Architecture
How the QuilrAI MCP Gateway processes every tool call - from your AI agent to the MCP server and back.
// claude_desktop_config.json
{
"mcpServers": {
"github": {
"url": "https://mcp.quilr.ai/mcp/github/"
}
}
}Pipeline Stages
Every MCP tool call flows through these stages in order. Each stage is independently configurable from the dashboard.
Response Path
Responses from MCP servers pass back through the security guardrails for output scanning before being returned to your agent. The same detection categories and configurable actions (block, redact, anonymize, monitor) apply to both tool call inputs and outputs.
Auth Mediation
The gateway decouples agent authentication from MCP server authentication, supporting three conversion modes:
Observability
Every tool call is logged with latency, guardrail actions, and agent identity. Use the dashboard to review request history, the MCP Gateway Log Export API to export logs programmatically, and per-agent usage statistics to monitor adoption.