mcp-server-and-client-with-spring-ai

Provides a demo of a Model Context Protocol (MCP) server and client built with Spring Boot and Spring AI. The server exposes REST endpoints for managing medical patients and reports and integrates Spring AI MCP for context-rich interactions with an AI model; the client consumes the server and provides a client-side UI/endpoints for structured requests/responses.

Evaluated Apr 04, 2026 (16d ago)

Repo ↗ Ai Ml mcp spring-ai spring-boot java rest-api ai-integration client-server

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

/ 100

Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality

Documentation

Error Messages

Auth Simplicity

Rate Limits

🔒 Security

TLS Enforcement

Auth Strength

Scope Granularity

Dep. Hygiene

Secret Handling

Provided content does not document authentication/authorization, rate limits, or secure secret handling practices. The project mentions medical/patient data, so stronger controls (access control, audit logging, encryption at rest/in transit details, and compliance posture) would be essential but are not evidenced in the supplied README.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

Best When

As a learning/reference implementation for integrating MCP with Spring AI and structuring an AI-enabled backend/frontend split.

Avoid When

When you require a well-documented, production-grade API surface with clear auth/rate limits, operational SLAs, and audited security practices.

Use Cases

• Building MCP-based AI applications with Spring AI
• Creating context-rich AI workflows over domain data (patients/medical reports)
• Prototyping a split client/server architecture where the server orchestrates AI calls
• Demonstrating end-to-end integration between MCP context handling and Spring Boot REST services

Not For

• Production medical systems that require certified compliance and robust security controls (as described, this appears to be a demonstration repo)
• Use cases needing fully specified and verifiable API contracts, authentication, and operational guarantees

Interface

REST API

Yes

GraphQL

gRPC

MCP Server

Yes

SDK

Webhooks

Authentication

OAuth: No Scopes: No

README does not describe authentication/authorization mechanisms for the REST endpoints or MCP interface.

Pricing

Free tier: No

Requires CC: No

Open-source demo repository; any AI/model costs depend on the configured model provider (not specified in provided content).

Agent Metadata

Pagination

none

Idempotent

False

Retry Guidance

Not documented

Known Gotchas

⚠ No explicit, agent-focused contract details are provided (e.g., MCP tool schemas, endpoint request/response formats, or error code conventions).
⚠ Medical domain implies sensitive data; without documented auth and data-handling controls, agents should be cautious in what they transmit and log.
⚠ Idempotency and retry semantics for POST endpoints are not described, so automated retry could duplicate writes.

Alternatives

Use Spring AI MCP integration directly in your own services Generic MCP server/client templates from the MCP ecosystem Standard Spring Boot REST + your chosen AI orchestration layer without MCP (if context management is not needed)

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API endpoint ↗ Agent guide ↗ Report inaccuracy

Scores are editorial opinions as of 2026-04-04.