Summon transforms existing APIs into AI-ready interfaces, enabling seamless integration with AI clients like ChatGPT and Gemini. The platform simplifies the creation, testing, and deployment of AI agents that can interact with services, offering enterprise-grade security and universal AI compatibility.
Funding
Funding not disclosed
Founders
Product
Problem
Making existing APIs accessible to AI agents requires specialized expertise in AI engineering and product knowledge, creating a gap for developers. This complexity hinders the integration of valuable software capabilities into the rapidly expanding AI ecosystem, limiting user access and automation potential.
Solution
Summon provides a platform that transforms existing APIs into AI-ready interfaces, enabling seamless integration with AI clients such as ChatGPT, Copilot, and Gemini. The platform facilitates the generation, testing, and deployment of Message Communication Protocol (MCP) servers and Agent-to-Agent (A2A) agents directly from OpenAPI specifications and contextual data. This process simplifies the creation of robust tool capabilities for AI agents, allowing them to interact with services efficiently and reliably. Summon also offers enterprise-grade security features, including immutable audit logs, scoped tokens, and LLM guardrails, ensuring secure and compliant AI integrations.
Target Audience
The platform is designed for product and engineering teams seeking to make their APIs accessible to AI agents and integrate their services into the AI-first ecosystem.
Features
- MCP server generation from OpenAPI specifications and contextual data for AI agent compatibility.
- A2A agent development for enabling direct communication between AI agents and services.
- Integrated testing and debugging playground for iterating on tool definitions and optimizing performance.
- Production-ready deployment with secure hosting, authentication mechanisms, and comprehensive observability.
- Universal AI integration supporting major AI clients and platforms through optimized performance.
- Enterprise-grade security features including LLM guardrails, SOC 2, and GDPR compliance.
- Continuous optimization capabilities to refine tool capability designs as AI models evolve.
- Team collaboration features with GitHub synchronization for streamlined development workflows.