jinja2-mcp-server

jinja2-mcp-server

3.3

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Jinja2 MCP Server is a production-ready server for rendering Jinja2 templates using the Model Context Protocol (MCP), providing robust template processing capabilities for AI applications.

The Jinja2 MCP Server is designed to offer a powerful and secure environment for rendering Jinja2 templates, specifically tailored for AI applications. It supports complex JSON parameters and ensures safe execution within a sandboxed environment. The server is fully compatible with the MCP protocol, allowing seamless integration with AI models like Claude and GPT. It offers dual transport protocols, stdio and StreamableHttp, making it versatile for different use cases. The server is built on a high-performance asynchronous architecture, leveraging FastMCP for efficient processing. It includes intelligent caching mechanisms to enhance rendering performance and implements multiple security layers to prevent malicious template execution. The server is also equipped with debugging tools, including MCP Inspector for visual debugging, and supports the latest features of Jinja2 3.1+, making it a comprehensive solution for template rendering needs.

Features

  • Complete MCP protocol support with dual transport protocols (stdio and StreamableHttp).
  • Secure sandbox execution with multiple security layers to prevent malicious template execution.
  • High-performance asynchronous architecture using FastMCP.
  • Intelligent caching mechanisms to enhance rendering performance.
  • Support for complex JSON data structures and Jinja2 3.1+ features.

Tools

  1. render_template

    Renders a Jinja2 template with provided variables.

  2. render_template_file

    Renders a Jinja2 template from a file with provided variables.

  3. validate_template

    Validates a Jinja2 template for syntax and complexity.

  4. list_filters

    Lists all available Jinja2 filters.

  5. get_template_info

    Provides detailed information and performance analysis of a template.