Paperclip MCP server
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- FlicenseNot gradedqualityAmaintenanceGives AI agents access to a persistent document workspace so they can search, read, and update knowledge through 22 focused tools, 2 prompts, and 3 resources, with batch actions and direct workspace-item inspection. Runs either as a hosted Streamable HTTP endpoint with OAuth or API keys, or as a self-hosted stdio bridge pointed at your own instance.-
- AlicenseNot gradedqualityBmaintenanceEnables agents to create and update issues, post comments, and manage docs in a self-hosted issue tracker, with changes visible live in the web UI.23 npm2MIT
TDQS
Scored across 16 tools
Most tools target a distinct resource and action, with clear singular/plural pairs such as issue/issues and document/documents. The main ambiguity is paperclip_context vs paperclip_heartbeat_context, but their descriptions differentiate current run/wake state from an issue-specific heartbeat.
All tools share the paperclip_ prefix and follow a predictable pattern: read operations use resource nouns while mutations use resource_action naming like paperclip_issue_create and paperclip_comment_add. The paperclip_raw fallback is clearly labeled and does not disrupt the overall convention.
At 16 tools the surface is slightly above the ideal 3-15 range, but the count is justified by the domain: issue lifecycle, comments, documents, agent lookup, context retrieval, and a raw fallback each have a distinct purpose. Nothing feels redundant or excessive.
The core issue workflow is well covered: list/get/create/update/checkout/release, plus comments, documents, agents, and context. Minor gaps such as no explicit delete or comment edit exist, but the update operations and paperclip_raw fallback give agents practical workarounds.