Abid Ali Awan commited on
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ff1fa38
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1 Parent(s): 146552c

Update SDK version to 5.33.0, enhance README with integration instructions for SSE and stdio clients, and improve descriptions in app.py for code analysis and scoring features.

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Files changed (3) hide show
  1. README.md +33 -1
  2. requirements.txt +0 -2
  3. src/app.py +4 -3
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: πŸ§‘β€πŸ’»
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  colorFrom: gray
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  colorTo: yellow
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  sdk: gradio
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- sdk_version: 5.32.1
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  app_file: src/app.py
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  pinned: false
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  license: apache-2.0
@@ -57,6 +57,38 @@ This project is a Gradio-based MCP server that provides two code analysis functi
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  To test this MCP server, you can create a new chat in agent mode of the Cursor using (CTRL +T) and ask for a code analysis report (e.g., "analyze this Python code: print('hello')"). Cursor will ask for permission to run the MCP tool. Approve it.
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  ### Sample Prompts
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  Here are a few ways you can ask Cursor AI to use these tools:
 
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  colorFrom: gray
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  colorTo: yellow
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  sdk: gradio
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+ sdk_version: 5.33.0
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  app_file: src/app.py
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  pinned: false
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  license: apache-2.0
 
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  To test this MCP server, you can create a new chat in agent mode of the Cursor using (CTRL +T) and ask for a code analysis report (e.g., "analyze this Python code: print('hello')"). Cursor will ask for permission to run the MCP tool. Approve it.
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+ ### Integration with other clients
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+
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+ For clients that support SSE (e.g. Cursor, Windsurf, Cline), simply add the following configuration to your MCP config:
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+
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+ ```json
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+ {
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+ "mcpServers": {
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+ "gradio": {
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+ "url": "https://agents-mcp-hackathon-code-analysis-mcp.hf.space/gradio_api/mcp/sse"
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+ }
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+ }
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+ }
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+ ```
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+
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+ For clients that only support stdio, first install Node.js. Then, you can use the following command:
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+
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+ ```json
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+ {
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+ "mcpServers": {
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+ "gradio": {
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+ "command": "npx",
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+ "args": [
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+ "mcp-remote",
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+ "https://agents-mcp-hackathon-code-analysis-mcp.hf.space/gradio_api/mcp/sse",
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+ "--transport",
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+ "sse-only"
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+ ]
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+ }
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+ }
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+ }
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+ ```
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+
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  ### Sample Prompts
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  Here are a few ways you can ask Cursor AI to use these tools:
requirements.txt CHANGED
@@ -1,6 +1,4 @@
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  python-dotenv>=1.1.0
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- gradio==5.32.1
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- gradio[mcp]==5.32.1
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  mistralai==1.8.1
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  openai==1.84.0
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  anthropic==0.52.2
 
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  python-dotenv>=1.1.0
 
 
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  mistralai==1.8.1
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  openai==1.84.0
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  anthropic==0.52.2
src/app.py CHANGED
@@ -12,21 +12,22 @@ analysis_report_demo = gr.Interface(
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  fn=code_analysis_report,
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  inputs=gr.Textbox(label="Enter Code Here", lines=20),
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  outputs=gr.Textbox(label="Analysis Report", lines=20),
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- description="Generate a basic code analysis report.",
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  )
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  code_score_demo = gr.Interface(
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  fn=code_analysis_score,
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  inputs=gr.Textbox(label="Enter Code Here", lines=20),
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  outputs=gr.JSON(label="Code Score"),
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- description="Generate a basic code score.",
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  )
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  # Create tabbed interface
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  demo = gr.TabbedInterface(
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  [analysis_report_demo, code_score_demo],
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  ["Code Analysis Report", "Code Score"],
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- title="Code Analysis Server",
 
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  )
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  if __name__ == "__main__":
 
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  fn=code_analysis_report,
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  inputs=gr.Textbox(label="Enter Code Here", lines=20),
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  outputs=gr.Textbox(label="Analysis Report", lines=20),
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+ description="Generate a detailed code analysis report with top fixes. Please read the [documentation](https://huggingface.co/spaces/Agents-MCP-Hackathon/code-analysis-mcp/blob/main/README.md) for more details.",
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  )
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  code_score_demo = gr.Interface(
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  fn=code_analysis_score,
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  inputs=gr.Textbox(label="Enter Code Here", lines=20),
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  outputs=gr.JSON(label="Code Score"),
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+ description="Generate a vulnerability, style, and quality code score. Please read the [documentation](https://huggingface.co/spaces/Agents-MCP-Hackathon/code-analysis-mcp/blob/main/README.md) for more details.",
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  )
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  # Create tabbed interface
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  demo = gr.TabbedInterface(
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  [analysis_report_demo, code_score_demo],
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  ["Code Analysis Report", "Code Score"],
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+ title="Code Scoring & Analysis MCP Server",
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+ theme=gr.themes.Soft(),
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  )
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  if __name__ == "__main__":