AI Developer Tools

API to MCP

Hosted MCP server builder that converts REST and GraphQL APIs into AI-accessible MCP endpoints with authentication and workflow tools.

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API to MCP

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What is API to MCP?

API to MCP is a hosted service that provides a visual dashboard and AI agent builder to convert REST and GraphQL APIs into MCP servers, enabling AI agents to securely access and interact with external APIs.

API to MCP vs Similar AI Tools

Pricing ModelFree, FreemiumFreeFreeFree
Free Credits
Key Features
  • Visual and Agent Builder modes
  • Support for REST and GraphQL APIs
  • Multiple authentication methods (No Auth, API Key, Bearer, Basic, OAuth)
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Quickly convert existing APIs to MCP without writing code
  • Supports complex authentication flows including OAuth
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Free tier may have usage limits
  • Dependent on API to MCP infrastructure
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • Developers integrating APIs with AI agents
  • Teams building enterprise MCP tools
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use API to MCP?

  1. 1Sign up or log in to the API to MCP dashboard.
  2. 2For Visual Builder: Configure the API base URL, authentication type (e.g., API key, OAuth), and MCP access policy.
  3. 3Define API tools and workflow tools, specifying input schemas and JMESPath output mapping.
  4. 4Test the API requests before deploying.
  5. 5Deploy the MCP server to a hosted Streamable HTTP runtime.
  6. 6Connect the MCP endpoint to AI clients such as ChatGPT, Claude, or Cursor.

API to MCP Key Features

  • Visual and Agent Builder modes
  • Support for REST and GraphQL APIs
  • Multiple authentication methods (No Auth, API Key, Bearer, Basic, OAuth)
  • Workflow tools and JMESPath output mapping
  • Encrypted credential storage
  • Hosted MCP runtime with open or authenticated access
  • Integration with ChatGPT, Claude, Codex, Cursor, and more
  • Free tier available

API to MCP Use Cases

  • Business Platforms (CRM, ERP, HR, finance)
  • Marketing and SEO (Meta Ads, Google Analytics)
  • Commerce and Billing (PayPal, Shopify)
  • Developer tools (GitHub, GitLab, Vercel)
  • Public data APIs (Weather, REST Countries)
  • Content management (WordPress, Contentful, Notion)

API to MCP Pricing & Free Credits

API to MCP currently operates on a Free, Freemium model.

This tool is completely free to use

Free

Free

Free tier available with no credit card required; cancel anytime.

API to MCP Pros & Cons

Pros

  • Quickly convert existing APIs to MCP without writing code
  • Supports complex authentication flows including OAuth
  • Both visual and agent-driven creation workflows
  • Secure credential management and encryption
  • Free tier for testing and small-scale use

Cons

  • Free tier may have usage limits
  • Dependent on API to MCP infrastructure
  • JMESPath learning curve for advanced output mapping

What is API to MCP best for?

  • Developers integrating APIs with AI agents
  • Teams building enterprise MCP tools
  • No-code users wanting to expose APIs to AI
  • SaaS platforms needing MCP integration

API to MCP FAQ

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