agentic-ai-mcp-server

Spring Boot application intended to act as an MCP server for an “AI-powered dog adoption scheduling” service. Based on the provided README, it can be built and run as a Docker container exposing an HTTP service on port 8081 (or SERVER_PORT override).

Evaluated Apr 04, 2026 (16d ago)

Repo ↗ DevTools spring-boot mcp agentic-ai scheduling docker java

⚙ 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

README provides no security configuration details (TLS, authN/Z, secrets management, or headers). TLS enforcement score is inferred only from typical Spring Boot defaults, not confirmed by documentation or repository details.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

Use Cases

• Adoption-scheduling assistance workflows for a dog adoption organization
• Agent-driven planning around appointment/scheduling tasks (as an MCP integration target)

Not For

• Production deployments requiring documented MCP server endpoints/tools
• Applications needing documented API contracts, authentication, or rate-limit guarantees
• Security/compliance-sensitive environments without additional documentation and verification

Interface

REST API

GraphQL

gRPC

MCP Server

SDK

Webhooks

Authentication

OAuth: No Scopes: No

No authentication details were provided in the README.

Pricing

Free tier: No

Requires CC: No

Self-hosted; no pricing information provided.

Agent Metadata

Pagination

none

Idempotent

False

Retry Guidance

Not documented

Known Gotchas

⚠ README does not document MCP transport details (e.g., stdio vs HTTP), tool names/schemas, or request/response contracts.
⚠ No authentication/rate-limit/error-handling guidance is documented, making robust agent automation harder.

Alternatives

Use a managed scheduling API (e.g., Google Calendar API) with a well-documented integration layer Build/host an MCP server with explicit tool schemas and OpenAPI/SDK support Adopt a webhook-based scheduling workflow with a dedicated backend and clear API contracts

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API endpoint ↗ Agent guide ↗ Report inaccuracy

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