Apigene is an MCP gateway that connects AI agents to APIs and MCP servers through a single, governed endpoint. Instead of writing custom glue code for every integration, teams expose their tools, context, skills, and instructions through Apigene’s runtime layer, and agents on any AI platform — ChatGPT, Claude, Cursor, Gemini, internal copilots, or custom applications — access them consistently via the Model Context Protocol.
Apigene describes itself as a complete agent foundation layer. Agents can be configured through a chat interface with no code: define which APIs and MCP servers an agent may use, how it should reason, and how it should act, and the platform intelligently matches the right tool to each request. It ships with hundreds of ready-made integrations built on official OpenAPI specifications, plus native MCP servers for leading SaaS platforms. Performance is a central claim: dynamic tool loading keeps thousands of tools available without context bloat, parallel execution runs multiple tool calls at once, and output compression with filtering, aggregation, and transformation can reduce response payloads by up to 99%, which the company says cuts LLM costs by about half and makes tool calling up to 10x faster. Governance is handled centrally, with policy enforcement, role-based access controls, real-time usage monitoring, and complete audit logs across all connected platforms.
Apigene is a Paid enterprise product. The Pro plan costs $200 per month and includes 10 copilot users and 100,000 tool calls per month with multi-tenant SaaS deployment. An Enterprise plan with custom pricing adds higher quotas, bring-your-own-model support, cloud, hybrid, or on-premise deployment, custom data retention, and dedicated support with SLAs.
Apigene is for enterprises and platform teams that need to give AI agents governed, auditable access to many APIs and MCP tools across multiple AI platforms, without building and securing the integration layer themselves.