drupal-mcp
drupal-mcp
MCP-сервер для сайтов на Drupal через встроенный JSON:API. Позволяет просматривать, искать, создавать, обновлять и удалять узлы, термины таксономии и пользователей на любом сайте Drupal 10/11 с включенным модулем jsonapi.
Работает двумя способами:
Плагин Claude Code — установите через маркетплейс
lucaspretti-plugins, и Claude запросит у вас переменные окружения.Автономный MCP —
node drupal-mcp.jsс установленными переменными окружения. Подключите к Claude Desktop, Cline или любому другому MCP-совместимому клиенту.
Почему JSON:API, а не старый модуль Drupal MCP?
Контриб-модуль drupal/mcp в настоящее время имеет около 250 установок и находится в процессе изменений («слияние с модулем MCP Server»). JSON:API входит в ядро Drupal, он стабилен и является стандартом. Этот сервер — тонкая обертка над эндпоинтами, которые ваш сайт уже предоставляет; не нужно поддерживать новый модуль на стороне Drupal.
Related MCP server: WordPress MCP Python
Настройка на стороне Drupal (единоразово)
Убедитесь, что модуль JSON:API включен (
drush en jsonapi -y). Это модуль ядра, поставляется вместе с Drupal.Создайте выделенного пользователя-бота с минимальными правами, которые вы хотите предоставить. Рекомендуется:
Создать роль
mcp_bot.Предоставить права только на нужные типы содержимого (bundles) и операции (Статья: Просмотр / Редактирование / Удаление / Создание и т. д.). Никаких прав администратора.
Создать пользователя
mcp_botс этой ролью и надежным паролем (сохраните его в своем менеджере паролей).
При необходимости ограничьте права на запись в JSON:API. По умолчанию он читает всё; запись отключена, если вы не измените
jsonapi.settings:read_only = false(устанавливается через Drush:drush config:set jsonapi.settings read_only false -y). Оставьтеread_only = true, если вам нужны только операции просмотра/чтения.
Установка (плагин Claude Code)
/plugin marketplace add lucaspretti/claude-plugins
/plugin install drupal-mcp@lucaspretti-pluginsУстановите эти переменные окружения (через оболочку, .env или ваш менеджер секретов):
DRUPAL_BASE_URL=https://your-site.example.com
DRUPAL_USER=mcp_bot
DRUPAL_PASSWORD=••••••••Установка (автономная)
git clone https://github.com/lucaspretti/drupal-mcp.git
cd drupal-mcp
npm install
cp .env.example .env # fill in
node drupal-mcp.jsВ конфигурации вашего MCP-клиента (Claude Desktop claude_desktop_config.json, Cline и т. д.):
{
"mcpServers": {
"drupal": {
"command": "node",
"args": ["/absolute/path/to/drupal-mcp/drupal-mcp.js"],
"env": {
"DRUPAL_BASE_URL": "https://your-site.example.com",
"DRUPAL_USER": "mcp_bot",
"DRUPAL_PASSWORD": "••••••••"
}
}
}
}Инструменты
Инструмент | Что он делает |
| Список узлов типа (bundle), с фильтрацией / сортировкой / пагинацией |
| Получение одного узла по UUID |
| Создание узла (POST) |
| Обновление атрибутов / связей (PATCH) |
| Удаление по UUID (необратимо) |
| Список терминов в словаре |
| Список пользователей |
| Произвольный GET-запрос к |
Сокращенная запись фильтра: { field_category: '<uuid>' } → filter[field_category]=<uuid>. Используйте { field: { value, operator } } для операторов, отличных от равенства.
Флаги CLI
Каждая переменная окружения имеет эквивалентный флаг, полезный при запуске вне оболочки, поддерживающей .env:
node drupal-mcp.js \
--base-url=https://your-site.example.com \
--user=mcp_bot \
--password=•••• \
--jsonapi-prefix=/jsonapi \
--timeout=30000node drupal-mcp.js --help для получения полного списка.
Заметки по безопасности
Только HTTPS. Сервер отправляет Basic auth при каждом запросе — не используйте с
http://.Роль пользователя-бота на стороне Drupal является границей безопасности. Ограничивайте её права.
JSON:API учитывает права доступа к полям, но не обходит права доступа к сущностям — будьте осторожны с правами обхода администратора (admin-bypass) для роли бота.
.envдобавлен в gitignore. Не коммитьте учетные данные.
Лицензия
MIT
Available Tools
8 toolsdrupal_create_nodeA
Create a new node. Pass attributes (and optional relationships) using JSON:API field names.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle | Yes | ||
| attributes | Yes | e.g. { "title": "...", "body": { "value": "...", "format": "basic_html" }, "status": true } | |
| relationships | No | JSON:API relationships object (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description solely states the action and parameter format without disclosing side effects, authentication needs, or return values. Lacks detail on what happens after creation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: two sentences convey purpose and parameter guidance without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description does not mention return values or error handling. While it provides some guidance on parameter usage (nested objects), it lacks completeness for a creation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds value by instructing to use 'JSON:API field names' for attributes and relationships, which is not in the schema. The schema's attribute example also clarifies format. However, the 'bundle' parameter lacks explanation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Create a new node,' identifying the verb (create) and resource (node). It distinguishes from sibling tools like drupal_delete_node and drupal_update_node by implying creation of new content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 (e.g., drupal_update_node for existing nodes). The description focuses only on how to pass parameters, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_delete_nodeA
Delete a node by bundle + UUID. Irreversible.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle | Yes | ||
| uuid | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Highlights irreversibility, which is critical behavioral info, but doesn't disclose permissions, side effects (e.g., cascading deletes), or confirmation behavior. With no annotations, the description partially fulfills transparency needs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two succinct sentences with front-loaded purpose and a key behavioral note. No redundant or extraneous content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple delete operation, the description covers essential info: what it does and that it's irreversible. Could mention existence precondition or return value, but given no output schema, it's reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description must compensate. It explains that bundle and UUID identify the node, adding meaning beyond raw schema names. However, it doesn't clarify bundle's meaning (content type) or UUID format, leaving some ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb (delete), resource (node), and required identifiers (bundle + UUID). It distinguishes from sibling tools like drupal_create_node or drupal_update_node.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., drupal_update_node, drupal_get_node). The agent receives no context about prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_get_nodeA
Fetch a single node by bundle + UUID.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle | Yes | ||
| uuid | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description only says 'Fetch' implying read-only, but lacks details on not-found behavior, permissions, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no wasted words; front-loaded with verb and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple fetch operation and no output schema, description is nearly complete; could mention not-found handling but otherwise adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%; description mentions 'bundle + UUID' but does not explain their format or accepted values beyond the schema names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'Fetch' and resource 'single node by bundle + UUID', clearly distinguishing from sibling tools like drupal_create_node or drupal_list_nodes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use vs alternatives; usage is implied by the specificity of fetching a single node by bundle+UUID.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_list_nodesA
List nodes of a given bundle (content type). Returns a paginated set of nodes with their attributes flattened. Default sort is by created date desc.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle | Yes | Content type machine name (e.g. "article", "page") | |
| filter | No | Optional filter object. Shortcut form: { field_name: { value: 'x', operator: '=' } } or { field_name: 'x' }. Pre-encoded form: { 'filter[status][value]': 1 } also accepted. | |
| sort | No | Sort spec (e.g. "-created", "title"). Default "-created". | |
| limit | No | Page size (default 25) | |
| offset | No | Pagination offset | |
| include | No | Relationships to include (e.g. "field_category" or ["field_image","uid"]) | |
| fields | No | Sparse fieldsets keyed by JSON:API type, e.g. { "node--article": ["title","field_summary"] } |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, description carries full burden. It mentions pagination, default sort, and flattened attributes but does not disclose rate limits, auth needs, or handling of large results. Basic transparency, not thorough.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no filler, front-loaded with core purpose. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers core purpose, pagination, default sort, and flattened attributes. However, no guidance on using filter/sort/fields effectively compared to the query tool. Given schema richness, description is mostly complete but lacks some strategic context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so baseline is 3. Description adds no significant parameter details beyond the schema (e.g., default sort is already in sort param description). Minimal added value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists nodes by bundle (content type), mentions paginated sets and flattened attributes, and is distinct from siblings like drupal_get_node (single node) or drupal_query_jsonapi (flexible query).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use over alternatives like drupal_query_jsonapi or drupal_list_taxonomy_terms. The context is clear (list nodes by bundle), but exclusions and comparison are missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_list_taxonomy_termsB
List terms in a vocabulary (e.g. "category", "tags"). Default sort is "weight".
| Name | Required | Description | Default |
|---|---|---|---|
| vocabulary | Yes | Vocabulary machine name | |
| filter | No | Optional filter object. Shortcut form: { field_name: { value: 'x', operator: '=' } } or { field_name: 'x' }. Pre-encoded form: { 'filter[status][value]': 1 } also accepted. | |
| sort | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It reveals the default sort order ('weight') but omits other important behaviors such as pagination behavior, response format, permission requirements, or limits. The description is insufficient for an agent to fully understand the tool's side effects or constraints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences that are front-loaded. Every word adds value without repetition or fluff. It efficiently conveys the core purpose and a key behavioral detail (default sort).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema and the presence of a nested filter parameter, the description does not adequately prepare an agent. It fails to explain the return structure, any pagination, the format of the filter object, or the maximum limit. The context from sibling tools is not leveraged.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds value by stating the default sort value, which clarifies the 'sort' parameter meaning beyond the schema (which lacks a description for sort). However, the 'limit' parameter has no description, and the 'filter' parameter's complex structure is not elaborated. The schema coverage is 50%, and the description partially compensates.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action: 'List terms in a vocabulary' with a specific verb and resource. It provides examples of valid vocabularies ('category', 'tags'), and is distinct from sibling tools which deal with nodes and users.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage via examples of common vocabularies but does not explicitly state when to use this tool over alternatives or when not to use it. No exclusion criteria or alternative tool references are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_list_usersC
List Drupal users. Requires the configured account to have permission to view users.
| Name | Required | Description | Default |
|---|---|---|---|
| filter | No | Optional filter object. Shortcut form: { field_name: { value: 'x', operator: '=' } } or { field_name: 'x' }. Pre-encoded form: { 'filter[status][value]': 1 } also accepted. | |
| sort | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description only states permission requirement, omitting behavioral details like read-only nature, pagination, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences are concise and front-loaded, but brevity sacrifices completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and only 33% schema coverage, description lacks essential context on return format, pagination, sorting defaults, and filtering syntax beyond schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is low (33%), but description adds no parameter details beyond the schema; does not explain 'sort' or 'limit' parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Directly states 'List Drupal users' with a clear verb and resource, and distinguishes from sibling tools like drupal_list_nodes and drupal_list_taxonomy_terms.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Only mentions a permission requirement; no guidance on when to use this vs alternatives like list_nodes or query_jsonapi.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_query_jsonapiA
Escape hatch: arbitrary GET against the JSON:API. Use when the higher-level tools do not cover what you need (custom resources, /jsonapi/index, etc.).
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | JSON:API path relative to the prefix, e.g. "/node/article" or "/taxonomy_term/category" | |
| query | No | Raw query parameters (filter[...], sort, page[limit], etc.) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description implies read-only GET but doesn't confirm no side effects, permissions, or rate limits. Could disclose that it performs a GET and what authentication is needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load purpose and usage. No superfluous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool is simple (GET, two params). Description is nearly complete for an escape hatch; only minor omission is mention of return format, but response structure is standard JSON:API.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% already describing path and query. Description does not add extra meaning beyond the schema, so baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clear verb+resource: "arbitrary GET against the JSON:API". Distinguished from siblings by positioning as "escape hatch" when higher-level tools like drupal_get_node don't suffice.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states use case: when higher-level tools do not cover what you need, e.g., custom resources or /jsonapi/index. Provides clear when-to-use guidance with examples.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
drupal_update_nodeB
Patch an existing node by UUID. Pass only the attributes / relationships you want to change.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle | Yes | ||
| uuid | Yes | ||
| attributes | No | ||
| relationships | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It states 'patch' implying mutation but omits details on idempotency, error handling (e.g., missing UUID), required permissions, or whether it returns the updated node.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary action, and every word adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 params, nested objects, no output schema, no annotations), the description is too sparse. It lacks details on return values, error states, or prerequisites, leaving the agent underinformed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning by noting that attributes and relationships are for the fields to change, which partially compensates for 0% schema coverage. However, it does not describe the nested object structure or provide format hints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Patch an existing node by UUID' with a specific verb (patch) and resource (node). It distinguishes from sibling tools (create, delete, get, list) by specifying the partial update nature.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage by saying 'Pass only the attributes/relationships you want to change' but does not provide explicit guidance on when to use this tool vs alternatives (e.g., create vs update, or when a full update via put might be needed).
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. Dates show when Glama detected each change.
8 tool updates
v0.1.0- First observed
drupal_create_node - First observed
drupal_delete_node - First observed
drupal_get_node - First observed
drupal_list_nodes - First observed
drupal_list_taxonomy_terms - First observed
drupal_list_users - First observed
drupal_query_jsonapi - First observed
drupal_update_node
TDQS
Each tool targets a distinct Drupal resource or action: node CRUD, taxonomy listing, user listing, and a general query fallback. No overlap or ambiguity.
All tools follow the consistent 'drupal_verb_noun' pattern in snake_case, e.g., drupal_create_node, drupal_list_users, drupal_query_jsonapi.
8 tools is a well-scoped set for a Drupal MCP server, covering core node operations, taxonomy, users, and an escape hatch, without being overwhelming.
Node CRUD is complete, but taxonomy and user operations are limited to listing only, missing create/update/delete. The generic query tool mitigates gaps but does not fully compensate.
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