Skip to main content

​
Authenticating an MCP Client

Because the Model Context Protocol inherently dictates connecting an artificial intelligence agent locally to external resource orchestrators dynamically via specialized SSE endpoints, MCP Streamable HTTP, or secure stdio pipes—securing that boundary relies entirely upon passing credential headers logically.

​
Implementing the Server Token

Once you successfully generate a ServerToken via the HasMCP dashboard logically or utilizing the POST /servers/{serverId}/tokens configuration, you possess an unencrypted cryptography value string. This string must be explicitly loaded into your connecting AI Client (such as the Claude Desktop app or a custom Python script).

​
Architecture Example: Claude Desktop

If you are deploying Claude Desktop connecting to your HasMCP orchestrator natively over standard HTTP SSE protocol mapping: You would inject the value into your local claude_desktop_config.json defining the execution header implicitly: 
{
 "mcpServers": {
 "my-hasmcp-production-server": {
 "command": "mcp-proxy",
 "args": ["connect", "https://app.hasmcp.com/api/v1/mcp/sE8vKd2qLp9/sse"],
 "env": {
 "AUTHORIZATION": "Bearer mcp_rt_81K..." 
 }
 }
 }
}
Whenever the Claude binary spins up intrinsically, it organically injects the Bearer token structure into the SSE instantiation request implicitly. HasMCP interprets the header organically, calculates the hash logically, verifies the {serverId} mapped routing layer intuitively, and establishes the bi-directional tool proxy automatically.