ai.com.mcp/contabo
Overview
HAPI MCP server dynamically exposes OpenAPI REST APIs as MCP tools for AI assistants
Capabilities
- • prompt templates
- • authentication support
- • browser automation integration
- • github integration
- • mcp client integration
- • workflow automation support
Best For
HAPI MCP server: Dynamically expose OpenAPI REST APIs as MCP tools for AI assistants
Decision Snapshot
Docs
3 links
Capabilities
6 key capabilities detected
- • GitHub stars: 8
- • Source provenance count: 2
- • Official signal: Official source: MCP registry provenance.
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 4/7/2026
Features
- • **Faster time-to-value:** Turn specs into agent-ready tools in minutes. Update the spec, ship new tools instantly.
- • **Reduced risk:** Permissions, auth, rate limits, auditability are inherited from your APIs—governance without bolt-ons.
- • **Scales with you:** runMCP delivers serverless-like elasticity with long-running when needed. Cold-start fast, stay warm for throughput.
- • **Deterministic orchestration:** OrcA plans and executes multi-tool tasks predictably—no brittle prompt chaining.
- • **Executives:** Ship AI initiatives without ballooning cost. Keep teams focused on outcomes, not rewrites and integration sprawl.
- • **Engineers & Ops:** Deploy once. HAPI Server + runMCP scale tools; QBot/chatMCP give fast feedback; OrcA keeps executions deterministic.
- • Explore the Docs
- • See HAPI Server
Use Cases
- • Supports capabilities such as: prompt templates; authentication support; browser automation integration.
- • Common usage themes: mcp.
Supported Clients / Integrations
- • prompt templates
- • authentication support
- • browser automation integration
- • github integration
- • mcp client integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: HTML
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 0.70
- • Source provenance includes MCP Registry
- • Source feeds: MCP Registry API
- • Topic cluster: documentation
Official Links
Source Information
You can verify all information on this page against the source repository above.
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