raino-mcpserver-demo

This package appears to be an MCP server demo (raino-mcpserver-demo), intended to showcase how to expose tools/actions via the Model Context Protocol (MCP). No README/repo contents were provided here, so specific tools, endpoints, and behaviors cannot be verified.

Evaluated Apr 04, 2026 (27d ago)
Homepage ↗ DevTools mcp agent-tools developer-tools demo integration
⚙ Agent Friendliness
34
/ 100
Can an agent use this?
🔒 Security
34
/ 100
Is it safe for agents?
⚡ Reliability
18
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
40
Documentation
30
Error Messages
0
Auth Simplicity
50
Rate Limits
10

🔒 Security

TLS Enforcement
50
Auth Strength
20
Scope Granularity
10
Dep. Hygiene
50
Secret Handling
50

No concrete security implementation details were provided. Scores reflect uncertainty typical of unreviewed demo packages: TLS/auth/scoping cannot be verified, and secret handling/dependency hygiene are unknown.

⚡ Reliability

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

Use Cases

  • Demonstrating MCP server wiring/tool exposure for an AI agent platform
  • Local development/testing of MCP tool calling
  • Learning/reference implementation for MCP server structure

Not For

  • Production-critical integrations without reviewing the actual implementation
  • Handling sensitive operations without confirmed authentication/authorization and security controls

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. As a demo, it may run without auth, but this cannot be confirmed from the available data.

Pricing

Free tier: No
Requires CC: No

No pricing/licensing information was provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • As it is a demo, tool schemas, input/output validation, and error-handling guidance may be incomplete
  • Without confirmed rate-limit and retry guidance, agents may need conservative retry/backoff behavior

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

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