AgentBridge – Wrap Internal APIs for Agents

Turn internal APIs without MCP support into agent-callable tools.

Problem

Most internal company systems have no MCP tools, yet teams want AI agents to call them. Reworking legacy systems is slow, so developers hand-write glue code or give up on the integration entirely.

Solution

A locally deployed gateway where you declaratively map internal REST APIs into MCP tools or OpenAI-compatible function schemas, with auth, parameter validation, rate limiting, and audit logs so agents can call internal capabilities safely.

Users

Developers embedding agents inside enterprises, platform teams fighting legacy systems, small teams connecting internal tools to AI.

MVP

Declarative YAML/UI mapping from APIs to tools; local deployable service; auth and secret management; call logs and replay; export as MCP server or function schema.

Revenue

Free developer tier plus team subscription with SSO, audit export, and multi-environment support; enterprise per-seat licenses.

Why now

Agent adoption is moving from demos to production, and the bridge between internal APIs and agents is a clear gap. Open-core plus paid enterprise tier fits the indie playbook.