MCP connect exposes local Stdio-based MCP servers to cloud AI services via HTTP requests. It provides a bridge between local and cloud environments, enabling file storage access. Connects to local MCP servers and cloud AI services. Developers use it to integrate cloud AI services with local MCP servers for file storage.
MCP connect exposes local Stdio-based MCP servers to cloud AI services via HTTP requests. It provides a bridge between local and cloud environments, enabling file storage access. Connects to local MCP servers and cloud AI services. Developers use it to integrate cloud AI services with local MCP servers for file storage.
npx -y mcp-bridgeAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"evalsone-mcp-connect-github": {
"command": "npx",
"args": [
"-y",
"npx -y mcp-bridge"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP connect?"
No configuration required. This server works out of the box.
"What resources are available in MCP connect?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP connect"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP connect 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.