Capture and analyze MCP traffic
## MCPCap MCP Server: MCP Protocol Capture and Analysis The **MCPCap MCP Server** provides protocol capture and analysis capabilities for MCP communications within Google Antigravity, enabling debugging, monitoring, and optimization of MCP server interactions. ### Why MCPCap MCP? - **Protocol Inspection**: Capture and inspect all MCP protocol messages for debugging and analysis - **Performance Monitoring**: Track response times, throughput, and error rates for MCP operations - **Replay Capability**: Record and replay MCP interactions for testing and debugging scenarios - **Traffic Analysis**: Analyze MCP traffic patterns to optimize server configurations - **Debugging Support**: Detailed message logging for troubleshooting MCP integration issues ### Key Features #### 1. Traffic Capture ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Start capturing MCP traffic and log all tool invocations with parameters" }] ) ``` #### 2. Performance Analysis ```python # Analyze performance response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Show MCP server response times and identify slow operations" }] ) ``` #### 3. Message Inspection ```python # Inspect messages response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Display captured MCP messages with request and response details" }] ) ``` #### 4. Replay Testing ```python # Replay interactions response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Replay captured MCP session to reproduce reported issue" }] ) ``` ### Configuration ```json { "mcpServers": { "mcpcap": { "command": "npx", "args": ["-y", "@anthropic/mcp-server-mcpcap"], "env": { "MCPCAP_LOG_DIR": "./mcp-logs", "MCPCAP_CAPTURE_ENABLED": "true" } } } } ``` ### Use Cases **Debugging**: Troubleshoot MCP integration issues by inspecting protocol messages. **Performance Tuning**: Identify slow MCP operations and optimize server configurations. **Testing**: Record and replay MCP interactions for regression testing. **Monitoring**: Track MCP traffic patterns and error rates for operational visibility. The MCPCap MCP Server provides essential visibility into MCP protocol operations, enabling effective debugging and optimization of AI-assisted workflows.
{
"mcpServers": {
"mcpcap": {
"mcpServers": {
"mcpcap": {
"args": [
"mcpcap"
],
"command": "uvx"
}
}
}
}
}