Product memo
Developers and AI agents use API to MCP to convert existing APIs into hosted MCP servers. It offers a visual builder for hands-on control and an AI agent builder for automated creation. This approach makes APIs consumable by AI agents through secure, managed endpoints, narrowing the focus to a specific integration need.
For who
Developers and AI agents
Solves what
Turns APIs into hosted MCP servers for AI agents.
- Visual and AI agent builders
- Supports REST, GraphQL, OAuth
- Hosted HTTP runtime
In their own words
Build hosted MCP serversfor real APIs, from the UIor your AI agent
Turn REST and GraphQL APIs from public services, SaaS platforms, and internal business systems into hosted remote HTTP MCP servers with OAuth, API key, Bearer token, Basic Auth, workflow tools, encrypted credentials, and JMESPath output mapping.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • Recommended adds 15 active MCP servers.
- • Free tier lowers testing friction.
Operator context
Operating setup
Platform
Web app
Audience
Developers
Social footprint
Market demand
API to MCP keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Small Team
About API to MCP Expand
API to MCP provides a specialized platform for developers and AI agents to transform existing APIs into hosted MCP servers. This service addresses the specific challenge of enabling AI agents to interact with real-world data and services through secure, managed endpoints.
It supports various authentication methods, including OAuth, API Key, and Basic Auth, along with workflow tools and JMESPath output mapping. The platform's dual approach, offering both a visual builder for granular control and an AI agent builder for automation, caters to diverse technical preferences within the AI development community.
This focused positioning helps developers integrate external data sources into their AI applications more effectively.