MCP Servers for Codecov
Codecov is a code coverage reporting tool that helps developers identify which parts of their code aren't covered by their test suite, improving code quality and reliability.
Why this server?
Integration for code coverage reporting, as indicated by the codecov badge in the README.
AsecurityAlicenseAqualityA line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.640PythonMIT LicenseWhy this server?
The MCP server integrates with Codecov for tracking code coverage metrics, as evidenced by the Codecov badge in the README.
AsecurityAlicenseAqualityMCP server for collecting code from files and directories into a single markdown document.24PythonMIT LicenseWhy this server?
Code coverage reporting integration shown by the codecov badge in the README header, displaying test coverage metrics for the project.
AsecurityAlicenseAqualityA secure shell command execution server implementing the Model Context Protocol (MCP). This server allows remote execution of whitelisted shell commands with support for stdin input.132PythonMIT LicenseWhy this server?
Used for code coverage reporting for the project, but not as a service the MCP integrates with functionally.
-securityAlicense-qualityAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included34511TypeScriptMIT LicenseWhy this server?
Provides code coverage reporting for the mcp-proxy project as indicated by the codecov badge at the top of the README.
-securityAlicense-qualityEnables interaction with remote MCP servers using SSE transport instead of STDIO for enhanced communication capabilities.103PythonMIT LicenseWhy this server?
Integrates with Codecov for tracking code coverage statistics and reporting.
phil65Verified-securityAlicense-qualityA server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.4PythonMIT License