MCP proxy aggregates and serves multiple MCP resource servers through a single HTTP server. It provides a unified endpoint for AI agents to access various MCP resources. The server connects to multiple MCP resource servers, offering a consolidated interface. Developers use it to simplify interactions with distributed MCP resources, reducing complexity in agent workflows.
MCP proxy aggregates and serves multiple MCP resource servers through a single HTTP server. It provides a unified endpoint for AI agents to access various MCP resources. The server connects to multiple MCP resource servers, offering a consolidated interface. Developers use it to simplify interactions with distributed MCP resources, reducing complexity in agent workflows.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"tbxark-mcp-proxy-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-tbxark-mcp-proxy-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp proxy?"
No configuration required. This server works out of the box.
"What resources are available in mcp proxy?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp proxy"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp proxy with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.