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Gmail MCP Server

Gmail MCP Server — это MCP stdio-сервер на базе Node.js/TypeScript, предназначенный для того, чтобы OpenClaw мог читать письма Gmail через протокол Model Context Protocol.

Функции

  • Использование авторизации Gmail API OAuth 2.0 с областью доступа «только для чтения»: https://www.googleapis.com/auth/gmail.readonly

  • list_emails: перечисление писем во входящих, поддержка maxResults и фильтрации по запросу Gmail query

  • get_email: чтение подробностей одного письма по messageId

  • search_emails: поиск писем с использованием синтаксиса поиска Gmail

  • list_labels: перечисление всех меток/папок Gmail

  • Поддержка транспорта MCP stdio для вызова из OpenClaw

Related MCP server: gmail-mcp

Системные требования

  • Node.js 18 или выше

  • npm

  • Учетная запись Google с доступом к Gmail API

Установка

npm install
npm run build

Создание учетных данных OAuth в Google Cloud Console

  1. Откройте Google Cloud Console.

  2. Создайте или выберите проект.

  3. Перейдите в APIs & Services -> Library, найдите и включите Gmail API.

  4. Перейдите в APIs & Services -> OAuth consent screen.

  5. Выберите тип пользователя. Для личного использования обычно выбирают External.

  6. Укажите название приложения, электронную почту для поддержки пользователей и контактный адрес электронной почты разработчика.

  7. На этапе Scopes добавьте разрешение Gmail «только для чтения»: https://www.googleapis.com/auth/gmail.readonly.

  8. Если приложение находится в статусе Testing, добавьте свою учетную запись Gmail в список Test users.

  9. Перейдите в APIs & Services -> Credentials.

  10. Нажмите Create Credentials -> OAuth client ID.

  11. В качестве Application type выберите Desktop app.

  12. После создания скачайте JSON-файл.

Размещение credentials.json

Создайте каталог конфигурации и сохраните скачанный OAuth JSON как:

mkdir -p ~/.gmail-mcp
chmod 700 ~/.gmail-mcp
cp /path/to/downloaded/client_secret.json ~/.gmail-mcp/credentials.json
chmod 600 ~/.gmail-mcp/credentials.json

Итоговый путь должен выглядеть так:

~/.gmail-mcp/credentials.json

Запуск процесса авторизации

npm run auth

Скрипт выполнит следующие действия:

  • Запустит временный локальный сервис обратного вызова OAuth

  • Откроет браузер для авторизации в Google

  • После завершения авторизации сохранит токен в ~/.gmail-mcp/token.json

Если браузер не открылся автоматически, терминал выведет URL для авторизации, который нужно скопировать в браузер вручную.

Запуск MCP Server

npm run start

Команда start использует транспорт stdio и обычно запускается OpenClaw как дочерний процесс MCP-сервера, поэтому ручной запуск на длительное время не требуется.

Пример конфигурации OpenClaw MCP

Укажите команду, ссылающуюся на точку входа после сборки проекта:

{
  "mcpServers": {
    "gmail": {
      "command": "node",
      "args": ["/Volumes/DevDisk/symbol/gmailMCP/dist/src/index.js"]
    }
  }
}

Также можно запустить через npm в каталоге проекта:

{
  "mcpServers": {
    "gmail": {
      "command": "npm",
      "args": ["run", "start"],
      "cwd": "/Volumes/DevDisk/symbol/gmailMCP"
    }
  }
}

Описание параметров инструментов

list_emails

Перечисление писем во входящих.

{
  "maxResults": 10,
  "query": "from:example@gmail.com newer_than:7d"
}

  • maxResults: необязательно, по умолчанию 10, максимум 50

  • query: необязательно, синтаксис поиска Gmail, поиск будет ограничен папкой INBOX

get_email

Чтение подробностей одного письма.

{
  "messageId": "18f..."
}

Возвращаемые поля включают отправителя, получателя, тему, дату, метки, текстовое тело, HTML-тело и метаданные вложений.

search_emails

Поиск писем в Gmail.

{
  "query": "subject:invoice has:attachment newer_than:30d",
  "maxResults": 10
}

  • query: обязательно, поддерживает синтаксис поиска Gmail

  • maxResults: необязательно, по умолчанию 10, максимум 50

list_labels

Перечисление всех меток/папок.

{}

Расположение файлов

  • Учетные данные OAuth: ~/.gmail-mcp/credentials.json

  • Токен OAuth: ~/.gmail-mcp/token.json

  • Точка входа MCP-сервера: dist/src/index.js

Часто задаваемые вопросы

Отсутствуют учетные данные Gmail OAuth

Убедитесь, что вы скачали JSON-файл клиента Google OAuth и сохранили его по пути:

~/.gmail-mcp/credentials.json

Отсутствует токен Gmail OAuth

Сначала запустите:

npm run auth

access_denied или приложение не подтверждено

Если экран согласия OAuth все еще находится в статусе Testing, необходимо добавить текущую учетную запись Gmail в список Test users.

invalid_grant

Удалите старый токен и пройдите авторизацию заново:

rm ~/.gmail-mcp/token.json
npm run auth

Available Tools

4 tools
get_emailA

Read one Gmail message by messageId.

NameRequiredDescriptionDefault
messageIdYesGmail message id.

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It states 'Read,' which implies a read-only operation with no side effects, but does not detail error handling, permissions required, or what the response contains. This is minimally adequate for a simple read tool.

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, well-structured sentence with no unnecessary words. It is front-loaded with the verb and resource, making it efficient for an agent to parse.

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?

Given the tool's simplicity (one parameter, no output schema), the description is largely complete. It could be improved by briefly noting what the tool returns (e.g., message content or metadata), but it still provides enough context for basic usage.

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?

The input schema has 100% description coverage for the single parameter (messageId: 'Gmail message id.'). The description adds no further meaning beyond what the schema already provides, so it meets the baseline of 3.

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 uses the specific verb 'Read' and clearly identifies the resource as 'one Gmail message by messageId.' It distinguishes from siblings like list_emails (list multiple) and search_emails (search), making the tool's purpose unambiguous.

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?

The description implies that the tool is used when you have a specific messageId, but it does not explicitly state when to use it versus alternatives (e.g., list_emails for browsing, search_emails for filtering). No exclusions or prerequisites are mentioned.

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

list_emailsB

List Gmail inbox messages. Supports maxResults and Gmail query filters.

NameRequiredDescriptionDefault
maxResultsNoMaximum number of emails to return. Default 10, max 50.
queryNoOptional Gmail search query, applied within INBOX.

TDQS

B3.1/5.0
Behavior2/5

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

No annotations provided, so description must disclose behavior. Mentions it lists inbox messages and supports parameters, but no details on pagination, response format, or conditions like invalid queries. For a read operation, minimal disclosure.

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?

Two sentences, no filler. Efficiently conveys the core purpose and supported features.

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 tool with 2 params and no output schema, the description covers basics but lacks usage guidelines and behavioral details, leaving gaps for an AI agent to make informed decisions.

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 coverage is 100% with clear parameter descriptions (maxResults: default, min, max; query: optional within INBOX). Description merely restates that parameters are supported, adding no new semantic meaning beyond the schema.

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?

Clearly states 'List Gmail inbox messages' with verb and resource, distinguishing from get_email (single email) and list_labels (labels). However, does not explicitly differentiate from search_emails, which may also list emails but with different 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?

No guidance on when to use this tool vs alternatives like search_emails. Only states what it does, leaving the agent to infer usage context.

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

list_labelsA

List all Gmail labels and folders.

NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are provided, so the description is the sole source. It states the action but lacks details like pagination, data scope, or authentication requirements. For a simple list, this is adequate but minimal.

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?

A single, front-loaded sentence contains all necessary information without waste.

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

Completeness5/5

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

Given the tool's simplicity (0 parameters, no output schema) and clear sibling differentiation, the description is complete enough for an agent to use correctly.

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 input schema has no parameters and 100% coverage. With 0 parameters, the baseline is 4, and the description does not add parameter information beyond the schema.

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 'List all Gmail labels and folders' uses a specific verb and resource, clearly distinguishing from sibling tools that deal with emails (get_email, list_emails, search_emails).

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

Usage Guidelines4/5

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

While no explicit when-to-use or alternatives are stated, the sibling context makes it clear this is for labels/folders vs. emails, implying appropriate usage.

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

search_emailsA

Search Gmail messages with Gmail search syntax.

NameRequiredDescriptionDefault
queryYesGmail search query string.
maxResultsNoMaximum number of emails to return. Default 10, max 50.

TDQS

A3.6/5.0
Behavior2/5

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

No annotations provided, so description bears full burden. It only mentions search syntax, but does not disclose output format, error behavior, or whether results include full messages or metadata.

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?

Single sentence with no redundancy. Every word adds meaning.

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?

Lacks details on return format (e.g., fields, pagination) and how it differs from list_emails. No output schema, so description should provide more context.

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?

Schema coverage is 100%, so baseline is 3. Description adds value by specifying query uses 'Gmail search syntax', which is essential for correct invocation.

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?

Description clearly states verb (Search) and resource (Gmail messages) using specific syntax. Distinguishes from sibling tools like get_email (single) and list_labels.

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 search vs alternatives like list_emails or get_email. The description is minimally adequate but lacks contextual differentiation.

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. 4 tool updatesv0.0.1
    • First observedget_email
    • First observedlist_emails
    • First observedlist_labels
    • First observedsearch_emails
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.6/5.0

Scored across 4 tools

Disambiguation5/5

Each tool targets a distinct operation: reading a single email by ID, listing inbox messages, searching with Gmail syntax, and listing labels. There is no overlap in functionality.

Naming Consistency5/5

All tool names follow the consistent verb_noun pattern in snake_case: get_email, list_emails, list_labels, search_emails.

Tool Count4/5

With 4 tools, the set is concise and scoped to basic read and list operations. While it covers common use cases, it could be expanded with write operations, but the count is reasonable for a focused subset.

Completeness2/5

The tool surface lacks write operations such as sending, deleting, or modifying emails and labels. Users cannot perform actions beyond reading and listing, which is a significant gap for comprehensive Gmail management.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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