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ENJA

wanderlog-mcp

MCP Server

shaikhspeare/wanderlog-mcp

An MCP server that enables AI agents to create, view, and manage Wanderlog travel itineraries directly through natural language conversation.

98 43MITUpdated 2026-08-10

Overview

The wanderlog-mcp package connects LLMs and AI agents with the Wanderlog travel planning platform via the Model Context Protocol. It provides comprehensive tools for searching destinations, building multi-day itineraries, adding hotels, transit, notes, checklists, and managing travel budgets completely through chat.

Capabilities

  • List and view user trips and itineraries
  • Search places, hotels across aggregators, and public travel guides
  • Create and update trips, dates, day headers, and sections
  • Add, edit, or remove places, notes, transit, car rentals, and checklists
  • Track trip budget expenses and journal stops

Best for

Generating multi-day travel itineraries automatically with places, transit, and hotels, Searching and reading public travel guides for destination inspiration, Managing trip expenses and logging travel journal entries, Organizing pre-trip and daily checklists via conversational prompts

Works with

Claude CodeCodexChatGPTCursorGitHub Copilot
Evoa Score breakdown= Σ (score × weight)
75
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%85 → +12.8

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%34 → +4.1

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%90 → +9.0

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%57 → +4.6

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total75.5 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Authentication relies on capturing the browser session cookie (connect.sid) which has HttpOnly protection and is stored locally in client config files without external relay servers.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.