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A centralized hub of remote MCP servers with practical connection guides for MCP-compatible clients.
Configuration
View docs{
"mcpServers": {
"jaw9c-awesome-remote-mcp-servers": {
"url": "https://mcp.my-awesome-server.com/sse"
}
}
}MCP (Model Context Protocol) lets your AI models connect to external tools and data sources securely over the internet. Remote MCP servers simplify this by providing ready-to-use endpoints you can connect to with compatible clients, enabling your applications to perform actions, fetch data, and reason with external capabilities without hosting services yourself.
You connect to a remote MCP server using an MCP client or by making API requests to a supported LLM provider. Once the connection is established, you can query the server for data, perform actions via the server’s tools, and incorporate those results back into your AI workflows. Use the server’s URL (or its configured client entry) exactly as shown in your chosen integration method, and ensure you have the necessary authentication in place.
Prerequisites: ensure you have a compatible MCP client or development environment ready. The following examples illustrate how to configure a known MCP server endpoint in common clients.
{
"mcpServers": {
"test": {
"url": "https://mcp.my-awesome-server.com/sse"
}
}
}You can configure the same MCP endpoint in several clients. Here are representative configurations for popular tools using the provided server URL. Use these exact snippets to connect the client to the MCP server.
{
"mcpServers": {
"test": {
"serverUrl": "https://mcp.my-awesome-server.com/sse"
}
}
}Cursor: add the MCP server to your profile so you can reference it in your projects.
{
"mcpServers": {
"test": {
"url": "https://mcp.my-awesome-server.com/sse"
}
}
}Use OAuth 2.1 or API Key where supported by your MCP client. Ensure you follow the provider’s recommended authentication flow and protect access tokens or API keys. Open access is convenient for experimentation but is not recommended for production workloads.
If you cannot reach the MCP endpoint, verify the URL, check firewall rules, and confirm your client is configured for the correct transport (http vs. streamable http) as shown in the server configuration.
Prefer endpoints that require OAuth 2.1 or API Keys and avoid open endpoints for sensitive data tasks. Ensure your client stores credentials securely and follows best practices for token refresh and revocation.