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Jelly FastMCP

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A FastMCP-based server that exposes the Jelly API as MCP tools, enabling management of conversations, labels, contacts, drafts, and more through natural languag

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Описание

A FastMCP-based server that exposes the Jelly API as MCP tools, enabling management of conversations, labels, contacts, drafts, and more through natural language.

README

A FastMCP-based Model Context Protocol (MCP) server for the Jelly API. It exposes the API as MCP tools for creating, reading, updating, and managing conversations, labels, contacts, drafts, autoresponder settings, comments, and more.

Prerequisites

  • Python 3.12+
  • uv (recommended)

Configuration

Configure the following environment variables to authenticate and set defaults:

Environment Variable Description
JELLY_API_TOKEN Jelly API token from Settings → API Tokens
JELLY_BASE_URL Optional override for the API base URL. Defaults to https://app.letsjelly.com/api

Running

Direct execution

uv run server.py

Install editable

uv pip install -e .

This registers the jelly-mcp command.

Claude Desktop example

To use this with Claude Desktop (or other MCP hosts), add the following configuration.

Using sh -c allows the use of $HOME (or other environment variables) dynamically across different user machines/setups, since most MCP hosts do not perform shell expansion on paths:

{
  "mcpServers": {
    "LetsJelly": {
      "command": "sh",
      "args": [
        "-c",
        "uv --directory \"$HOME/.agents/Jelly-FastMCP\" run server.py"
      ],
      "env": {
        "JELLY_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

Note: If you prefer not to use sh -c, replace "command" with "uv" and use the absolute path in the "--directory" argument.

Available tools

Conversations

  • list_conversations
  • search_conversations
  • get_conversation
  • list_conversation_messages
  • list_conversation_comments
  • add_comment
  • archive_conversation / unarchive_conversation
  • trash_conversation / restore_conversation_from_trash
  • spam_conversation / unspam_conversation
  • snooze_conversation / unsnooze_conversation
  • ignore_conversation
  • set_conversation_mailboxes
  • assign_conversation / unassign_conversation
  • add_conversation_label / remove_conversation_label

Messages and drafts

  • get_message
  • create_draft_conversation
  • create_draft_reply
  • update_draft
  • resolve_attachment_download_url

Labels, members, and mailboxes

  • list_labels
  • create_label
  • update_label
  • delete_label
  • list_members
  • list_mailboxes
  • list_mailbox_members

Contacts and settings

  • find_contact_by_email
  • upsert_contact
  • get_autoresponder
  • update_autoresponder
  • list_saved_replies

Resources

  • jelly://conversations/{conversation_id}/markdown — LLM-friendly markdown view of a conversation

from github.com/js-cohn/Jelly-FastMCP

Установка Jelly FastMCP

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/js-cohn/Jelly-FastMCP

FAQ

Jelly FastMCP MCP бесплатный?

Да, Jelly FastMCP MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Jelly FastMCP?

Нет, Jelly FastMCP работает без API-ключей и переменных окружения.

Jelly FastMCP — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Jelly FastMCP в Claude Desktop, Claude Code или Cursor?

Открой Jelly FastMCP на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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