spring-boot-ai-mcp-server
Provides a Spring Boot implementation of an MCP (Model Context Protocol) server exposing crypto/news-related tools (search/get latest news, token tracking, sentiment analysis) over HTTP (JSON-RPC) and SSE transports, with SQLite persistence and Caffeine caching.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No authentication/authorization described for MCP endpoints; running over plain HTTP URLs in README (localhost examples) suggests TLS/auth are not addressed. SQLite local storage and logging are mentioned but no details on access controls, data protection, or secret handling. Dependency/security hygiene and CVE status cannot be confirmed from the provided content.
⚡ Reliability
Best When
You want a local or controlled environment MCP server for crypto news tool calling with simple HTTP/SSE integration.
Avoid When
You need robust security controls (auth, scoped permissions) and well-specified operational guarantees (SLA, rate limit policy, error codes) for internet-facing use.
Use Cases
- • Enable AI assistants to query crypto news and token sentiment via MCP tools
- • Provide lightweight local MCP endpoint for development/testing of agent tool use
- • Persist and retrieve tracked crypto tokens/news data
Not For
- • Production-grade multi-tenant deployments requiring strong auth, audit controls, and strict rate limiting
- • Use as a general-purpose data platform outside crypto/news/token sentiment tooling
- • Publicly exposed endpoints without network-level protections
Interface
Authentication
README does not mention any authentication/authorization mechanism for MCP endpoints or any REST APIs.
Pricing
No pricing information provided (appears to be a self-hosted open-source style project).
Agent Metadata
Known Gotchas
- ⚠ SSE endpoint requires correct URL (/mcp/v1/sse) and session handling; README does not document session lifecycle/expiration behavior
- ⚠ If tools appear unavailable, README suggests initialization must be called first (agents should send initialize before tools/call)
- ⚠ No rate-limit or backoff behavior documented, so agents may need conservative retry strategies
Alternatives
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Scores are editorial opinions as of 2026-04-04.