The GitHub Actions MCP Server provides an interface for AI assistants to interact with GitHub Actions workflows through a Model Context Protocol (MCP) server. It enables complete workflow management, detailed analysis, and secure operations across multiple AI coding platforms.
Clone the repository and build the server:
git clone https://github.com/ko1ynnky/github-actions-mcp-server.git
cd github-actions-mcp-server
npm install
npm run build
On Windows systems, you can use either of these methods:
git clone https://github.com/ko1ynnky/github-actions-mcp-server.git
cd github-actions-mcp-server
npm install
npm run build:win
Or use the included batch file:
run-server.bat [optional-github-token]
For full functionality, you need to set your GitHub Personal Access Token:
On Unix/Linux/macOS:
export GITHUB_PERSONAL_ACCESS_TOKEN=your_github_token_here
On Windows:
set GITHUB_PERSONAL_ACCESS_TOKEN=your_github_token_here
Or pass it as a parameter to the Windows batch file:
run-server.bat your_github_token_here
Add the following to your claude_desktop_config.json
:
{
"mcpServers": {
"github-actions": {
"command": "node",
"args": [
"<path-to-mcp-server>/dist/index.js"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
Add this configuration to your MCP config file (typically at ~/.codeium/windsurf/mcp_config.json
on Unix-based systems or %USERPROFILE%\.codeium\windsurf\mcp_config.json
on Windows):
{
"mcpServers": {
"github-actions": {
"command": "node",
"args": [
"<path-to-mcp-server>/dist/index.js"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
const result = await listWorkflows({
owner: "your-username",
repo: "your-repository",
page: 1, // Optional
perPage: 30 // Optional
});
const result = await getWorkflow({
owner: "your-username",
repo: "your-repository",
workflowId: "ci.yml" // Can be ID number or filename
});
const result = await getWorkflowUsage({
owner: "your-username",
repo: "your-repository",
workflowId: "ci.yml"
});
const result = await listWorkflowRuns({
owner: "your-username",
repo: "your-repository",
workflowId: "ci.yml", // Optional
actor: "username", // Optional
branch: "main", // Optional
status: "completed", // Optional
event: "push" // Optional
});
const result = await getWorkflowRun({
owner: "your-username",
repo: "your-repository",
runId: 123456789
});
const result = await getWorkflowRunJobs({
owner: "your-username",
repo: "your-repository",
runId: 123456789,
filter: "latest" // Optional: 'latest' or 'all'
});
const result = await triggerWorkflow({
owner: "your-username",
repo: "your-repository",
workflowId: "ci.yml",
ref: "main",
inputs: {
environment: "production",
debug: "true"
}
});
const result = await cancelWorkflowRun({
owner: "your-username",
repo: "your-repository",
runId: 123456789
});
const result = await rerunWorkflow({
owner: "your-username",
repo: "your-repository",
runId: 123456789
});
Authentication Errors
Rate Limiting
Type Validation Errors
Windows-Specific Issues
npm install -g typescript
node --version
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.