HasMCP

What is HasMCP?

HasMCP is a no-code platform that converts standard HTTP APIs into Model Context Protocol servers in seconds. Instead of writing custom Python or TypeScript wrappers, you import an OpenAPI spec or define endpoints manually, and HasMCP handles the protocol layer. It lets developers connect their existing APIs to AI tools like Claude, ChatGPT, and Cursor without any coding effort.

Top Features:

• OpenAPI Auto-Mapping: import a spec file and generate MCP tools from endpoints automatically.
• Secret Management: store and inject API keys securely into requests from one place.
• Built-In Observability: monitor tool calls with real-time logging and detailed request traces.

Use Cases:

• API Integration: expose internal company APIs to AI assistants without custom code.
• Agent Tooling: give AI agents access to third-party services through MCP connections.
• Rapid Prototyping: test API-to-LLM integrations quickly before building production infrastructure.

Who Can Use HasMCP?

• Backend Developers: connect existing APIs to AI tools without writing protocol code.
• AI Agent Builders: give agents access to external services through standardized MCP servers.
• Enterprise Teams: manage API-to-AI connections centrally with security and audit controls.

Pricing

• Cloud Hobby (Free): includes 250 tool calls per month with pay-as-you-go overages.
• Cloud Pro ($24/month): includes 100k tool calls, team collaboration, and priority support.
• Enterprise (Custom): unlimited calls, dedicated infrastructure, custom SLAs, and white-labeling.

Pros and Cons

Pros:

• No Code Required: create MCP servers from API specs without writing any code.
• Free Tier Available: hobby plan lets individuals start building at zero cost.
• Open Source Option: community edition available on GitHub for self-hosted deployments.

Cons:

• MCP-Specific: only useful if your AI tools support the Model Context Protocol.
• Call Limits: free tier caps at 250 monthly calls, which fills up fast.
• New Platform: smaller community means fewer tutorials and third-party resources available.

FAQs:

1) What is the Model Context Protocol?

MCP is a standard that lets AI models interact with external tools and APIs.

2) Do I need coding skills to use HasMCP?

no, you can import an OpenAPI spec and generate servers without writing code.

3) Which AI tools work with HasMCP?

it works with Claude Desktop, ChatGPT, Cursor, Gemini, and other MCP clients.

4) Is there a self-hosted option?

yes, the community edition is available on GitHub for free self-hosted deployment.

5) How does HasMCP handle authentication?

it supports OAuth2 flows and centralized secret management for secure API access.