java-mcp-client-server
Minimal working example of an MCP setup using Spring AI: an MCP server exposing tools over SSE/WebMVC and an MCP client that connects to the server and uses a Mistral LLM to orchestrate tool calls, with an additional simple frontend to interact with queries.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Provided README does not mention TLS enforcement, authentication/authorization, scopes, rate limits, or secret-management practices. Security posture is therefore assumed to be minimal for a demo. TLS/auth should be explicitly added/verified before any real deployment.
⚡ Reliability
Best When
You want a lightweight educational/demo implementation to understand MCP tool calling with Java/Spring AI and quickly spin up client/server locally.
Avoid When
You need robust authentication, rate-limit documentation, and well-defined error contracts suitable for multi-tenant production use.
Use Cases
- • Learning/prototyping MCP tool integration with Spring Boot and Spring AI
- • Building a small agentic workflow where an LLM can call server-side tools
- • Demonstrating end-to-end wiring of MCP server (SSE) and client orchestration
- • Local development demo with a simple web UI
Not For
- • Production deployments requiring strong security hardening, auth, and operational guarantees
- • Compliance-sensitive environments without documented compliance/security controls
- • Use cases needing a fully documented public API contract (OpenAPI) or SDK
Interface
Authentication
No authentication mechanisms are mentioned in the provided README content; assume none or undocumented.
Pricing
No pricing info provided; likely depends on your chosen Mistral usage and infrastructure costs.
Agent Metadata
Known Gotchas
- ⚠ No auth/rate-limit/error contract details were provided, so agents may need defensive handling (timeouts, retries, and tool-call validation).
- ⚠ SSE-based streaming endpoints can have subtle reconnect/timeout behaviors; without documented guidance, agent integrations should implement robust network retry/backoff at the HTTP client layer.
Alternatives
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Scores are editorial opinions as of 2026-04-04.