sufy-mcp-server

An MCP (Model Context Protocol) server package named sufy-mcp-server, intended to expose “Sufy” capabilities as MCP tools so AI agents can call them in a standardized way.

Evaluated Apr 04, 2026 (21d ago)
Homepage ↗ DevTools mcp ai-agents server integration automation
⚙ Agent Friendliness
42
/ 100
Can an agent use this?
🔒 Security
38
/ 100
Is it safe for agents?
⚡ Reliability
24
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
45
Error Messages
0
Auth Simplicity
50
Rate Limits
20

🔒 Security

TLS Enforcement
50
Auth Strength
30
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
40

Security posture cannot be confirmed from the provided prompt content. MCP servers should enforce TLS, authenticate requests, avoid logging secrets, and validate tool inputs; verify these in the repository code and deployment docs.

⚡ Reliability

Uptime/SLA
0
Version Stability
30
Breaking Changes
30
Error Recovery
35
AF Security Reliability

Use Cases

  • Agent-driven automation of Sufy-related actions via MCP tools
  • Connecting an LLM agent runtime to Sufy functions without bespoke integration per agent

Not For

  • Direct end-user web/API consumption (unless separately wrapped)
  • High-assurance production use without reviewing the code, configuration, and deployment security

Interface

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

Authentication

OAuth: No Scopes: No

No auth details were provided in the prompt content; auth expectations (if any) should be verified in the repository README/config.

Pricing

Free tier: No
Requires CC: No

No pricing information was provided; MCP server packages are typically self-hosted.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • MCP tool semantics (side effects/idempotency) may not be clearly documented—agents could re-run non-idempotent actions on retries.
  • Auth and environment configuration may be repository-specific; without explicit docs, agent integration can be fragile.
  • Tool schemas may be incomplete or inconsistently typed, causing agent call failures.

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

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