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Why this server?
This server bridges AI assistants with JetBrains IDEs, allowing access to IDE functionality, which is relevant to code editing.
Why this server?
This server connects Sanity content to AI agents, enabling content creation, updating, and exploration using tools like VS Code and Cursor, which are code editors.
Why this server?
This server is a bridge that connects AI assistants to VS Code's debugger, allowing them to interact with and control debugging sessions, which is relevant to code editing.
Why this server?
Integrates Dify AI API to provide code generation for Ant Design components, supporting both text and image inputs which fits front-end component selection.
Why this server?
A Model Context Protocol server that provides local code analysis and search capabilities for software projects.
Why this server?
Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices.
Why this server?
A bridge between AI assistants and Anava-enabled Axis cameras, enabling real-time image analysis which meets the 'visual ai fronted' request.
Why this server?
Integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling code analysis and security vulnerability detection.
Why this server?
A Model Context Protocol (MCP) server allowing LLMs to interact with context-first documentation tools and workflows for preserving knowledge and intent alongside code.
Why this server?
A Model Control Protocol server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments