Clink MCP Server
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- FlicenseNot gradedqualityNot gradedmaintenanceA production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.2-
- AlicenseNot gradedqualityBmaintenanceEnables persistent per-project agent teams to coordinate goals through editable rosters, durable participant threads, messages, tasks and dependencies, captured evidence, human approvals, and lead verification.17 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to coordinate open projects by registering, creating and claiming tasks, submitting and reviewing work, electing coordinators, and chatting in a shared lobby.6 npmMIT
- AlicenseNot gradedqualityAmaintenanceConnects multiple AI agents (Codex, Claude Code, Grok, etc.) into a coordinated, auditable team with shared memory, task ownership, and human oversight, enabling parallel collaboration without conflicts.241Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables secure coordination between multiple LLM agents through authenticated messaging, status updates, and conversation management. Features automatic secret redaction, rate limiting, and audit trails for safe multi-agent collaboration in development environments.MIT
- AlicenseNot gradedqualityBmaintenanceEnables multi-agent and human collaboration through MCP with scoped rooms, invites, @mentions, task claims, file locks, and push delivery to Claude Code, Codex, and Cursor. Provides cross-company safety, human review, and MCP/A2A protocols for coordinated agent work.16 npmApache 2.0
TDQS
Scored across 32 tools
Most tools have distinct purposes targeting specific resources (e.g., milestones, checkpoints, proposals, clinks), but some potential overlap exists. For example, 'check_inbox' and 'get_clinks' both retrieve clinks, though their descriptions clarify different use cases (inbox vs. general retrieval). The 'complete_checkpoint' and 'cast_vote' tools might be confused if a checkpoint requires consensus, but their descriptions help differentiate them.
Tool names follow a highly consistent verb_noun pattern throughout, using snake_case uniformly. Examples include 'add_checkpoint', 'archive_project', 'list_milestones', and 'update_project'. There are no deviations in naming conventions, making the set predictable and easy to parse.
With 32 tools, the count is borderline high for a project management and collaboration server. While the domain is broad (covering milestones, projects, proposals, clinks, and groups), the number feels heavy and could overwhelm agents. A more streamlined set of 15-25 tools might be more appropriate for the scope.
The tool set provides comprehensive CRUD and lifecycle coverage for all core domains: milestones (create, get, list, update, reopen, add/update/delete/complete checkpoints), projects (create, get, list, update, complete, archive, reopen), proposals (create, get, list, cast_vote, finalize), and clinks (send, get, check_inbox, claim, complete, release). No obvious gaps exist; agents can perform full workflows without dead ends.