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by qianping-sara • Testing & QA
An MCP-based assistant server that exposes file system resources, developer tools, and prompt templates to agents for code review, Git help, and API design.
Access to repository files and directories to read contents and surface code context during analysis.
Automated developer assistance such as code quality evaluation, test suggestion generation, commit message creation, and Git command explanations.
Design, review, and generate tests for RESTful APIs using provided API design prompt templates and tools.
Crew AI MCP Server implements the Model Context Protocol (MCP) to provide resources (file system access), tools (calculator, user management), and reusable prompt templates for code review, Git assistance, and API design. It is designed for easy local run and integration (e.g., Claude Desktop, ASGI apps) and includes deployment guidance for Vercel. The server is extensible — new tools, prompts, and resources can be added via decorators following the provided patterns, making it useful for customizing agent capabilities.
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