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by Qwinty • Automation & Orchestration
A local MCP server that exposes the Anytype desktop API to MCP clients and AI assistants for searching, reading, creating, and managing Anytype data.
Search and list objects or spaces from a local Anytype workspace with token-efficient summarized metadata.
Retrieve full formatted text content from Anytype objects (using include_text) for summarization or context-aware responses.
Create, delete, export (markdown), or manage list views and members inside Anytype programmatically via MCP tools.
This repository implements a Model Context Protocol (MCP) server that connects to a locally running Anytype Desktop instance and exposes endpoints for spaces, objects, searches, exports, and list management. It supports fetching simplified metadata by default to save tokens, with optional full-text and raw-response modes when more detail is needed. The server is built for Node.js and requires an Anytype app key and the Anytype desktop app to be running locally. It is licensed MIT and intended for use by AI assistants and other MCP clients to interact with Anytype workspaces programmatically.
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