The comprehensive enterprise solution to MCP Servers
Satsuma scans your website or API documentation, generates real MCP Server tools and MCP App UI, and gives your team everything needed to implement it with their coding agent. Take the whole stack or just the pieces you need: MCP Server scaffolding and runtime, App UI, LLM platform SDKs, analytics, and observability. Your repo, your cloud.
How It Works
Scan your product
Paste a URL to your website, developer docs, OpenAPI spec, or an existing MCP Server. Satsuma reads it and maps the tools your product could expose to AI agents.
Generate your MCP Server and MCP App
Get real MCP Server tools with schemas, plus MCP App UI, scaffolded so your team can implement the whole thing with their coding agent in your own repo and cloud.
Launch every channel and measure it
Connect to ChatGPT, Claude, Gemini, Copilot, Grok, Perplexity, and your own site, then track every user query, tool call, and session with built-in analytics and observability.
MCP Server + API Control Center: Your Unified Dashboard for AI Mode
Realtime reporting on your AI Applications, Add New Applications, and Manage your MCP Server
Backed by
Mercury, Mercury Fund, Quiet Capital, Slow Ventures
AI Agent Readiness Report
Assess whether your systems are ready for AI agents to read data and take action.
AI agents are becoming a new interface for software. This assessment evaluates whether your internal systems can safely support agent-driven interactions via a secure MCP Server.
Assessment Questions
- We have internal APIs that expose product, account, or service data in real time.
- We have internal APIs that allow actions to be taken (for example: create a record, update a request, schedule a service).
- These APIs enforce business rules and constraints (limits, eligibility, permissions, brand rules).
- We can scope permissions so an AI agent can only perform a limited set of approved actions.
- We can reliably distinguish AI-initiated actions from human-initiated actions.
- All AI-initiated actions could be logged and audited.
- We would be comfortable exposing these capabilities to AI agents if access were mediated through a secure MCP Server.
Frequently Asked Questions
Everything you need to know about making your product usable by AI agents
What does it mean to be agent-ready?
An agent-ready product exposes its data and actions to AI assistants through structured tools instead of forcing agents to guess or scrape. People increasingly ask ChatGPT, Claude, Gemini, Copilot, and Perplexity to do things for them, and an agent-ready product can answer and act inside those assistants with your brand, your permissions, and your rules.
What is an MCP Server and why do I need one?
MCP (Model Context Protocol) is the open standard that lets AI agents securely connect to external systems. An MCP Server is the bridge between your product's APIs and AI agents, exposing your data, search, and actions in a format AI can understand. Without one, AI agents cannot reliably use your product. Satsuma generates and operates your MCP Server so you do not have to.
Which products does Satsuma support?
Any product with REST or GraphQL APIs, an OpenAPI spec, or public developer documentation. Satsuma scans what you already have and generates MCP Server tools on top of it, so there is no rebuild or migration.
Which AI channels does Satsuma connect me to?
ChatGPT, Claude, Gemini, Microsoft Copilot, Grok, and Perplexity, plus WebMCP tools on your own website so browser-based agents can call your actions in-page. One build covers every channel.
Do I lose control of my users or my code?
No. The connector runs in your cloud and the repo is yours. You own 100% of your user relationships and data. Satsuma operates the protocol layer, the app UI, and the analytics around it.
How long does integration take?
Most teams are live in 14–21 days. Satsuma handles the technical work: MCP Server provisioning, API configuration, app UI, security setup, and publishing to AI platforms.
Is my data secure?
Security is foundational to Satsuma's infrastructure. We use enterprise-grade encryption, strict access controls, and follow SOC 2 compliance standards. AI agents only access the data and actions you approve, never sensitive payment or personal data.
What is WebMCP and how does Satsuma support it?
WebMCP (Web Model Context Protocol) is the new W3C community standard developed by Google and Microsoft that allows AI agents to interact with websites through structured, browser-native tools, replacing brittle DOM scraping with reliable tool-based protocols. Satsuma supports WebMCP out of the box.
How is this different from SEO?
Traditional SEO optimizes for search engine rankings on web pages. An MCP Server is a different channel entirely: AI agents call your real tools and act on behalf of users. Satsuma gives you direct, branded access to that channel while you keep full ownership of your data and users.
What is an MCP App and how is it different from an MCP Server?
An MCP Server is the backend infrastructure that exposes your data and actions to AI agents. An MCP App is the branded, user-facing application built on top of that server, and it is what gets published to AI platforms like ChatGPT, Claude, and Gemini. Satsuma builds and operates both.
Can Satsuma build my MCP App for ChatGPT and other AI platforms?
Yes. Satsuma connects to the APIs you already have, generates your MCP Server infrastructure, and packages it as a ready-to-publish MCP App for ChatGPT, Claude, Gemini, and other AI platforms. Most teams go live in 14–21 days.
How do I get started?
Scan your website or API docs on the homepage, or take our free AI Readiness Report to assess how prepared your stack is for AI agents. From there, our team will walk you through implementation options, timeline, and pricing.