly scoped to core Kanban board operations. Every tool serves a necessary function without redundancy or bloat.

Completeness4/5

The basic lifecycle of issues is covered (list, create, update, comment). Missing operations like deleting or archiving issues are a minor gap since GitHub issues are typically closed rather than deleted, but board-specific transitions are not explicitly exposed.

Maintenance

ActivityInactive
ResponsivenessNo issues