What the connector covers
We expose the endpoints your team actually needs, chosen from your OpenAPI spec or GraphQL schema. You choose exactly which ones, and for each tool whether it can only read or can also write.
Authentication
We connect using your existing auth: API keys, OAuth, JWT or SSO, passed through per user where possible. Credentials stay on the server and never reach the AI model.
What we handle that generic servers often miss
- Turning every endpoint into a tool confuses models; 5 to 15 well-named tools work better than 200.
- Tool descriptions are prompts; we write and test them against real questions from your team.
- Anything that moves money or deletes data stays behind a human approval step.
Works with your AI clients
The same server works in Claude, ChatGPT, Cursor, VS Code and agent frameworks that support MCP. Run it locally for a pilot or as a remote server for the whole team.
Questions about Internal API and MCP
Is there an official Internal API MCP server?
Some vendors publish their own MCP servers and they change quickly. When you send a brief we check what exists for Internal API today and tell you honestly whether it covers your needs.
How long does a Internal API MCP connector take?
A focused connector with up to 10 tools usually ships in 7 to 10 business days after you approve the tool list.
How much does a Internal API MCP server cost?
A single-system connector starts at $1,900, fixed after a free written scoping. Multi-system production setups start at $5,900.
Can the AI change data in Internal API?
Only through write tools you approve, and risky ones wait for a person to confirm. Everything is logged.