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VOOZH | about |
Why this server?
Integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling advanced code analysis, security vulnerability detection, and code quality improvements through a conversational interface.
Why this server?
A Python-based MCP server that allows Claude and other LLMs to execute arbitrary Python code directly through your desktop Claude app, enabling data scientists to connect LLMs to APIs and executable code.
Why this server?
A TypeScript-based MCP server that generates API clients from OpenAPI specifications, allowing automated code generation through natural language.
Why this server?
MCP Server for the GitHub API, providing features for file operations, repository management, and advanced search, with automatic branch creation and comprehensive error handling.
Why this server?
A proxy server that enables communication between clients (like Claude AI or VS Code) and JetBrains IDEs, allowing AI assistants to access IDE functionality.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
Why this server?
A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
Why this server?
An MCP server that enables interaction with MLB scores and statistics via the SportsData.io MLB V3 Scores API, allowing users to access baseball data through natural language queries.
Why this server?
A Model Context Protocol server that connects Claude and other MCP clients to Aider, enabling AI assistants to efficiently edit files, create new files, and interact with git repositories through natural language.
