llm-routing
AI & Memory
Local
Enables cost-aware LLM routing over MCP with verification-based cascading, offering tools for routing queries, resuming escalated approvals, estimating costs, comparing policies, and explaining routing decisions, plus read-only resources and a policy-selection prompt.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/n0ks43nsja for deploy options, or install from https://github.com/APantov/llm-routing-comparison (see README for MCP config).
2
GitHub
Install from https://github.com/APantov/llm-routing-comparison and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.