Generate beautiful GitHub release notes with organized commits, statistics, and markdown formatting for your MCP server
The Release Notes Server is an advanced MCP server designed to generate detailed and user-friendly release notes directly from GitHub repositories. It leverages Model Context Protocol (MCP) to integrate seamlessly with various AI applications, providing a powerful toolset for software development teams.
This server offers several core capabilities that make it an essential component in the AI ecosystem:
since
parameter.since
parameter where possible to minimize the number of API calls.These features allow AI applications to dynamically generate release notes that reflect the latest developments in a repository, providing insights and summaries directly within their user interface.
The Release Notes Server adheres to the Model Context Protocol (MCP) standards for seamless integration. It includes a robust implementation that ensures compatibility with various AI clients such as Claude Desktop, Continue, Cursor, etc. The server's structure is designed to handle complex workflows and provide real-time data updates.
The following diagram illustrates the flow of data between an AI application using MCP, the Release Notes Server, and its underlying data source (GitHub):
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
The following table provides a compatibility matrix for the Release Notes Server with various MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
To set up the Release Notes Server, follow these installation steps:
npm install
npm run build
In an AI-powered code review tool, the Release Notes Server can be integrated to automatically generate and update release notes for developers. This integration ensures that developers are always aware of new features and bug fixes, enhancing their workflow.
const result = await use_mcp_tool({
server_name: "release-notes",
tool_name: "generate_release_notes",
arguments: {
owner: "owner",
repo: "repo",
commitRange: {
fromCommit: "abc123"
},
format: {
type: "markdown",
groupBy: "type",
includeStats: true
}
}
});
For continuous integration systems, the Release Notes Server can be used to generate release notes directly from commit logs. This not only streamlines the deployment process but also provides clarity on changes being deployed.
The following example configures an AI client like Claude Desktop to use the Release Notes Server through MCP:
{
"mcpServers": {
"release-notes": {
"command": "node",
"args": ["/path/to/release-notes-server/build/index.js"],
"env": {
"GITHUB_TOKEN": "your-github-token"
}
}
}
}
The Release Notes Server is optimized for performance and compatibility with various GitHub repositories. It handles large datasets efficiently by fetching commits based on date ranges or SHAs using the since
parameter.
Here’s a more detailed look at how to configure the Release Notes Server:
{
"mcpServers": {
"release-notes": {
"command": "node",
"args": ["/path/to/release-notes-server/build/index.js"],
"env": {
"GITHUB_TOKEN": "your-github-token"
}
}
}
}
For advanced configuration, users can customize the server by modifying its build scripts and environment variables. Key security measures include:
Q: How does the Release Notes Server ensure data security?
Q: Is there a limit on the number of API requests per month?
Q: Can I customize the commit grouping logic?
Q: How frequently does the server update release notes?
since
parameter usage and scheduled tasks configured by the user, ensuring fresh data at all times.Q: What if I face issues with API rate limits exceeded?
git clone https://github.com/modelcontextprotocol/release-notes-server.git
npm install
npm run build
and then node path/to/build/index.js
GITHUB_TOKEN
.For more information on Model Context Protocol and its applications, refer to the official documentation and community forums. The MPL project also offers a suite of tools and services to enhance AI-driven workflows.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD
A[GitHub API]--->B[MCP Server]
B-->>C[Database/MongoDB]
C-->D[Cache/Memcached]
D-->>E[Data Renderer]
F[MCP Client]-->B
By following these guidelines, developers can leverage the Release Notes Server to enhance their AI applications with robust release note generation capabilities.
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