A production-style MCP gateway that aggregates multiple tool servers into one surface with semantic tool search, RBAC, audit logging, and rate limiting, enabling efficient tool selection for AI agents.
Enables AI agents to securely discover, invoke, and manage tools through a hardened MCP endpoint with protections like injection detection, circuit breakers, retry backoff, response caching, context-window limiting, and state snapshots.
An advanced MCP-based AI agent system with intelligent tool orchestration, multi-LLM support, and enterprise-grade reliability features like semantic routing and circuit breakers.
A drop-in MCP proxy that aggregates multiple backend servers into two meta-tools for efficient tool discovery and execution. It enables AI clients to access hundreds of tools while minimizing context window usage through searchable indexing.
An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.