puzzle-academy-mcp-server

MCP server package intended to expose “Puzzle Academy” capabilities to AI agents via the Model Context Protocol (MCP). Based on the provided package name only, the exact tool set, configuration, and endpoints are not verifiable from the prompt.

Evaluated Apr 04, 2026 (27d ago)
Homepage ↗ Ai Ml mcp ai-agents integration puzzle-academy
⚙ Agent Friendliness
34
/ 100
Can an agent use this?
🔒 Security
36
/ 100
Is it safe for agents?
⚡ Reliability
20
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
25
Error Messages
0
Auth Simplicity
50
Rate Limits
20

🔒 Security

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

No security-related repository facts were provided. Scores reflect uncertainty: MCP servers often run over HTTPS/WebSocket depending on deployment; authentication/authorization and secret handling cannot be verified from the prompt alone.

⚡ Reliability

Uptime/SLA
0
Version Stability
30
Breaking Changes
30
Error Recovery
20
AF Security Reliability

Use Cases

  • • Let an AI agent interact with Puzzle Academy-related workflows/content through MCP tools
  • • Integrate Puzzle Academy functions into agentic automations and research workflows

Not For

  • • Use as a general-purpose puzzle platform without verifying supported MCP tools
  • • Production use without confirming authentication, rate limits, and operational characteristics in the repository/documentation

Interface

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

Authentication

OAuth: No Scopes: No

No authentication details were provided in the prompt content; cannot confirm whether the MCP server requires auth, supports API keys, or runs locally without auth.

Pricing

Free tier: No
Requires CC: No

Pricing information not provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • ⚠ Without repository/docs, MCP tool schemas, required arguments, and error formats may be unclear to the agent
  • ⚠ MCP servers sometimes assume a specific runtime (Node/Python) and environment variables; mismatches can cause agent failures
  • ⚠ Lack of confirmed rate-limit/error-code guidance can lead agents to retry incorrectly or overwhelm the service

Alternatives

Direct integration with the Puzzle Academy backend/API (if available) Use a different MCP server or existing SDK/integration specific to your target Puzzle Academy features

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API endpoint ↗ Agent guide ↗ Report inaccuracy

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

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
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