Универсальный MCP-сервер (Model Context Protocol), который связывает любой GraphQL API с Claude Code. Он анализирует вашу схему GraphQL и предоставляет каждый запрос (query) и мутацию (mutation) в виде отдельного инструмента, позволяя Claude взаимодействовать с вашим API напрямую.
При запуске сервер:
Ищет файл schema-introspection.json в рабочей директории (быстро, без сетевого вызова)
Если файл не найден, выполняет интроспекцию в реальном времени по адресу GRAPHQL_INTROSPECTION_URL
Регистрирует по одному инструменту на каждый запрос (query__<name>) и на каждую мутацию (mutation__<name>)
Всегда регистрирует универсальный инструмент execute_graphql для резервного выполнения и инструмент get_type_details для исследования схемы
Related MCP server: GraphQL MCP Server
Node.js >= 18
npm install -g mcp-graphql-bridgegit clone https://github.com/murilopereira/mcp-graphql-bridge.git
cd mcp-graphql-bridge
npm install
npm run buildПеременная | Обязательно | Описание |
| Да | Эндпоинт для запросов и мутаций |
| Да | Эндпоинт для интроспекции схемы (может совпадать с предыдущим) |
| Да | Bearer-токен для аутентификации |
Вы можете задать их в файле .env в корне проекта:
GRAPHQL_API_URL=https://your-api.example.com/graphql
GRAPHQL_INTROSPECTION_URL=https://your-api.example.com/graphql
GRAPHQL_TOKEN=your-bearer-tokenИли передать их напрямую через команду claude mcp add (см. ниже).
По умолчанию сервер выполняет интроспекцию схемы при запуске — файл не требуется. Используйте этот шаг только в том случае, если в вашем API отключена интроспекция в продакшене или если вы хотите ускорить время запуска:
curl -s -X POST https://your-api.example.com/graphql \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-bearer-token" \
-d '{"query":"{ __schema { queryType { fields { name description args { name description defaultValue type { kind name ofType { kind name ofType { kind name ofType { kind name } } } } } type { kind name ofType { kind name ofType { kind name } } } } } mutationType { fields { name description args { name description defaultValue type { kind name ofType { kind name ofType { kind name ofType { kind name } } } } } type { kind name ofType { kind name ofType { kind name } } } } } } }"}' \
> schema-introspection.jsonЕсли установлено из npm:
claude mcp add --transport stdio \
--env GRAPHQL_API_URL=https://your-api.example.com/graphql \
--env GRAPHQL_INTROSPECTION_URL=https://your-api.example.com/graphql \
--env GRAPHQL_TOKEN=your-bearer-token \
graphql-bridge -- mcp-graphql-bridgeЕсли клонировано из исходного кода:
claude mcp add --transport stdio \
--env GRAPHQL_API_URL=https://your-api.example.com/graphql \
--env GRAPHQL_INTROSPECTION_URL=https://your-api.example.com/graphql \
--env GRAPHQL_TOKEN=your-bearer-token \
graphql-bridge -- node /absolute/path/to/mcp-graphql-bridge/dist/index.jsВажно: Убедитесь, что используете
mcp-graphql-bridge/dist/index.js(скомпилированный результат), а неmcp-graphql-bridge/index.js. Исходный код на TypeScript должен быть сначала собран с помощьюnpm run build, а точка входа находится в папкеdist/.
.mcp.json)claude mcp add --transport stdio --scope project \
--env GRAPHQL_API_URL=https://your-api.example.com/graphql \
--env GRAPHQL_INTROSPECTION_URL=https://your-api.example.com/graphql \
--env GRAPHQL_TOKEN=your-bearer-token \
graphql-bridge -- mcp-graphql-bridgeПримечание: Используйте абсолютные пути. Все флаги
--envи--transportдолжны идти перед именем сервера.
claude mcp listЗатем в сессии Claude Code выполните /mcp, чтобы увидеть доступные серверы и инструменты.
Инструмент | Описание |
| Один инструмент на каждое поле запроса GraphQL |
| Один инструмент на каждое поле мутации GraphQL |
| Универсальный инструмент — выполнение любого запроса или мутации |
| Исследование полей конкретного типа GraphQL |
Все инструменты для операций принимают специальный аргумент __fields, в котором можно указать пользовательский набор полей GraphQL (например, { id name status }). Если аргумент опущен, возвращаются только скалярные поля.
docker build -t mcp-graphql-bridge .claude mcp add --transport stdio \
--env GRAPHQL_API_URL=https://your-api.example.com/graphql \
--env GRAPHQL_INTROSPECTION_URL=https://your-api.example.com/graphql \
--env GRAPHQL_TOKEN=your-bearer-token \
graphql-bridge -- docker run -i --rm \
-e GRAPHQL_API_URL -e GRAPHQL_INTROSPECTION_URL -e GRAPHQL_TOKEN \
mcp-graphql-bridgeПримечание: Флаг
-i(без-t) обязателен — он оставляет stdin открытым для протокола MCP stdio.
npm run dev # watch mode: rebuilds and restarts on file changes
npm run build # one-off TypeScript compile
npm start # run the compiled serverЕсли вы видите ошибку вида:
Error: Cannot find module '/path/to/mcp-graphql-bridge/index.js'Вы указываете не на тот файл. Исходный код на TypeScript должен быть сначала скомпилирован, а точка входа находится в папке dist/:
Правильный путь: /path/to/mcp-graphql-bridge/dist/index.js
Неправильный путь: /path/to/mcp-graphql-bridge/index.js
Решение:
Убедитесь, что вы выполнили npm run build (создается папка dist/)
Обновите конфигурацию MCP, чтобы использовать полный путь, заканчивающийся на /dist/index.js
Если сервер запускается, но показывает "Schema introspection failed", возможно, в вашем GraphQL API отключена интроспекция в продакшене. Используйте команду curl из шага 3 раздела "Настройка", чтобы предварительно сгенерировать файл schema-introspection.json.
Выполните claude mcp list, чтобы убедиться, что сервер зарегистрирован
Выполните /mcp в сессии Claude Code, чтобы увидеть доступные инструменты
Проверьте, что заданы все необходимые переменные окружения (GRAPHQL_API_URL, GRAPHQL_INTROSPECTION_URL, GRAPHQL_TOKEN)
Execute any GraphQL query or mutation against the API. Use this when no specific tool exists for your operation.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Full GraphQL query or mutation string including selection set | |
| variables | No | Variables for the operation | |
| bearer_token | No | Bearer token to authenticate this request (overrides GRAPHQL_TOKEN) | |
| custom_headers | No | Additional request headers as key-value pairs, e.g. {"X-Tenant-ID": "abc"} |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must disclose behavioral traits. It does not mention potential side effects of mutations, authentication requirements (beyond parameter hints), rate limits, or error handling. The description is too minimal to convey safe usage.
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 pack purpose and usage guidelines with zero waste, frontloading the key action and fallback use.
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; description does not explain return format, errors, or the fact that the endpoint is pre-configured. Despite the complexity of a generic GraphQL executor, the description is incomplete.
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% (all 4 parameters have descriptions). The description adds no additional parameter semantics. Baseline 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?
The description clearly states 'Execute any GraphQL query or mutation against the API', specifying the verb and resource. It distinguishes itself from sibling 'get_type_details' by being a generic executor.
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 says 'Use this when no specific tool exists for your operation', providing clear when-to-use guidance. No exclusions, but the instruction is direct.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get fields of a specific GraphQL type to know what to put in __fields
| Name | Required | Description | Default |
|---|---|---|---|
| typeName | Yes | GraphQL type name, e.g. 'Repository', 'User', 'Issue' |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose all behavioral traits. It indicates a read operation, but does not mention error handling (e.g., invalid type name), response structure, or any 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?
The description is a single, focused sentence with no extraneous text. It is front-loaded and efficient.
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?
Despite the tool's simplicity, the description omits output details. The agent does not know whether the response returns field names, types, or full schema; this is critical given no output 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?
The schema already covers the single parameter with a clear description and examples. The tool description adds no extra meaning beyond prompting usage of '__fields'.
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 gets fields of a specific GraphQL type and its purpose in GraphQL introspection. However, it does not differentiate from sibling tool execute_graphql, which may also retrieve type information.
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 phrase 'to know what to put in __fields' implies a use case, but there is no explicit guidance on when to use this tool versus execute_graphql, nor any when-not-to-use advice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v2.1.0execute_graphql2 fields changedInput schema / properties / bearer_tokenAdded value: +{
+ "description": "Bearer token to authenticate this request (overrides GRAPHQL_TOKEN)",
+ "type": "string"
+}Input schema / properties / custom_headersAdded value: +{
+ "additionalProperties": {
+ "type": "string"
+ },
+ "description": "Additional request headers as key-value pairs, e.g. {\"X-Tenant-ID\": \"abc\"}",
+ "type": "object"
+}get_type_details1 field changedInput schema / properties / typeName / descriptionPrevious value: -"GraphQL type name, e.g. 'Machine', 'WorkOrder', 'Shift'"New value: +"GraphQL type name, e.g. 'Repository', 'User', 'Issue'"v1.0.1execute_graphqlget_type_detailsScored across 2 tools
The two tools serve clearly distinct purposes: executing GraphQL operations vs. retrieving type metadata. No overlap in functionality.
Both tool names follow a consistent verb_noun pattern using snake_case (execute_graphql, get_type_details), making the intent clear and predictable.
For a GraphQL bridge, two tools is minimal but still covers the essential operations of executing queries and exploring types. Slightly under-scoped but reasonable.
The tool surface covers core GraphQL operations (any query/mutation) and type introspection. Minor gaps exist (e.g., no dedicated tool for listing mutations), but the generic execute tool and type details suffice for agents familiar with GraphQL.
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