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kelvin6365

Plane MCP Server

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JavaScript
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Сервер MCP Plane

значок кузнеца

Сервер Model Context Protocol (MCP), который позволяет LLM взаимодействовать с Plane.so , позволяя им управлять проектами и проблемами через API Plane. Используя этот сервер, LLM, такие как Клод, могут напрямую взаимодействовать с вашими рабочими процессами управления проектами, сохраняя при этом контроль и безопасность пользователя.

Функции

  • Перечислите все проекты в вашем рабочем пространстве Plane

  • Получите подробную информацию о конкретных проектах

  • Создавайте новые выпуски с настраиваемыми свойствами

  • Список и фильтрация проблем из проектов

  • Получите подробную информацию о конкретных проблемах

  • Обновите существующие выпуски, добавив новую информацию

Related MCP server: Plane MCP Server

Предпосылки

  • Node.js 22.x или выше

  • API-ключ Plane.so

  • Рабочее пространство Plane.so

Установка

Вариант 1: Использование кузнечного дела

Самый быстрый способ начать работу — использовать Smithery для непосредственной установки сервера:

# Install to Claude for Desktop
npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client claude

Эта команда автоматически настроит сервер Plane MCP для использования с Claude. После установки вам нужно будет настроить сервер с помощью ключа API Plane и слага рабочей области через настройки Claude.

Допустимые параметры клиента: claude, cline, windsurf, roo-cline, witsy, enconvo, cursor

Пример установки с помощью курсора:

npx -y @smithery/cli install @kelvin6365/plane-mcp-server --client cursor

Вариант 2: Ручная настройка

Если вы предпочитаете настроить сервер вручную, выполните следующие действия:

  1. Клонируйте этот репозиторий:

git clone https://github.com/kelvin6365/plane-mcp-server.git
cd plane-mcp-server

  1. Установите зависимости:

npm install

  1. Сборка сервера:

npm run build

Использование с Claude для рабочего стола

Примечание: Если вы использовали вариант 1 (Smithery) выше, вы можете пропустить этот раздел. Smithery автоматически настраивает сервер MCP для вас.

  1. Откройте файл конфигурации Claude for Desktop:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • Windows: %APPDATA%\Claude\claude_desktop_config.json

  2. Добавьте конфигурацию сервера Plane MCP:

{
  "mcpServers": {
    "plane": {
      "command": "node",
      "args": ["path/to/plane-mcp-server/build/index.js"],
      "env": {
        "PLANE_API_KEY": "your_plane_api_key_here",
        "PLANE_WORKSPACE_SLUG": "your_workspace_slug_here"
      }
    }
  }
}

  1. Перезапустить Клода для рабочего стола

Доступные инструменты

Примечание: Имена инструментов используют дефисы (например, list-projects ), а не подчеркивания. Сервер автоматически преобразует подчеркивания в дефисы для совместимости.

список-проекты

Перечисляет все проекты в вашем рабочем пространстве Plane.

Параметры: Нет

Пример:

{}

получить-проект

Получает подробную информацию о конкретном проекте.

Параметры:

  • project_id : идентификатор проекта для извлечения

Пример:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef"
}

создать-выпуск

Создает новую проблему в указанном проекте.

Параметры:

  • project_id : идентификатор проекта, в котором должна быть создана проблема

  • name : Название выпуска

  • description_html : HTML-описание проблемы (требуется для API Plane)

  • priority (необязательно): Приоритет вопроса («срочный», «высокий», «средний», «низкий», «нет»)

  • state_id (необязательно): идентификатор штата для этой проблемы

  • assignees (необязательно): массив идентификаторов пользователей, назначаемых для этой проблемы

Примечание: Параметр assignees должен быть массивом строк идентификатора пользователя. Распространенные ошибки включают предоставление словаря/объекта вместо массива или случайное вложение всех данных о проблеме в поле assignees. Сервер попытается обработать эти случаи, но лучше использовать правильный формат.

Пример:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "name": "Implement new feature",
  "description_html": "<p>We need to implement the new reporting feature</p>",
  "priority": "high",
  "assignees": ["user-id-1", "user-id-2"]
}

список-вопросов

Перечисляет проблемы из указанного проекта с возможностью фильтрации.

Параметры:

  • project_id : идентификатор проекта, из которого нужно получить проблемы

  • state_id (необязательно): Фильтр по идентификатору штата

  • priority (необязательно): Фильтр по приоритету

  • assignee_id (необязательно): Фильтр по идентификатору получателя

  • limit (необязательно): максимальное количество возвращаемых проблем (по умолчанию: 50)

Пример:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "priority": "high",
  "limit": 10
}

получить-выпуск

Получает подробную информацию о конкретной проблеме.

Параметры:

  • project_id : идентификатор проекта, содержащего проблему

  • issue_id : идентификатор проблемы, которую необходимо получить

Пример:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq"
}

обновление-выпуск

Обновляет существующую проблему в проекте.

Параметры:

  • project_id : идентификатор проекта, содержащего проблему

  • issue_id : идентификатор проблемы для обновления

  • name (необязательно): обновленное название выпуска

  • description_html (необязательно): HTML-описание проблемы (требуется для API Plane)

  • priority (необязательно): обновленный приоритет проблемы

  • state_id (необязательно): обновленный идентификатор состояния проблемы

  • assignees (необязательно): обновленный массив идентификаторов пользователей для назначения этой проблеме

Примечание: Параметр assignees должен быть массивом строк идентификаторов пользователей, соответствующим тем же правилам форматирования, что и для инструмента создания проблем.

Пример:

{
  "project_id": "01abc123-4567-89de-0123-456789abcdef",
  "issue_id": "01def456-7890-12gh-3456-789ijklmnopq",
  "priority": "urgent",
  "description_html": "<p>Updated description with <strong>more details</strong></p>"
}

Разработка

  1. Установка зависимостей разработки:

npm install --save-dev typescript @types/node

  1. Запустите сервер в режиме разработки:

npm run dev

Тестирование

Вы можете протестировать сервер с помощью MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Примеры

Вот несколько примеров взаимодействия, которые вы можете попробовать с Клодом после настройки сервера Plane MCP:

  1. «Можете ли вы составить список всех проектов в моем рабочем пространстве Plane?»

  2. «Пожалуйста, создайте новую высокоприоритетную задачу в маркетинговом проекте под названием «Обновление стратегии социальных сетей»»

  3. «Каковы наиболее приоритетные вопросы в проекте развития?»

  4. «Обновить задачу № 123 в проекте QA, изменив ее приоритет на срочный»

Клод будет использовать соответствующие инструменты для взаимодействия с Plane, запрашивая ваше одобрение перед созданием или изменением любых задач.

Соображения безопасности

  • Для работы API-ключа требуются соответствующие разрешения Plane.

  • Все операции, изменяющие данные, требуют явного одобрения пользователя.

  • Переменные среды должны быть надежно защищены.

  • Ключи API никогда не следует передавать в систему контроля версий.

Внося вклад

  1. Форк репозитория

  2. Создайте ветку функций ( git checkout -b feature/amazing-feature )

  3. Зафиксируйте свои изменения ( git commit -m 'Add some amazing feature' )

  4. Отправить в ветку ( git push origin feature/amazing-feature )

  5. Открыть запрос на извлечение

Лицензия

Данный проект лицензирован по лицензии MIT — подробности см. в файле LICENSE.

Поддерживать

Если у вас возникли проблемы или есть вопросы:

  1. Проверьте раздел GitHub Issues

  2. Ознакомьтесь с документацией MCP на сайте modelcontextprotocol.io.

  3. Откройте новый выпуск с подробными шагами воспроизведения

История Звезды

Звездная история диаграммы

Available Tools

6 tools
create-issueC

Create a new issue in a project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project where the issue should be created
nameYesTitle of the issue
description_htmlNoHTML description of the issue (required by Plane API)
priorityNoPriority of the issue (urgent, high, medium, low, none)
state_idNoID of the state for this issue (optional)
assigneesNoArray of user IDs to assign to this issue (optional)

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states 'Create' which implies a write operation, but doesn't mention permissions, side effects, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded with the core action, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with 6 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after creation, error conditions, or provide enough context for safe usage despite the comprehensive schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 6 parameters. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Create') and resource ('new issue in a project'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'update-issue' or specify what distinguishes creation from other operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'update-issue' or 'list-issues', nor does it mention prerequisites or context for creation. It's a basic statement without usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-issueC

Get detailed information about a specific issue

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project containing the issue
issue_idYesID of the issue to retrieve

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Get detailed information,' implying a read-only operation, but does not disclose behavioral traits such as authentication needs, rate limits, error conditions, or what 'detailed information' includes (e.g., fields, format). This is inadequate for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core purpose, making it easy to parse quickly, though it lacks depth due to its brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete. It does not explain what 'detailed information' entails, potential return values, or error handling. For a read operation with rich sibling tools, more context is needed to guide the agent effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with clear descriptions for 'project_id' and 'issue_id' in the input schema. The description adds no additional meaning beyond the schema, such as parameter interactions or examples. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('detailed information about a specific issue'), making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get-intake-issue' or 'get-issue-activity', which also retrieve issue-related information, leaving some ambiguity about scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'list-issues' for multiple issues or 'get-intake-issue' for specific types, there is no indication of context, prerequisites, or exclusions, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-projectB

Get detailed information about a specific project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project to retrieve

TDQS

B3.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations supplied, the description carries the full burden of behavioral disclosure. It only states 'Get detailed information,' omitting any details about authentication, rate limits, or what 'detailed' encompasses. For a read operation, it is minimally transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no extraneous words. It is front-loaded and efficient, earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple get operation with one parameter and no output schema, the description is adequate but lacks context about the return format or any prerequisites. It does not fully compensate for the absence of annotations or additional behavioral notes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the parameter 'project_id' is adequately described in the schema as 'ID of the project to retrieve.' The description adds no extra meaning beyond that, meeting the baseline for parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves detailed information about a specific project, using a specific verb+resource structure. It successfully distinguishes from sibling tools like create-project, delete-project, and get-issue.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as list-projects or get-issue. There are no exclusions, prerequisites, or context for appropriate use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list-issuesC

List issues from a project

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project to get issues from
state_idNoFilter by state ID (optional)
priorityNoFilter by priority (optional)
assignee_idNoFilter by assignee ID (optional)
limitNoMaximum number of issues to return (default: 50)

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'List issues' but doesn't disclose behavioral traits like pagination (implied by 'limit'), default sorting, rate limits, authentication needs, or error handling. This leaves significant gaps for an agent to understand how the tool behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for a basic listing tool, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete. It doesn't explain return values (e.g., issue format), pagination behavior, or error cases. For a tool with 5 parameters and no structured behavioral hints, this leaves the agent under-informed about critical usage aspects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no meaning beyond the schema, such as explaining how filters combine or the format of returned issues. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'List issues from a project' clearly states the verb ('List') and resource ('issues'), but it's vague about scope (e.g., all issues vs. filtered) and doesn't distinguish from siblings like 'get-issue' (single issue) or 'list-projects' (different resource). It's functional but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't mention using 'get-issue' for a single issue or 'list-projects' to find project IDs first. The description implies usage for listing issues but offers no context on prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list-projectsA

List all projects in the workspace

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should fully describe behavior. It is minimal, only stating a read operation. It lacks details on pagination, ordering, or whether results are comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at 5 words, with no filler. Every word is informative and necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter list tool, the description is mostly complete. It specifies workspace scope, but could mention if results are limited or paginated. Still adequate for the simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, so schema coverage is 100%. The description does not need to add parameter details, and it appropriately avoids extraneous information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (List), the resource (projects), and the scope (in the workspace). It effectively distinguishes from sibling tools like get-project (single project) and create-project.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like get-project. Usage is implied but not clarified with when-not or specific contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update-issueC

Update an existing issue in a project, delete just update the issue title with 'delete' or 'remove'

ParametersJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project containing the issue
issue_idYesID of the issue to update
nameNoUpdated title of the issue (optional)
description_htmlNoHTML description of the issue (required by Plane API)
priorityNoUpdated priority of the issue (optional)
state_idNoUpdated state ID of the issue (optional)
assigneesNoUpdated array of user IDs to assign to this issue (optional)

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but is inadequate. It mentions updating and a deletion method, but doesn't disclose critical behavioral traits like required permissions, whether updates are reversible, rate limits, or what happens to unspecified fields. The deletion note is vague and doesn't explain if it's a standard feature or workaround.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two clauses, but the second clause about deletion is poorly integrated and confusing, reducing clarity. It's front-loaded with the main purpose but the additional note doesn't earn its place effectively, making the structure somewhat disjointed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a mutation tool with 7 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, error handling, return values, and how it differs from siblings. The deletion note adds confusion rather than completeness, failing to provide adequate context for safe and effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 7 parameters. The description adds no meaningful parameter semantics beyond what's in the schema, such as explaining interactions between fields or special cases. It mentions 'delete' or 'remove' for the title but doesn't tie this to the 'name' parameter clearly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Update') and resource ('existing issue in a project'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'create-issue' or 'get-issue' beyond the update action, and the second part about deleting with 'delete' or 'remove' is confusing rather than clarifying.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'create-issue' or 'get-issue'. It mentions a deletion method but doesn't clarify if this is the primary deletion mechanism or when to use it over other tools, offering minimal usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 6 tool updates
    • First observedcreate-issue
    • First observedget-issue
    • First observedget-project
    • First observedlist-issues
    • First observedlist-projects
    • First observedupdate-issue
Deploy Server
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TDQS

B3.4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no ambiguity: create-issue, get-issue, update-issue, and list-issues handle issues, while get-project and list-projects handle projects. The descriptions reinforce this separation, making misselection unlikely.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with hyphen separation (e.g., create-issue, list-projects). This predictable naming scheme enhances readability and usability across the tool set.

Tool Count5/5

With 6 tools, the server is well-scoped for managing issues and projects in a workspace. Each tool earns its place by covering essential CRUD operations without being overly sparse or bloated.

Completeness4/5

The tool set provides strong coverage for issues (create, get, list, update) and projects (get, list), but lacks explicit create-project, update-project, and delete operations. Agents can work around this with the update-issue workaround for deletion, but minor gaps exist.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

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