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.
Enables AI agents to connect once to a local MCP endpoint and access tools from all configured MCP servers, add or remove connectors live, and generate sandboxed connectors for services that lack one. It centralizes multi-server access while keeping credentials isolated and calls logged without recording arguments or results.
Exposes a governed suite of 38 tools over a single OAuth-gated MCP endpoint, letting web-based AI clients such as Claude, ChatGPT, and Grok read and edit files, run whitelisted shell commands, search, query SQLite, use Git, automate browsers and DevTools, manage background tasks, reach localhost services, and control the clipboard, notifications, ports, and Postman. This turns remote AI chats into secure operators of a local machine without granting unrestricted shell access.
A single MCP server that exposes safe, permission-checked tools for AI assistants to reach file systems, databases, APIs, Git, cloud services, and business applications.
Enables web-based AI clients like Claude, ChatGPT, and Grok to securely operate a local machine through an OAuth-gated MCP endpoint, covering files, shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, ports, clipboard, notifications, and Postman. Exposes 38 governed tools with a strict command whitelist, folder allowlisting, and rate limiting so browser chats can build projects, inspect databases and local APIs, and manage long-running jobs without granting unrestricted shell access.