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DCR MCP Server

DCR MCP Server - An MCP server implementation using mcp-go

#mcp#server
Created by cybersiddhu2025/03/27
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What is DCR MCP Server?

what is DCR MCP Server? DCR MCP Server is a simple implementation of a Model Control Protocol (MCP) server using the mcp-go library, designed to facilitate the management and analysis of git commit messages. how to use DCR MCP Server? To use the DCR MCP Server, ensure you have Go 1.23 or later installed, then run the server with the command go run cmd/server/main.go. The server will start on port 8080 by default, which can be changed using the DCR_MCP_PORT environment variable. key features of DCR MCP Server? Basic MCP server implementation Git Summary tool for analyzing commit messages Clone git repositories and filter commits by date and author Generate human-readable summaries of commit messages using OpenAI use cases of DCR MCP Server? Analyzing commit history for project documentation. Generating summaries for team retrospectives. Filtering commits to focus on specific contributions from team members. FAQ from DCR MCP Server? What is the purpose of the Git Summary tool? The Git Summary tool helps in generating concise summaries of git commit messages, making it easier to understand changes over time. How do I filter commits? You can filter commits by specifying the author name and date range in the tool's parameters. Is there a way to change the server's port? Yes, you can change the port by setting the DCR_MCP_PORT environment variable before running the server.

As an MCP (Model Context Protocol) server, DCR MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use DCR MCP Server

To use the DCR MCP Server, ensure you have Go 1.23 or later installed, then run the server with the command go run cmd/server/main.go. The server will start on port 8080 by default, which can be changed using the DCR_MCP_PORT environment variable. key features of DCR MCP Server? Basic MCP server implementation Git Summary tool for analyzing commit messages Clone git repositories and filter commits by date and author Generate human-readable summaries of commit messages using OpenAI use cases of DCR MCP Server? Analyzing commit history for project documentation. Generating summaries for team retrospectives. Filtering commits to focus on specific contributions from team members. FAQ from DCR MCP Server? What is the purpose of the Git Summary tool? The Git Summary tool helps in generating concise summaries of git commit messages, making it easier to understand changes over time. How do I filter commits? You can filter commits by specifying the author name and date range in the tool's parameters. Is there a way to change the server's port? Yes, you can change the port by setting the DCR_MCP_PORT environment variable before running the server.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like DCR MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like DCR MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.