MCP Gateway for AI Agents
Build AI agents that connect to any Tools and run on any AI platform.
Apigene MCP Gateway Demo
What Is Apigene MCP Gateway?
Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol.
Apigene exposes agent tools, context, skills, and instructions as a single remote MCP endpoint - fully managed and governed. This positions MCP as native, not experimental.
Apigene MCP Gateway Demo
One Platform to Build, Run, and Govern AI Agents Across APIs and MCP
Apigene provides the full agent foundation layer and exposes it as a single MCP Gateway. Your agents can securely access APIs and MCP servers without custom glue code or framework-specific logic.
- Unified API and MCP access through one gateway
- No custom glue code or framework-specific logic
- Centralized security and governance
- Works with any AI platform
Build AI Agents Using Chat - No Code Required
Define which APIs and MCP servers your agent can use, how it should reason, and how it should act - all through a chat interface.
No-Code Agent Builder Demo
Chat-Based Configuration
Define agent capabilities through natural conversation, no code required.
Intelligent Tool Selection
The platform automatically matches the right API or MCP tool to each request.
Multi-Platform Deployment
Deploy to ChatGPT, Claude, Cursor IDE, or your own applications.
A Complete Agent Foundation for APIs and MCP
All components are centrally managed and exposed through a single remote MCP server.
Tools from APIs and MCP servers
Access any external capability through a unified interface.
Context and memory
Maintain conversation history and relevant context across interactions.
Skills and behaviors
Define reusable capabilities and action patterns.
Agent instructions and policies
Set guardrails and behavioral guidelines for your agents.
Agent Foundation Architecture
Hundreds of Ready-Made API and MCP Integrations
Apigene comes with hundreds of integrations built on official OpenAPI specifications and native MCP servers for leading SaaS platforms.
Integration Ecosystem Visualization
Official OpenAPI Specs
Integrations built on verified OpenAPI specifications for reliability.
Native MCP Servers
First-class support for leading SaaS platforms through native MCP servers.
Intelligent Matching
The platform automatically selects the right API or MCP tool for each request.
High-Performance Tool Calling for APIs and MCP
Optimize every tool call for speed and cost efficiency.
Dynamic Tool Loading
Load API and MCP tools only when needed, enabling thousands of tools per agent without context bloat.
Parallel Execution
Execute multiple API and MCP tool calls in parallel instead of sequentially to dramatically reduce latency.
Output Compression and Post-Processing
Automatically compress API and MCP responses and apply filtering, aggregation, and transformation before the data reaches the model. Reduce payload size by up to 99 percent.
Centralized Governance for API and MCP Access
Monitor, audit, and control every API and MCP tool call from a single admin interface. Apply policies, track usage, and ensure compliance across all AI platforms.
Policy Enforcement
Apply consistent policies across all API and MCP tool calls.
Usage Monitoring
Track every interaction with real-time dashboards and alerts.
Access Controls
Role-based permissions for agents, users, and integrations.
Audit Logs
Complete history of all agent actions for compliance.
Governance Dashboard Video
Run Anywhere. Support APIs and MCP Everywhere.
Deploy agents to ChatGPT, internal copilots, enterprise AI platforms, or custom applications. Apigene abstracts APIs and MCP servers so your agents work consistently across environments.
Platform Compatibility Diagram
Simple, Transparent Pricing
Choose Pro for fast setup, or Enterprise for custom security, scale, and controls.
- 10 Copilot users
- 100K Tool Calls per month
- Multi-tenant SaaS deployment
- Standard support
- Everything in Pro, plus:
- High-volume Copilot & MCP Client users (custom quota)
- High-volume Tool Call capacity (custom quota)
- Bring your own LLM model
- Flexible Deployment: Cloud, Hybrid, or On-Premise
- Usage Monitoring & Auditing
- Custom Data Retention Policies
- Dedicated Support & SLAs