Basecamp 2 MCP
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- AlicenseBqualityDmaintenanceEnables AI assistants to interact with Basecamp projects through natural language commands. Supports managing projects, to-do lists, messages, and creating tasks with full content rendering capabilities.674 npmISC
- AlicenseBqualityDmaintenanceConnects Basecamp workspaces to AI tools, enabling management of projects, messages, todos, and schedules through natural language interactions. Features persistent caching and supports both reading workspace data and performing actions like creating messages and updating todos.10MIT
- AlicenseCqualityBmaintenanceEnables AI assistants to automate Basecamp operations including project management, cards, todos, comments, and people via MCP tools.92GPL 2.0
- AlicenseAqualityAmaintenanceEnables LLMs to interact with Basecamp projects, managing messages, todos, comments, people, and kanban boards through natural language. Supports comprehensive Basecamp operations including creating, reading, updating content with flexible output formats and URL parsing capabilities.5774 npm2MIT
- FlicenseNot gradedqualityAmaintenanceEnables MCP-capable clients like Codex, Cursor, and Claude Desktop to read and manage Basecamp 3 projects through OAuth-authenticated API calls. Exposes tools for projects, todos, message boards, card tables, documents, uploads, comments, webhooks, and search.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP-capable clients such as Codex, Cursor, and Claude Desktop to read and manage Basecamp 3 projects through OAuth-authenticated API calls, covering projects, todos, messages, card tables, documents, uploads, and search. It exposes these capabilities as tools for browsing, creating, updating, and organizing Basecamp content via natural language.-
TDQS
Scored across 17 tools
Most tools target distinct resource+action pairs (todo, todolist, project, person, message). Minor overlap exists between list_topics and get_message/create_message since messages are a subset of topics, and get_me vs get_person/list_people could momentarily confuse, but overall boundaries are clear.
Every tool follows a consistent verb_noun snake_case pattern: list_x, get_x, create_x, update_x, complete_x, delete_x. Even get_me fits the convention, making the set highly predictable.
17 tools is slightly heavy but well-scoped across five resources (projects, todolists, todos, messages, people). Each tool earns its place, with no obviously redundant entries.
Todos have full lifecycle (create/get/list/update/complete/delete), but todolists lack update/delete, messages lack update/delete (and only list_topics surfaces them), and projects lack create/update/delete. These notable gaps leave dead ends for common management workflows.