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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENYesYour GitHub token with repo, workflow, issues, and pull_requests permissions
ANTHROPIC_API_KEYYesYour Anthropic API key
GITHUB_REPOSITORYYesGitHub repository in owner/repo format
GITHUB_REPOSITORY_PATHYesAbsolute path to your repository

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

NameDescription
agentic_codegen_executeC

CodeGenAgent実行 - AI駆動コード生成・テスト自動生成

agentic_review_executeC

ReviewAgent実行 - 静的解析・セキュリティスキャン・品質判定

agentic_issue_analyzeC

IssueAgent実行 - Issue内容AI分析・Label自動付与

agentic_pr_createC

PRAgent実行 - PR自動作成・説明文AI生成

agentic_coordinator_decomposeC

CoordinatorAgent実行 - タスク分解(DAG構築)・Agent選定

agentic_kpi_collectC

KPI収集・ダッシュボード生成

agentic_metrics_viewC

識学理論KPIダッシュボード表示

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 7 tools

Disambiguation4/5

Most tools have distinct purposes targeting different aspects of agentic workflows (code generation, task decomposition, issue analysis, KPI collection, PR creation, and code review). However, 'agentic_kpi_collect' and 'agentic_metrics_view' have some potential overlap around KPI/dashboard functionality that could cause minor confusion.

Naming Consistency5/5

All tools follow a perfectly consistent 'agentic_[domain]_[action]' naming pattern with underscores. The structure is predictable and uniform across all seven tools, making them easy to parse and understand as a set.

Tool Count5/5

Seven tools is an appropriate number for an agentic workflow server covering code generation, task coordination, issue management, metrics, and PR/review operations. Each tool appears to serve a distinct role without being overwhelming or insufficient for the domain.

Completeness4/5

The toolset covers key agentic workflow areas well: code generation, task decomposition, issue analysis, metrics collection/display, PR creation, and code review. A minor gap exists in lifecycle coverage—there's no tool for updating or managing existing PRs/issues beyond creation and review, but agents can likely work around this.