parking-mcp-server

MCP server that exposes parking-related functionality (e.g., searching/looking up parking or parking availability) to AI agents via the Model Context Protocol.

Evaluated Apr 04, 2026 (0d ago)
Homepage ↗ Repo ↗ Infrastructure mcp ai-agents parking travel tooling location
⚙ Agent Friendliness
45
/ 100
Can an agent use this?
🔒 Security
39
/ 100
Is it safe for agents?
⚡ Reliability
25
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
40
Error Messages
0
Auth Simplicity
70
Rate Limits
20

🔒 Security

TLS Enforcement
50
Auth Strength
30
Scope Granularity
20
Dep. Hygiene
50
Secret Handling
50

No repository/README contents were provided here, so security posture (TLS enforcement, auth model, dependency hygiene, secret handling) cannot be validated. If the server is run locally, network exposure and transport security still matter when used in multi-tenant environments.

⚡ Reliability

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

Use Cases

  • Agent-assisted parking lookup for routing/travel planning
  • Automating responses about nearby parking options
  • Integrating parking search into chat/agent workflows via MCP

Not For

  • Replacing a full-fledged parking management system or transactional booking/payments
  • Real-time access to live inventory unless explicitly implemented and validated by the provider
  • Applications requiring strict compliance guarantees not documented by the package

Interface

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

Authentication

OAuth: No Scopes: No

Auth requirements are not provided in the provided content; MCP servers commonly run locally or behind an authenticated transport, but this cannot be confirmed here.

Pricing

Free tier: No
Requires CC: No

Pricing not provided for this package.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Parking data quality/latency may vary if backed by upstream sources; agents should be prepared for stale or incomplete results.
  • If tool inputs are location/time dependent, agents may need to normalize parameters (time zones, units) before calling tools.
  • Without documented pagination, agents may need to request narrower searches to avoid truncated results.

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

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