anyproto/anytype-mcp

An MCP server enabling AI assistants to interact with Anytype - your encrypted, local and collaborative wiki - to organize objects, lists, and more through natural language.

What it solves

This project provides a bridge between AI assistants and the Anytype knowledge base. It allows users to manage their personal knowledge management system through natural language conversations with an AI, rather than manually interacting with the app's interface.

How it works

It implements the Model Context Protocol (MCP), converting Anytype's OpenAPI specification into a set of tools that an AI assistant can call. By connecting to the Anytype API, the server enables the AI to perform actions like creating spaces, adding objects, and managing lists.

Who it’s for

Users of Anytype who want to automate their knowledge organization or interact with their data using AI-powered tools like Claude Desktop, Cursor, or LM Studio.

Highlights

  • Natural Language Management: Manage your knowledge base via conversation.
  • Broad API Coverage: Supports global and space search, spaces, members, objects, lists, properties, tags, types, and templates.
  • ** layanan MCP**: Compatible with a wide range of MCP clients including Claude Desktop, Cursor, Windsurf, and Raycast.

Related

  • Project
    argoproj-labs/mcp-for-argocd

    An MCP server that enables AI assistants to interact with Argo CD applications through natural language, providing a comprehensive set of tools for cluster and application management.

  • Project
    dbt-labs/dbt-mcp

    An MCP server that gives AI agents the tools to interact with dbt projects, allowing them to execute SQL, analyze data lineage, and manage dbt pipelines.

  • Project
    AminForou/mcp-gsc

    An MCP server that connects Google Search Console to AI assistants, enabling SEO analysis and site management through natural language conversations.

  • Project
    homeassistant-ai/ha-mcp

    ha‑mcp is an unofficial Home Assistant Model Context Protocol server that lets LLM assistants (Claude, ChatGPT, Gemini, etc.) fully read, control, and configure a Home Assistant instance. Install via the HA‑MCP custom component (HACS) or as a Home Assistant add‑on/Docker/PyPI server, obtain a secret webhook URL, and point your AI client at it. The server exposes 87 tools covering device control, automation/script creation, dashboard editing, backups, logs, and safety policies, enabling natural‑language management of the entire smart‑home setup.

  • Project
    cbcoutinho/nextcloud-mcp-server

    A production-ready MCP server that connects AI assistants to Nextcloud, enabling LLMs to perform CRUD operations on notes, calendars, and files via natural language.