Enables agents to securely discover and invoke a centrally governed catalog of tools from distributed internal and external providers, with policy enforcement, quotas, inspection, and audit controls.
Enables MCP-compatible AI clients to invoke CLI-driven agent tools over Streamable HTTP, including shell execution, file operations, patching, image viewing, web search, and nested agent tasks, with permission modes and real-time progress streaming.
Enables building agent-ready APIs that expose tools as both HTTP and MCP endpoints from a single server definition, with automatic OpenAPI, discovery docs, and interactive API reference.
MCP server giving agents a persistent IPython workbench and a brokered RLM engine for durable, stateful computation. Offers 30 tools for bounded model calls, artifacts, and receipts with host-owned authority.
Provides a unified interface for autonomous AI agents to access 14 developer toolchains covering commerce audits, security guards, swarm coordination, machine trust, proof ledgers, crawling, telemetry, pricing, local model routing, micropayments, sandbox isolation, A2UI rendering, and message bus dispatch.
Enables AI agents to dynamically discover and invoke containerized tools that can be registered at runtime without redeployment. Built on Cloudflare Workers with scale-to-zero containers for secure, isolated tool execution.