GitHub Actions 統合用のモデル コンテキスト プロトコル サーバー。
これは、GitHub Actions との統合用に設計された TypeScript ベースの MCP サーバーです。以下の機能を提供します。
リポジトリから利用可能な GitHub Actions を取得するためのツール
特定のGitHubアクションに関する詳細情報を取得するためのツール
GitHub ワークフロー ディスパッチ イベントをトリガーするためのツール
GitHub リポジトリから最新のリリースを取得するためのツール
Related MCP server: GitHub MCP Server
get_github_actions - リポジトリで利用可能な GitHub Actions を取得する
必須パラメータ: owner (リポジトリの所有者、ユーザー名または組織) およびrepo (リポジトリ名)
オプションパラメータ: token (GitHub 個人アクセストークン、プライベートリポジトリへのアクセスや API レート制限の増加に使用)
ワークフローID、名前、パス、状態、URL、コンテンツを含むJSONデータを返します。
get_github_action - 入力やその要件など、特定の GitHub Action に関する詳細情報を取得します。
必須パラメータ: owner (アクションの所有者、ユーザー名または組織) およびrepo (アクションのリポジトリ名)
オプションパラメータ:
path : アクション定義ファイルへのパス (デフォルト: 'action.yml')
ref : Git 参照 (ブランチ、タグ、またはコミット SHA、デフォルト: 'main')
token : GitHub個人アクセストークン（オプション）
名前、説明、作成者、入力（および必須かどうか）など、アクションに関する詳細情報を返します。
trigger_github_action - GitHubワークフローをトリガーし、関連するパラメータを渡す
必須パラメータ:
owner : リポジトリの所有者（ユーザー名または組織）
repo : リポジトリ名
workflow_id : トリガーするワークフローのIDまたはファイル名
オプションパラメータ:
ref : ワークフローをトリガーする git 参照 (デフォルト: 'main')
inputs : ワークフローに渡す入力（ワークフローの定義済み入力と一致する必要があります）
token : GitHub 個人アクセストークン (ワークフロースコープが必要です)
ステータス、URL などを含むワークフロー実行情報を返します。
get_github_release - GitHub リポジトリから最新の 2 つのリリースを取得します
必須パラメータ: owner (リポジトリの所有者、ユーザー名または組織) およびrepo (リポジトリ名)
オプションパラメータ: token (GitHub 個人アクセストークン、オプション)
最新の2つのリリースに関する情報を返します
インストールして使用する最も簡単な方法は、手動でローカルにインストールせずに、Claude Desktop 構成ファイルでnpxコマンドを使用することです。
{
"mcpServers": {
"github-action-trigger-mcp": {
"command": "npx",
"args": [
"-y",
"@nextdrive/github-action-trigger-mcp"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your_github_token_here"
}
}
}
}この方法の利点:
ローカルパッケージのインストールは不要
最新バージョンを自動的に使用します
一度設定すればすぐに使用可能
組み込みのGitHubトークン設定
手動でインストールする場合は、次の手順に従ってください。
パッケージをインストールします。
npm install -g @nextdrive/github-action-trigger-mcpClaude Desktop 構成での使用:
MacOS の場合: ~/Library/Application Support/Claude/claude_desktop_config.json Windows の場合: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"github-action-trigger-mcp": {
"command": "@nextdrive/github-action-trigger-mcp",
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your_github_token_here"
}
}
}
}GitHub API（特にプライベートリポジトリやワークフロートリガー）にアクセスするには、GitHub個人アクセストークンを設定する必要があります。設定方法はいくつかあります。
Claude Desktop 構成ファイルのenvフィールドを使用してトークンを直接設定します。
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your_github_token_here"
}GITHUB_TOKEN環境変数を設定します。
# On Linux/MacOS
export GITHUB_TOKEN=your_github_token
# On Windows
set GITHUB_TOKEN=your_github_token設定ファイルを編集します。
~/.nextdrive-github-action-trigger-mcp/config.jsonGitHub トークンを設定します。
{
"githubToken": "your_github_token"
}この構成ファイルのテンプレートは、サーバーの初回起動時に自動的に作成されます。
依存関係をインストールします:
npm installサーバーを構築します。
npm run build開発中の自動再構築の場合:
npm run watchデバッグには MCP Inspector を使用します。
npm run inspectorインスペクターは、ブラウザでデバッグ ツールにアクセスするための URL を提供します。
このパッケージを npm に公開する場合は、次の手順に従ってください。
npm にログインしていること、および@nextdrive組織に公開する権限があることを確認してください。
npm loginプロジェクトをビルドします。
npm run buildnpm に公開します (組織スコープのパッケージはデフォルトでは非公開ですが、公開するには--access publicを使用します)。
npm publish --access public公開後は、誰でもnpx @nextdrive/github-action-trigger-mcpコマンドを使用してこのツールを実行したり、Claude Desktop 構成で使用したりできます。
リポジトリの GitHub Actions を取得するには、 get_github_actionsツールを使用してください。
{
"owner": "username-or-org",
"repo": "repository-name"
}デフォルトのトークンが設定されている場合は、プライベート リポジトリにアクセスするときに自動的に使用されます。
応答例:
[
{
"id": 12345678,
"name": "CI",
"path": ".github/workflows/ci.yml",
"state": "active",
"url": "https://github.com/owner/repo/actions/workflows/ci.yml",
"content": "name: CI\n\non:\n push:\n branches: [ main ]\n pull_request:\n branches: [ main ]\n\njobs:\n build:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n - name: Setup Node.js\n uses: actions/setup-node@v2\n with:\n node-version: 16.x\n - name: Install dependencies\n run: npm ci\n - name: Build\n run: npm run build\n - name: Test\n run: npm test\n"
}
]特定のアクションに関する詳細情報を取得するには、 get_github_actionツールを使用します。
{
"owner": "actions",
"repo": "checkout",
"ref": "v4"
}応答例:
{
"name": "Checkout",
"description": "Check out a Git repository at a particular version",
"author": "GitHub",
"inputs": [
{
"name": "repository",
"description": "Repository name with owner. For example, actions/checkout",
"default": "",
"required": false
},
{
"name": "ref",
"description": "The branch, tag or SHA to checkout.",
"default": "",
"required": false
}
],
"runs": {
"using": "node20",
"main": "dist/index.js"
}
}GitHub ワークフローをトリガーするには、 trigger_github_actionツールを使用してください。
{
"owner": "username-or-org",
"repo": "repository-name",
"workflow_id": "ci.yml",
"inputs": {
"deploy_environment": "production",
"debug_enabled": "true"
}
}応答例:
{
"success": true,
"message": "Workflow dispatch event triggered successfully",
"run": {
"id": 12345678,
"url": "https://github.com/owner/repo/actions/runs/12345678",
"status": "queued",
"conclusion": null,
"created_at": "2025-03-19T06:45:12Z",
"triggered_by": "API"
}
}注: ワークフローをトリガーするには以下が必要です。
ワークフローはworkflow_dispatchイベントをサポートするように設定する必要があります
GitHubトークンにはworkflowスコープ権限が必要です
渡される入力パラメータはワークフローで定義されたものと一致する必要があります
get_github_releaseツールを使用して、リポジトリから最新の 2 つのリリースを取得します。
{
"owner": "username-or-org",
"repo": "repository-name"
}応答例:
{
"count": 2,
"releases": [
{
"id": 12345678,
"name": "v1.0.0",
"tag_name": "v1.0.0",
"published_at": "2025-03-15T10:00:00Z",
"draft": false,
"prerelease": false,
"html_url": "https://github.com/owner/repo/releases/tag/v1.0.0",
"body": "Release notes for version 1.0.0",
"assets": [
{
"name": "app-v1.0.0.zip",
"size": 1234567,
"download_count": 42,
"browser_download_url": "https://github.com/owner/repo/releases/download/v1.0.0/app-v1.0.0.zip",
"created_at": "2025-03-15T10:05:00Z",
"updated_at": "2025-03-15T10:05:00Z"
}
],
"author": {
"login": "username",
"html_url": "https://github.com/username"
}
},
{
"id": 87654321,
"name": "v0.9.0",
"tag_name": "v0.9.0",
"published_at": "2025-03-01T10:00:00Z",
"draft": false,
"prerelease": true,
"html_url": "https://github.com/owner/repo/releases/tag/v0.9.0",
"body": "Pre-release notes for version 0.9.0",
"assets": [],
"author": {
"login": "username",
"html_url": "https://github.com/username"
}
}
]
}Enable auto-merge for a specific pull request. This will automatically merge the PR when all required checks pass.
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Owner of the repository (username or organization) | |
| repo | Yes | Name of the repository | |
| pull_number | Yes | The pull request number | |
| merge_method | No | The merge method to use when auto-merging (MERGE, SQUASH, or REBASE) | |
| token | No | GitHub personal access token (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While it states the tool enables auto-merge and describes the triggering condition, it lacks critical information about permissions needed, whether this is reversible, rate limits, error conditions, or what happens to existing auto-merge settings. For a mutation tool with zero annotation coverage, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly concise with two sentences that directly communicate the core functionality. Every word earns its place, and it's front-loaded with the main purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't address permissions, error handling, return values, or important behavioral details like whether this overrides existing settings or requires specific repository configurations. The context signals show this is a non-trivial operation (5 parameters, 3 required), warranting more comprehensive documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description doesn't add any parameter-specific information beyond what's in the schema, but it does provide context about the overall purpose that helps understand parameter usage. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Enable auto-merge') and the target resource ('for a specific pull request'), with additional detail about the automatic merging behavior when checks pass. It distinguishes itself from sibling tools (which are all read operations) by being a write/mutation tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It mentions the condition 'when all required checks pass' but doesn't specify what happens if checks fail or if there are other requirements like permissions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get detailed information about a specific GitHub Action, including inputs and their requirements
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Owner of the action (username or organization) | |
| repo | Yes | Repository name of the action | |
| path | No | Path to the action.yml or action.yaml file (usually just 'action.yml') | |
| ref | No | Git reference (branch, tag, or commit SHA, default: main) | |
| token | No | GitHub personal access token (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. It describes what information is returned but lacks details on permissions required (e.g., public vs. private repos), rate limits, error conditions, or response format. For a tool with no annotations, this leaves significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core functionality and includes a useful detail about inputs and requirements. Every part of the sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and no output schema, the description is minimally adequate for a read-only tool. It clarifies the scope (detailed info about a specific action) but doesn't address behavioral aspects like authentication needs or response structure. For a tool with 5 parameters and no structured safety hints, it should provide more context about usage constraints.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema (e.g., it doesn't clarify 'path' defaults or 'token' usage scenarios). Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get detailed information about a specific GitHub Action, including inputs and their requirements.' It specifies the verb ('Get') and resource ('GitHub Action') with additional detail about what information is retrieved. However, it doesn't explicitly differentiate from sibling tools like 'get_github_actions' (plural vs. singular).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_github_actions' (which likely lists multiple actions) or 'trigger_github_action' (which executes an action). There's no context about prerequisites, limitations, or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get available GitHub Actions for a repository
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Owner of the repository (username or organization) | |
| repo | Yes | Name of the repository | |
| token | No | GitHub personal access token (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, what authentication is required (though 'token' is optional in schema), rate limits, pagination, or what 'available' means (e.g., active vs. all actions). This leaves significant gaps for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a straightforward tool, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'available GitHub Actions' entails (e.g., list format, metadata included), authentication needs despite an optional token, or error handling. Given the complexity of GitHub APIs and sibling tools, more context is needed for reliable use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema itself. The description adds no additional meaning beyond implying the tool fetches actions for a repository, which aligns with the schema but doesn't enhance parameter understanding. Baseline 3 is appropriate given high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('GitHub Actions for a repository'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_github_action' (singular) or 'get_github_release', leaving some ambiguity about scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, constraints, or relationships with sibling tools like 'get_github_action' (singular) or 'trigger_github_action', leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get the latest 2 releases from a GitHub repository
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Owner of the repository (username or organization) | |
| repo | Yes | Name of the repository | |
| token | No | GitHub personal access token (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does but lacks critical details like whether it requires authentication (though the token parameter is optional in the schema), rate limits, error handling, or the format of returned data. This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence that efficiently conveys the core functionality without unnecessary words. It is front-loaded and appropriately sized for the tool's scope, making it easy to understand at a glance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of interacting with GitHub APIs, no annotations, and no output schema, the description is incomplete. It fails to address key aspects like authentication needs, rate limiting, error responses, or the structure of the release data returned, which are essential for effective tool usage in a real-world context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting all parameters (owner, repo, token). The description does not add any additional meaning or context beyond what the schema provides, such as explaining the 'latest 2 releases' constraint or token usage. Baseline 3 is appropriate as the schema handles parameter documentation adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('latest 2 releases from a GitHub repository'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_github_action' or 'get_github_actions', which focus on GitHub Actions rather than releases, so it misses full sibling distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, such as when to choose it over other GitHub-related tools or how it fits into broader workflows. There is no mention of prerequisites, exclusions, or contextual usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Trigger a GitHub workflow dispatch event with custom inputs
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Owner of the repository (username or organization) | |
| repo | Yes | Name of the repository | |
| workflow_id | Yes | The ID or filename of the workflow to trigger | |
| ref | No | The git reference to trigger the workflow on (default: main) | |
| inputs | No | Inputs to pass to the workflow (must match the workflow's defined inputs) | |
| token | No | GitHub personal access token (must have workflow scope) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'trigger' and 'custom inputs,' which implies a write operation, but lacks details on permissions required (beyond the token parameter), rate limits, whether the action is idempotent, what happens on failure, or the expected response format. This leaves significant gaps for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Trigger a GitHub workflow dispatch event') and adds necessary context ('with custom inputs'). There is no wasted verbiage, and it directly communicates the tool's function without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of triggering GitHub actions (a write operation with multiple parameters and no output schema), the description is insufficient. It lacks details on behavioral aspects like authentication needs, error handling, or response structure, which are critical for an agent to use the tool effectively. The high schema coverage helps with parameters, but overall completeness is poor due to missing operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, so the schema already documents all six parameters thoroughly. The description adds minimal value beyond implying that 'custom inputs' map to the 'inputs' parameter, but it doesn't provide additional syntax, format details, or constraints not covered in the schema. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('trigger') and resource ('GitHub workflow dispatch event') with additional context ('with custom inputs'). It distinguishes from sibling tools like 'get_github_action' or 'enable_pull_request_automerge' by focusing on initiating workflows rather than retrieving information or modifying settings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance is provided on when to use this tool versus alternatives. While it's implied for triggering workflows, there's no mention of prerequisites (e.g., needing a GitHub token with specific scopes), when not to use it (e.g., for manual triggers vs. automated ones), or how it differs from other workflow-related tools in the ecosystem.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v1.0.0enable_pull_request_automergeget_github_actionget_github_actionsget_github_releasetrigger_github_actionScored across 5 tools
Most tools have distinct purposes: enabling auto-merge, getting action details, listing available actions, fetching releases, and triggering actions. However, 'get_github_action' and 'get_github_actions' could be slightly confusing as they both retrieve action information but differ in scope (single vs. multiple). The descriptions clarify this, but the names are similar enough to cause potential misselection.
The naming follows a consistent verb_noun pattern with 'get', 'enable', and 'trigger' as verbs, all using snake_case. The only minor deviation is 'enable_pull_request_automerge' which includes a compound noun, but it still fits the overall style. This consistency makes the tools predictable and easy to understand.
With 5 tools, the count is well-scoped for a GitHub Action Trigger server, covering key operations like triggering actions, managing auto-merge, and retrieving related information. It's slightly lean but reasonable, as it focuses on core functionality without unnecessary bloat, though a few more tools might enhance coverage.
The toolset covers triggering actions and getting action/release info, but has notable gaps. For example, there's no way to disable auto-merge, manage action runs (e.g., cancel or list workflows), or handle other GitHub Actions lifecycle aspects like secrets or environments. This limits agents to basic triggering and info retrieval, with missing operations that could cause workarounds or failures.
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