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pandanpc

pandanpc

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pandanpc.comAI & Agents0Updated 10w ago
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About pandanpc

pandanpc is an MCP server for managing PandaNote, workspaces, AI model configurations, scheduled tasks, and agent connections. It is distributed through an npm installer that fetches a platform-specific binary.

Key features

  1. 01Create and search PandaNote notes
  2. 02Manage workspaces and AI models
  3. 03Manage agent connections
  4. 04Create and toggle scheduled tasks
  5. 05Sync Claude rules and skills

Use cases

  1. 01Search notes using full-text or semantic queries
  2. 02Maintain workspace and model configurations
  3. 03Manage remote Claude Code or Codex connections
  4. 04Sync Markdown rules and skills to PandaNote

MCP support

The MCP server exposes PandaNote, workspace, model, scheduled-task, and agent-connection tools to MCP clients. It supports stdio and an HTTP mode.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "com-pandanpc": {
      "command": "npx",
      "args": [
        "-y",
        "@pandanpc/mcp-server"
      ]
    }
  }
}
Run commandnpx -y @pandanpc/mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@pandanpc/mcp-server0.1.22

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

PandaNpc MCP Server

PandaNpc MCP Server — expose PandaNote, workspaces, AI models, scheduled tasks, and Agent connection management to Codex, Claude Code, Cursor, Windsurf, and other MCP clients.

Homepage: https://pandanpc.com · npm: @pandanpc/mcp-server

Installation

npm install -g @pandanpc/mcp-server

The postinstall script downloads the matching prebuilt binary for your platform (Linux x64, macOS x64/arm64, Windows x64).

Claude Code

claude mcp add pandanpc -- pandanpc-mcp

Or in config JSON:

{
  "mcpServers": {
    "pandanpc": { "command": "pandanpc-mcp" }
  }
}

Codex

~/.codex/config.toml:

[mcp_servers.pandanpc]
command = "pandanpc-mcp"

Cursor / Windsurf

Add an MCP server with command pandanpc-mcp (stdio). HTTP/SSE mode: pandanpc-mcp --http --port 3100.

Available tools

  • note_login — log in to your PandaNpc account
  • Workspaces: list_workspaces / create_workspace / update_workspace / delete_workspace
  • Notes: list_notes / create_note / read_note / update_note / delete_note / search_notes (full-text + semantic) / generate_note_title
  • AI models & providers: list_models / create_model / list_providers / create_provider / …
  • Agent connections: list_agent_connections / create_agent_connection — manage Claude Code / Codex / PandaCode remote connections
  • Scheduled tasks: list_scheduled_tasks / create_scheduled_task / toggle_scheduled_task / …
  • sync_rules — sync .claude/rules/ and .claude/skills/ Markdown to PandaNote

Call note_login first to authenticate.

About

This repository hosts documentation and issue tracking for the PandaNpc MCP server. The server ships as prebuilt binaries via the npm installer above (installer is MIT-licensed; the binary is proprietary freeware). Learn more at pandanpc.com.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.