Toolcog is a universal API bridge for AI agents. One connection gives AI access to 100,000+ operations across hundreds of services—Stripe, GitHub, Shopify, Google, Salesforce, Slack, and more. No upfront configuration. No hardcoded integrations. AI discovers what it needs, learns how to use it, and executes with your credentials securely encrypted.
Ask Claude to audit your Cloudflare security. Create a GitHub issue from a bug you’re discussing. Set up metered billing in Stripe. Configure Google Analytics tracking. These aren’t hypothetical examples—they work. AI can actually do these things now, not just advise you on how to do them yourself.
The difference is Toolcog. Traditional AI assistants tell you what to do. With Toolcog, they do it.
Toolcog doesn’t give AI a fixed list of tools. It gives AI three API meta-tools that unlock everything:
find_api — Discover operations by intent. AI describes what it wants to accomplish; semantic search finds relevant operations across all indexed APIs. “Create a new customer with their email and payment method” returns stripe/createCustomer, stripe/createPaymentMethod, and other matches ranked by relevance.
learn_api — Learn interfaces on demand. For operations AI hasn’t used before, it requests TypeScript type declarations. The system generates clean, human-readable types for parameters and responses—exactly what AI needs to construct valid calls.
call_api — Execute with authentication. AI provides the operation name and arguments. The system handles everything else: constructing the HTTP request from the OpenAPI spec, applying credentials from your encrypted vault, executing the request, and returning the response.
This is fundamentally different from giving AI 50 hardcoded tools. AI can discover operations it’s never seen before, compose workflows across services, and adapt to new APIs without reconfiguration.
Traditional API tooling requires upfront configuration: define which APIs you want, specify which operations are available, set up authentication for each one. Toolcog inverts this.
AI expresses intent. The system discovers, learns, and executes. Configuration happens at the catalog level—once—not per operation.
Think of it as RAG for tools. The same pattern that lets AI find relevant documents to answer questions now lets AI find relevant operations to accomplish tasks. Instead of “here are the 20 tools you can use,” it’s “what are you trying to accomplish?”
Your credentials are encrypted with keys derived from secrets only you possess. Like a safety deposit box: Toolcog manages the vault, but you hold the only keys.
With Toolcog connected, you can ask AI to:
The scope is whatever’s possible through APIs. If there’s an API for it, AI can discover it, learn it, and use it.
Authorization happens in the flow of the conversation. No dashboard configuration. No pre-setup. You authorize exactly what’s needed, exactly when it’s needed.
Ready to try it?
