quarkus-mcp-server-basic-tool

Provides a “basic” MCP server tool implementation for agents (run via a Java/Quarkus-style artifact) and demonstrates running it through an MCP client (mcp-cli) using an OpenAI provider.

Evaluated Apr 04, 2026 (17d ago)
Repo ↗ DevTools mcp agent-tools java quarkus ai-integration mcp-server
⚙ Agent Friendliness
38
/ 100
Can an agent use this?
🔒 Security
20
/ 100
Is it safe for agents?
⚡ Reliability
20
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
35
Error Messages
0
Auth Simplicity
90
Rate Limits
5

🔒 Security

TLS Enforcement
30
Auth Strength
20
Scope Granularity
10
Dep. Hygiene
40
Secret Handling
5

Based on provided content only: README instructs setting OPENAI_API_KEY in an environment variable but also includes a seemingly hard-coded key-like string in documentation (high risk if replicated/committed). No server-side auth, authorization scopes, TLS requirements, or secret logging protections are described.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
30
Error Recovery
10
AF Security Reliability

Best When

You want a minimal starting point to understand MCP server wiring and tool execution from an external MCP client using Java.

Avoid When

You need strong security controls, documented error/rate-limit behavior, or enterprise reliability/SLA guarantees out of the box.

Use Cases

  • Agent-based task execution via MCP by exposing a small set of server tools
  • Local/dev testing of MCP server integration using Java tooling
  • Building custom agent tool backends in Java and wiring them to an MCP client/provider

Not For

  • Production-grade MCP deployments without additional hardening, monitoring, and documented contracts
  • Use as a secure proxy for sensitive data if auth and secret handling are not implemented in the server/tooling itself

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: OPENAI_API_KEY (for the MCP client/provider in the README flow)
OAuth: No Scopes: No

The README configures the client-side provider authentication via OPENAI_API_KEY. It does not describe any server-side auth/authz for the MCP server itself.

Pricing

Free tier: No
Requires CC: No

README indicates usage of an OpenAI provider through mcp-cli, implying consumption-based model pricing, but no pricing details are provided for this package itself.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • README provides a sample env var containing what appears to be a real-looking API key string; ensure you never commit or expose secrets and use proper secret management in practice.
  • No MCP tool contract details (tool names, input/output schemas, error formats) are shown in the provided content, so agent integration may require inspecting code/release artifacts.
  • No documented guidance on retries, timeouts, or idempotency semantics for MCP tool calls is provided.

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

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