spring-ai-mcp-server-client
Provides a demo Spring AI MCP (Model Context Protocol) server that exposes simple tool/function-calling (math: sum/multiply) over SSE, and a client component that connects to that MCP server and offers a REST endpoint (/question) to accept user questions and produce model completions using OpenAI.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforcement for SSE/REST endpoints is not stated; Spring Boot defaults may apply but should not be assumed from the README. Auth is not documented for MCP server/SSE or the client REST endpoint; OpenAI API key is used by client via configuration. TRACE logging for MCP-related packages is enabled in example config, which can increase risk of sensitive data in logs if left on.
⚡ Reliability
Best When
You want a minimal reference implementation to understand Spring AI MCP integration and tool-calling flow (SSE + function callbacks) quickly.
Avoid When
You need enterprise-grade security controls, clear rate limiting/error semantics, or long-term backward-compatibility guarantees based on documented release practices (not evidenced here).
Use Cases
- • Demonstrate or prototype MCP server/client integration with Spring AI
- • Expose specific backend functions/tools (e.g., math utilities) to an LLM via MCP
- • Build a simple interactive service that accepts user input via REST and routes execution through MCP tool calling
- • Learning/reference implementation for SSE-based MCP transport with Spring Boot
Not For
- • Production deployments requiring robust authn/authz, rate limiting, and hardened error handling by default
- • Use cases needing full-featured tool marketplaces, complex pagination, or standardized API contracts beyond the demo
Interface
Authentication
No auth for the described MCP/SSE endpoints or the client REST endpoint is documented in the README content provided.
Pricing
No pricing for the project itself is stated; OpenAI API usage may incur costs from the client component.
Agent Metadata
Known Gotchas
- ⚠ README indicates SSE + MCP; agent reliability may depend on SSE connection stability and timeouts (not documented).
- ⚠ Logging level is configured to TRACE for MCP components; running at TRACE in production can leak sensitive data or increase log noise if not managed carefully.
- ⚠ Auth/rate limiting for the REST endpoint and SSE endpoints is not documented; agents should not assume protection is present.
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Scores are editorial opinions as of 2026-04-04.