weather-mcp-server-wl

weather-mcp-server-wl appears to provide an MCP (Model Context Protocol) server for retrieving weather information for use by AI agents.

Evaluated Apr 04, 2026 (17d ago)
Homepage ↗ Infrastructure mcp weather ai-agents tooling
⚙ Agent Friendliness
36
/ 100
Can an agent use this?
🔒 Security
38
/ 100
Is it safe for agents?
⚡ Reliability
10
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
30
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

No repository manifest/README details were provided here, so scores are conservative. MCP servers that integrate with third-party weather APIs commonly require API keys; secret leakage risks depend on how configuration is handled (e.g., env vars vs logs) and whether the server validates inputs (locations) to prevent abuse.

⚡ Reliability

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

Use Cases

  • AI assistants that answer weather questions (current conditions, forecasts)
  • Workflow automation that needs weather context (routing, scheduling suggestions)
  • Location-based customer support or chatbots needing weather data

Not For

  • High-assurance meteorological operations where authoritative data provenance and SLA are critical
  • Billing/commerce or transactional workflows
  • Use as a general-purpose geospatial database beyond weather

Interface

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

Authentication

OAuth: No Scopes: No

Pricing

Free tier: No
Requires CC: No

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Weather queries may require a location format (city name vs lat/long); ambiguity can cause failures.
  • If the server relies on an upstream weather provider, missing/invalid API keys or provider limits may surface as tool errors.
  • Time-sensitive data: repeated calls may return changing results; agents should avoid assuming deterministic responses.

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

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