Deepsource MCP Server
The DeepSource MCP Server is a service that implements the Model Context Protocol, used to connect the DeepSource code quality analysis platform with an AI assistant, providing functions for querying code quality indicators, issues, and accessing analysis results.
rating : 2 points
downloads : 7.5K
What is the DeepSource MCP Server?
This is a service that connects an AI assistant (such as Claude) with the DeepSource code quality analysis platform. It allows the AI assistant to query the code quality indicators, analysis results, and historical trends of a project, helping developers better understand and manage code quality.How to use the DeepSource MCP Server?
It can be enabled by adding the MCP server settings to the configuration of an AI assistant (such as Claude Desktop). It supports two quick startup methods, Docker and NPX, without complex installation.Use cases
It is suitable for development scenarios that require an AI assistant to assist in analyzing code quality, such as code review assistance, technical debt analysis, quality trend tracking, and problem classification management.Main features
DeepSource API integration
Seamlessly connect to the DeepSource platform through the GraphQL API to obtain real - time code analysis data
MCP protocol support
Fully compatible with the Model Context Protocol to ensure efficient communication with various AI assistants
Issue filtering function
Supports filtering code issues by multiple dimensions such as project, time range, and issue type
Quality trend analysis
Provides trend data on the change of project code quality over time to help identify improvement effects
Advantages
Simplify the process for the AI assistant to obtain code quality data
Support multiple deployment methods (Docker/NPX/Node.js)
Provide rich code quality indicators and issue details
Real - time data synchronization to ensure information timeliness
Limitations
Requires a valid DeepSource API key
Only supports projects analyzed by the DeepSource platform
Advanced features require DeepSource Enterprise Edition support
How to use
Get a DeepSource API key
Log in to your DeepSource account and create an API key in the settings
Configure the AI assistant
Add the MCP server settings to the configuration file of an AI assistant such as Claude Desktop
Restart the AI assistant
Restart the AI assistant after applying the configuration to load the MCP server
Usage examples
Code review assistance
During the code review process, the AI assistant can query the code quality issues of relevant files in real - time
Technical debt analysis
Evaluate the accumulated technical debt in a project
Frequently Asked Questions
How to get a DeepSource API key?
Which AI assistants are supported?
What is the data update frequency?
Related resources
DeepSource official documentation
Complete function documentation of the DeepSource platform
GitHub repository
Project source code and issue tracking
Model Context Protocol specification
Technical specification document of the MCP protocol

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.6K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points

