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⇱ Tools and Components for Visual AI Code Editing and Chat Interfaces | Glama


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Tools and Components for Visual AI Code Editing and Chat Interfaces

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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.

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    A proxy server that enables communication between clients (like Claude AI or VS Code) and JetBrains IDEs, allowing AI assistants to access IDE functionality.
    Last updated
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  • 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.

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    Connect your Sanity content to AI agents. Create, update, and explore structured content using Claude, Cursor, and VS Code via the Model Context Protocol. Transform content operations from complex queries to simple conversations—giving your team superpowers without sacrificing structure.
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    MIT
  • 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.

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    A bridge that enables AI assistants to connect to VS Code's debugger, allowing them to interact with and control debugging sessions through websocket connections.
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    MIT
  • 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.

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    Integrates Dify AI API to provide code generation for Ant Design components, supporting both text and image inputs with stream processing capabilities.
    Last updated
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    MIT
  • Why this server?

    A Model Context Protocol server that provides local code analysis and search capabilities for software projects.

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    A local server that provides powerful code analysis and search capabilities for software projects, helping AI assistants and development tools understand codebases for tasks like code generation and refactoring.
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  • Why this server?

    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices.

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    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
    Last updated
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  • 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.

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    A bridge between AI assistants like Claude and Anava-enabled Axis cameras, enabling real-time image analysis, event monitoring, and camera management through natural language commands.
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  • Why this server?

    Integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling code analysis and security vulnerability detection.

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    A Model Context Protocol compliant server that 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.
    Last updated
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    310
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    MIT
  • 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.

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    A Model Context Protocol (MCP) server that implements AI-First Development framework principles, allowing LLMs to interact with context-first documentation tools and workflows for preserving knowledge and intent alongside code.
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    AGPL 3.0