Remote MCP enables secure, type-safe communication between local AI agents and remote MCP servers. It exposes APIs for model context management, including model deployment, versioning, and inference. The server connects to remote MCP instances, allowing centralized model management. Developers use it to integrate local AI applications with remote model management systems.
Remote MCP enables secure, type-safe communication between local AI agents and remote MCP servers. It exposes APIs for model context management, including model deployment, versioning, and inference. The server connects to remote MCP instances, allowing centralized model management. Developers use it to integrate local AI applications with remote model management systems.
npx -y @ssut/remote-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"ssut-remote-mcp-github": {
"command": "npx",
"args": [
"-y",
"npx -y @ssut/remote-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Remote MCP?"
API Key Required
This server requires an API key from Remote MCP. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| REMOTE_MCP_API_KEY | Yes | Your Remote MCP API key |
"What resources are available in Remote MCP?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Remote MCP"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Remote MCP 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.