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    High-performance MCP server that transforms how AI assistants interact with Asana, enabling complex task hierarchies and batch operations for efficient project management.
    4 npm
    3
    MIT
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    Enables interaction with Asana projects and tasks via the Asana API, supporting listing projects/tasks, creating/updating tasks, and adding comments, with secure authentication and rate-limit handling.
    MIT
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    Enables to interact with Asana through Claude, with read and write tools for tasks, projects, tags, and custom fields, with no destructive operations.
    249 npm
    MIT
  • A
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    A
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    Enables interaction with Tiptap collaborative document services through comprehensive document management, real-time statistics, markdown conversion, and batch operations. Supports creating, updating, searching, and managing collaborative documents with health monitoring and semantic search capabilities.
    14
    11
    MIT
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    A local MCP server that lets you interact with Asana using a personal access token, providing tools to list projects and tasks, search tasks, create and update tasks, and add comments via the Asana REST API.
    8
    14 npm
    MIT
  • A
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    Enables AI agents to read and write Markdown notes in an Obsidian vault over the Model Context Protocol, with concurrency-safe edits and optional write restrictions.
    MIT
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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
    2
    MIT
  • A
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    Enables Claude to collaborate with Gemini for code reviews, second opinions, and iterative software development. It facilitates multi-step workflows including PRD creation and code generation through an AI orchestration framework.
    2
    43 npm
    1
    MIT
  • A
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    This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.
    41
    65 npm
    2
    MIT
  • A
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    Enables collaboration between multiple AI models (GPT, Claude, Gemini) to work together on complex tasks, with intelligent task distribution and role-based expert assignment for code development, review, and optimization.
    18
    20 npm
    49
    MIT
  • A
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    Publishes a shared MCP endpoint where API-key users in different groups see and call only the tools their policies permit, mixing remote upstream tools with local ones. Tool discovery and execution are both filtered, hidden-tool calls are denied before their handlers run, and every action is tagged with subject and group in structured JSON logs.
    MIT
  • A
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    A
    maintenance
    Provides a local-first memory layer for coding agents, storing principles, rules, and corrections on-device and surfacing them at the moments they apply so agents act on the intended outcomes without sending data to the cloud.
    14,775 npm
    2
    AGPL 3.0
  • A
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    maintenance
    Enables coding agents in different editors and MCP clients to share messages, project context, notes, task ownership, handoffs, and advisory file claims through a local SQLite-backed coordination server. Supports MCP stdio, MCP Streamable HTTP, a JSON HTTP API, and a local CLI for multi-project agent collaboration.
    MIT