Two months after introducing Model Context Protocol (MCP) support across its award-winning API platform, Sikka.ai is reporting strong early adoption and measurable productivity improvements among healthcare developers and practices. The AI-API MCP Server, which transforms complex REST API interactions into natural language conversations, is already streamlining workflows for customers building intelligent automation agents in dental and retail healthcare.
"The feedback has been overwhelming," says [Sanjay Rajak, Head of Technology and API] at Sikka.ai. "Developers who previously spent days learning field mappings and endpoint documentation are now building functional AI agents in hours. One partner told us they reduced their integration time from three weeks to two days."
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๐ซ๐จ๐ฆ ๐๐๐๐ก๐ง๐ข๐๐๐ฅ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ฑ๐ข๐ญ๐ฒ ๐ญ๐จ ๐๐๐ญ๐ฎ๐ซ๐๐ฅ ๐๐จ๐ง๐ฏ๐๐ซ๐ฌ๐๐ญ๐ข๐จ๐ง๐ฌ
Traditional healthcare API integrations require developers to navigate hundreds of endpoints, master complex parameter structures, and manually map data fields across different Practice Management Systems (PMS). With approximately 4 million API calls processed daily across Sikka's infrastructure, the company recognized that the future demanded a more intelligent approach.
The MCP Server addresses this by converting natural language queries into structured API requests automatically. Instead of writing:
GET /appointments?status=open&provider=123&start_date=2025-11-12
Developers and AI agents simply ask: "Show me all open appointments for Dr. Smith this week"
The MCP layer handles intent classification, parameter extraction, date parsing, and PMS-specific status normalization, eliminating the technical friction that historically slowed healthcare innovation.
๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐ฆ๐ฉ๐๐๐ญ: ๐๐ฎ๐ฌ๐ญ๐จ๐ฆ๐๐ซ๐ฌ ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐ซ๐๐ฆ๐๐ญ๐ข๐ ๐๐ข๐ฆ๐ ๐๐๐ฏ๐ข๐ง๐ ๐ฌ
Early adopters are implementing the MCP Server across several high-impact use cases:
- ๐๐ ๐๐๐๐๐ฉ๐ญ๐ข๐จ๐ง๐ข๐ฌ๐ญ ๐๐ ๐๐ง๐ญ๐ฌ : Practices are deploying 24/7 virtual assistants that greet patients, check appointment availability, handle scheduling requests, process payments, and update medical notes
- ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐๐ ๐๐จ๐ฅ๐ฅ๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ๐ฌ : A collection bot triggers daily at 6 AM, automatically fetching accounts receivable by patient, filtering balances, retrieving contact information, and sending personalized SMS/email remindersโwithout manual intervention
- ๐๐ฅ๐๐ข๐ฆ๐ฌ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง : Weekly claims bots fetch pending claims, match them with payer contacts, generate compliance reports, and notify administrators through integrated channels including email, and third-party tools like Salesforce or Power BI
- ๐๐ซ๐๐๐ข๐๐ญ๐ข๐ฏ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ ๐๐ง๐ญ๐ฌ : Practices are using MCP-powered agents to fetch revenue, production, and collection KPIs (Sikka tracks over 100 different metrics), apply forecasting algorithms, and automatically push predictive reports to business intelligence platforms
One dental software developer noted: "We used to spend 60% of our development time on API integration and data mapping. Now we spend 90% of our time on actual innovation and user experience. The MCP Server completely changed our development velocity."
๐๐ฎ๐๐ฅ-๐๐ซ๐๐๐ค ๐๐ญ๐ซ๐๐ญ๐๐ ๐ฒ: ๐๐จ ๐๐ข๐ฌ๐ซ๐ฎ๐ฉ๐ญ๐ข๐จ๐ง ๐๐จ๐ซ ๐๐ฑ๐ข๐ฌ๐ญ๐ข๐ง๐ ๐๐ฌ๐๐ซ๐ฌ
Sikka's approach maintains full backward compatibility with its existing v4 REST APIs, which continue to serve over 100 applications in production. The company describes this as a "dual-track" strategy:
- ๐๐ซ๐๐๐ข๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฏ๐ ๐๐๐๐ฌ : Reliable REST endpoints ideal for enterprise-scale integrations and established workflows
- ๐๐ข๐ค๐ค๐ ๐๐ ๐๐๐ ๐ฏ๐ ๐ฐ๐ข๐ญ๐ก ๐๐๐ : AI-friendly agentic layer designed for LLMs, automation tools, and conversational agents
This architecture ensures zero disruption for current REST API users while opening new possibilities for AI-native development.
๐๐จ๐จ๐ค๐ข๐ง๐ ๐๐ก๐๐๐: ๐๐ ๐๐ง๐ญ ๐๐๐ซ๐ค๐๐ญ๐ฉ๐ฅ๐๐๐ ๐๐ง๐ ๐๐๐จ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐ซ๐จ๐ฐ๐ญ๐ก
Building on early momentum, Sikka.ai is expanding its MCP capabilities with several strategic initiatives:
- ๐๐ซ๐-๐๐ฎ๐ข๐ฅ๐ญ ๐๐ ๐๐ง๐ญ ๐๐ข๐๐ซ๐๐ซ๐ฒ : Launching marketplace of ready-to-deploy agents for common workflows (recall management, appointment optimization, revenue cycle automation)
- ๐๐๐ซ๐ญ๐ง๐๐ซ ๐๐จ-๐๐ซ๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐จ๐ ๐ซ๐๐ฆ : Enabling partners to build, register, and monetize custom agents on the Sikka platform
- ๐๐ฑ๐ฉ๐๐ง๐๐๐ ๐๐ง๐๐ฉ๐จ๐ข๐ง๐ญ ๐๐จ๐ฏ๐๐ซ๐๐ ๐ : Continuously adding v4 API endpoints to the MCP layer based on customer demand
- ๐๐จ๐ง๐ญ๐ข๐ง๐ฎ๐จ๐ฎ๐ฌ ๐๐ฆ๐ฉ๐ซ๐จ๐ฏ๐๐ฆ๐๐ง๐ญ : Refining natural language understanding and workflow orchestration based on real-world usage patterns
"We're not just adding more APIsโwe're creating intelligent tools that understand what healthcare providers need," explains [Sanjay Rajak]. "The goal is to make healthcare data truly accessible, not just technically available."
๐๐ฏ๐๐ข๐ฅ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐๐ง๐ ๐๐๐ญ๐ญ๐ข๐ง๐ ๐๐ญ๐๐ซ๐ญ๐๐
The AI-API MCP Server is available immediately to all existing Sikka customers through their API dashboard. New customers can register for an API account at and begin development within 24 hours.
The MCP Server operates on Sikka's enterprise-grade infrastructure, delivering:
- Coverage across 45,000+ practices and 180 million+ patients
- 99.9% uptime SLA
- Retail healthcare-specific performance optimizations
- Real-time decision-making and conversational interface support