Update app.py
Browse files
app.py
CHANGED
@@ -609,45 +609,149 @@ with gr.Blocks(title="🚦 Router MCP", css="""
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<p>Your Gateway to Optimal MCP Servers in Seconds</p>
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''')
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with gr.
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with gr.
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gr.Markdown("### Search MCP servers using natural language query")
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query_input = gr.Textbox(
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label="Describe the MCP Server you're looking for",
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placeholder="e.g., 'I need an MCP Server that can generate images'"
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)
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gr.Markdown("### Select sources to search")
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hf_checkbox = gr.Checkbox(label="Hugging Face Spaces", value=True)
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smithery_checkbox = gr.Checkbox(label="Smithery", value=False)
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registry_checkbox = gr.Checkbox(label="Registry (Coming Soon)", value=False, interactive=False)
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result_limit = gr.Number(
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label="Maximum number of results for each source",
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value=3,
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minimum=1,
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maximum=20,
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step=1
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)
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gr.Markdown("### Select your OS")
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client_radio = gr.Radio(
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choices=["Mac/Linux", "Windows", "WSL"],
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label="Choose your operating system to get the appropriate command format",
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value="Mac/Linux", # Default back to Mac/Linux
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interactive=True,
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elem_id="client_radio"
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)
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with gr.Row():
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# Set up event handlers
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def get_sources():
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<p>Your Gateway to Optimal MCP Servers in Seconds</p>
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''')
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with gr.Tabs() as tabs:
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with gr.Tab("Overview"):
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with gr.Row():
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with gr.Column():
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gr.Markdown("""
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Router MCP is a powerful tool that helps you discover and connect to MCP servers.
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Whether you're looking for specific functionality or exploring new possibilities,
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Router MCP makes it easy to find the perfect server for your needs.
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### How to Use Router MCP
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1. **Enter Your Query**
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- Type a natural language description of the MCP Server you're looking for
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- Be as specific or general as you need
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2. **Select Search Sources**
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- Choose where to search for MCP Servers
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- Currently supports Hugging Face Spaces and Smithery
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- Note: Anthropic's Registry is under development and not yet available
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3. **Choose Your OS**
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- Select your operating system (Mac/Linux, Windows, or WSL)
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- This ensures you get the correct configuration format for your system
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4. **Choose Search Type**
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- **Keyword Search**: Use when you have specific terms or names in mind
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- **Semantic Search**: Use when you want to find servers based on meaning and intent
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- Both methods will return ready-to-use MCP configurations
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### Understanding Search Results
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The search results will show MCP Servers from different sources, each with their own format:
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#### Hugging Face Spaces Results
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- **id**: The Space's unique identifier
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- **likes**: Number of likes the Space has received
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- **trending_score**: The Space's popularity score
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- **source**: Always "huggingface"
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- **configuration**: Ready-to-use MCP configuration for SSE connection
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#### Smithery Results
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- **id**: The server's qualified name (e.g., "author/server-name")
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- **name**: Display name of the server
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- **description**: Detailed description of the server's capabilities
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- **likes**: Number of times the server has been used
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- **source**: Always "smithery"
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- **configuration**: OS-specific MCP configuration (requires your Smithery key)
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> Note: For Smithery servers, you'll need to replace "YOUR_SMITHERY_KEY" in the configuration with your actual Smithery API key.
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""")
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with gr.Column():
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gr.Markdown("""
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### Features
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- **Multi-Source Search**: Search across Hugging Face Spaces and Smithery
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- **Smart Search**: Choose between keyword and semantic search
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- **OS-Specific Configs**: Get configurations tailored to your operating system
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- **Ready-to-Use**: Direct integration with MCP-compatible clients
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""")
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with gr.Tab("Try Router MCP"):
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with gr.Row():
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with gr.Column():
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gr.Markdown("### Search MCP servers using natural language query")
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query_input = gr.Textbox(
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label="Describe the MCP Server you're looking for",
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placeholder="e.g., 'I need an MCP Server that can generate images'"
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)
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gr.Markdown("### Select sources to search")
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hf_checkbox = gr.Checkbox(label="Hugging Face Spaces", value=True)
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smithery_checkbox = gr.Checkbox(label="Smithery", value=False)
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registry_checkbox = gr.Checkbox(label="Registry (Coming Soon)", value=False, interactive=False)
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result_limit = gr.Number(
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label="Maximum number of results for each source",
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value=3,
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minimum=1,
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maximum=20,
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step=1
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)
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gr.Markdown("### Select your OS")
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client_radio = gr.Radio(
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choices=["Mac/Linux", "Windows", "WSL"],
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label="Choose your operating system to get the appropriate command format",
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value="Mac/Linux",
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interactive=True,
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elem_id="client_radio"
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)
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with gr.Row():
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keyword_search_button = gr.Button("Keyword Search")
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semantic_search_button = gr.Button("Semantic Search")
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with gr.Column():
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results_output = gr.JSON(
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label="Search Results",
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elem_id="results_output"
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)
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with gr.Tab("How to Integrate"):
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gr.Markdown("""
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### Integration Guide
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To integrate Router MCP with your preferred client, follow these instructions:
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#### For SSE-Supported Clients
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For clients that support SSE (e.g., Cursor, Windsurf, Cline), add this configuration to your MCP config:
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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-router-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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#### For stdio-Only Clients
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For clients that only support stdio (e.g., Claude Desktop):
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1. First, install Node.js
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2. Add this configuration to your MCP config:
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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-router-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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For more information about MCP, check out the [Gradio documentation](https://gradio.app/docs/mcp).
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""")
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# Set up event handlers
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def get_sources():
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