Connect AI agents to any API with hosted MCP servers
From $6.99/mo (free plan available)Visit WebsiteFreemiumVisit Website
Tracked since2026
The Bottom Line
- Price
- From $6.99/mo (free plan available). Compare plans
Key facts
- Transforms REST/GraphQL APIs into hosted MCP servers for AI agents.
- Offers visual builder and AI agent integration for server creation and management.
- Supports diverse authentication methods and secure credential handling for real-world APIs.
Pros
- Simplifies AI agent integration with complex APIs by providing a standardized MCP interface.
- Offers flexible server creation methods, catering to both visual and agent-driven workflows.
- Ensures high security for API credentials with encryption and masking.
- Supports a wide range of real-world API types and authentication mechanisms.
- Enables creation of multi-step workflow tools for agents.
Cons
- Reliance on JMESPath for output mapping might require a learning curve for some users.
- The number of active MCP servers and API calls are limited on lower-tier plans.
- Advanced enterprise features and custom limits require direct contact, indicating potential complexity for large-scale deployments.
What is API to MCP?
API to MCP provides hosted MCP (Multi-Modal Communication Protocol) servers that allow AI agents and large language models to interact with real-world APIs. It transforms REST and GraphQL APIs from public services, SaaS platforms, and internal business systems into remote HTTP MCP servers. The platform handles authentication (OAuth, API key, Bearer token, Basic Auth), workflow tools, encrypted credentials, and JMESPath output mapping to provide clean, AI-readable JSON responses.
Users can build these MCP servers either through a visual dashboard for hands-on control or via an AI Agent Builder, allowing coding agents to create, update, test, and deploy servers from chat. This enables businesses to expose internal systems like CRM, ERP, HR, finance, and marketing platforms to employees through controlled MCP tools, or to integrate with external services like payment gateways, developer tools, and public data sources, all while ensuring secure credential management and streamlined agent interaction.
Key Features
- Hosted MCP server deployment
- Visual MCP builder for configuration
- AI Agent Builder for agent-driven server creation
- Support for REST and GraphQL APIs
- Multiple authentication methods (OAuth, API Key, Bearer Token, Basic Auth)
- Workflow tools to combine multiple API calls
- JMESPath for structured output mapping
- Encrypted credentials and masked secrets
Pricing Plans
Pricing checked Sep 28, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 / month |
|
| Starter | $6.99 / month |
+3 moreShow less
|
| Professional | $20.99 / month |
+3 moreShow less
|
| Business | $41.30 / month |
+4 moreShow less
|
Included in all plans
- OAuth Client Credentials
- Visual MCP builder
- AI agent integration
- Analytics dashboard
Is API to MCP worth the price?
Good value
The pricing for API to MCP is fair, offering a generous Free tier and a well-priced Professional tier at $20.99/month for significant usage.
The jump to Business at $41.30/month for unlimited usage is also reasonable. This pricing model is best for developers and small to medium businesses needing robust API integration for AI agents.
How API to MCP's pricing compares
At $6.99/mo, billing unit not specified, API to MCP is the most affordable of its 4 comparable direct competitors.
Entry paid plan, monthly. Pricing checked Sep 28, 2026.
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API to MCP FAQ
How does API to MCP facilitate AI agent interaction with diverse APIs?
API to MCP transforms various REST and GraphQL APIs into remote HTTP MCP servers, enabling AI agents and large language models to interact with real-world services. It handles authentication, workflow tools, and provides AI-readable JSON responses through JMESPath output mapping.
Which teams would benefit most from using API to MCP?
Teams looking to integrate AI agents with internal business systems like CRM, ERP, HR, finance, and marketing platforms would benefit. It also serves teams needing to connect AI agents with external services such as payment gateways, developer tools, and public data sources.
How does API to MCP compare to a tool like LangChain?
API to MCP focuses on providing hosted MCP servers to standardize AI agent interaction with any API, including handling authentication and output mapping. LangChain, conversely, is a framework designed for developing applications powered by large language models, offering tools for chaining together different components.
What kind of limitations should users be aware of when using API to MCP?
Users should note that reliance on JMESPath for output mapping may present a learning curve for some. Additionally, lower-tier plans have limits on the number of active MCP servers and API calls, and advanced enterprise features require direct consultation.
Can API to MCP be used to automate multi-step workflows for AI agents?
Yes, API to MCP allows users to create multi-step workflow tools that AI agents can utilize. This enables agents to perform complex sequences of actions across different integrated APIs.
How is API to MCP priced?
API to MCP is available on a free tier, which offers basic usage. Paid plans are available for users who require more extensive usage and additional features.
Does API to MCP provide secure handling of API credentials?
Yes, API to MCP ensures high security for API credentials through encryption and masking. It supports various authentication mechanisms including OAuth, API key, Bearer token, and Basic Auth, with secure credential management.
Source: apitomcp.ai