Bridges to the CodeQL static analysis engine through an MCP server, allowing for identification of security vulnerabilities and quality issues via structured queries. A prominent MCP server for code analysis.
Loading more......
An MCP server enhancing AI-generated code quality through intelligent prompt-based analysis across multiple software quality dimensions.
MCP server integrating Semgrep to allow AI agents to scan codebases for security vulnerabilities through the Model Context Protocol.
An official MCP Server by Microsoft allowing GitHub Copilot to detect security flaws and auto-generate pull requests using MCP workflows.
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup. Demonstrates MCP server use for codebase analysis.
A server wrapping the code2flow tool as an MCP service, enabling AI applications to generate and access code call graphs using a standardized protocol. Directly demonstrates MCP server integration.
Transforms complex codebases into structured summaries optimized for language models through an MCP server, facilitating better code understanding and analysis workflows. Directly relevant as an MCP server.
Codeql MCP Server is an implementation of a Model Context Protocol (MCP) server that wraps the CodeQL query server. It enables integration with tools like Cursor or AI agents to interact with the CodeQL static analysis engine through structured commands and doc search.
server.py).codeqlclient.py for communication with the CodeQL query server.No pricing information is provided; this appears to be an open-source project.
mcp, code-analysis, security, quality-assurance