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Advanced Hasura GraphQL MCP Server

Advanced Hasura GraphQL MCP Server

by husamabusafa

Advanced Hasura GraphQL MCP Server

Version: 1.1.0

This Model Context Protocol (MCP) server provides an advanced interface for AI agents (like those in Cursor or Claude Desktop) to interact with a Hasura GraphQL endpoint. It enables agents to discover the API structure, execute both read-only queries and mutations (with caution), preview data, perform aggregations, and check service health.

This server enhances LLM capabilities by allowing them to leverage your Hasura API dynamically based on natural language requests.

Features

This server exposes the following MCP capabilities:

Resources:

  • Hasura GraphQL Schema (hasura:/schema)

    • Provides the full GraphQL schema definition obtained via standard introspection.

    • MIME Type: application/json

    • Agents can read this resource to understand the complete structure of the API, including types, fields, arguments, directives, etc.

Tools:

  • run_graphql_query

    • Description: Executes a read-only GraphQL query against the Hasura endpoint. Use this for fetching data when a specific tool isn't available. Ensure the query does not modify data. Example: query { users { id name } }

    • Input: { query: string, variables?: object }

    • Note: Performs a basic check to prevent execution of strings starting with mutation. Primarily relies on the query itself being read-only.

  • run_graphql_mutation

    • Description: Executes a GraphQL mutation to insert, update, or delete data. Use with caution, ensure the operation is intended and safe. Relies on Hasura permissions configured for the provided Admin Secret or default role. Example: mutation { insert_users_one(object: {name: "Test"}) { id } }

    • Input: { mutation: string, variables?: object }

    • Security: Allows any mutation permitted by the Hasura role. Ensure appropriate Hasura permissions are configured.

  • list_tables

    • Description: Lists available data tables (or collections) managed by Hasura, organized by schema with descriptions, based on introspection heuristics (looks for object types with an 'id' field, excluding internal/aggregate types). Useful for discovering available data sources.

    • Input: { schemaName?: string } (Optional schema name, attempts to infer from field descriptions if possible, defaults to 'public' conceptually)

  • describe_table

    • Description: Shows the structure of a specific table including all its columns (fields) with their GraphQL types and descriptions.

    • Input: { tableName: string, schemaName?: string }

  • list_root_fields

    • Description: Lists the available top-level query, mutation, or subscription fields from the GraphQL schema. Useful for understanding the primary entry points for operations.

    • Input: { fieldType?: 'QUERY' | 'MUTATION' | 'SUBSCRIPTION' } (Optional filter)

  • describe_graphql_type

    • Description: Provides details about a specific GraphQL type (Object, Input, Scalar, Enum, Interface, Union) using schema introspection. Essential for understanding how to structure queries or mutations involving specific types.

    • Input: { typeName: string } (Case-sensitive type name)

  • preview_table_data

    • Description: Fetches a limited sample of rows (default 5) from a specified table to preview its data structure and content. Selects common scalar and enum fields automatically.

    • Input: { tableName: string, limit?: number }

  • aggregate_data

    • Description: Performs a simple aggregation (count, sum, avg, min, max) on a specified table, optionally applying a Hasura 'where' filter. Use 'list_tables' to find table names. Requires 'field' for non-count aggregations.

    • Input: { tableName: string, aggregateFunction: 'count'|'sum'|'avg'|'min'|'max', field?: string, filter?: object }

  • health_check

    • Description: Checks if the configured Hasura GraphQL endpoint is reachable and responding to a basic GraphQL query ({ __typename }). Can optionally check a specific HTTP health endpoint URL if known.

    • Input: { healthEndpointUrl?: string } (Optional specific health URL)

Related MCP server: GraphQL MCP Toolkit

Requirements

  • Node.js (v18 or higher recommended, check .nvmrc or package.json engines if specified)

  • pnpm (or npm/yarn, adjust commands accordingly)

  • Access to a running Hasura GraphQL endpoint.

  • (Optional but recommended) Hasura Admin Secret for privileged access, or properly configured default role permissions.

Setup and Installation

  1. Clone the Repository (if applicable):

    # git clone <repository_url>
    # cd mcp-hasura-advanced
  2. Install Dependencies:

    pnpm install
  3. Build the Server:

    pnpm run build

    This compiles the TypeScript code into the dist directory.

Running the Server

Execute the compiled script from your terminal, providing the Hasura endpoint URL and optionally the admin secret:

# Using pnpm start script (defined in package.json)
pnpm start <HASURA_GRAPHQL_ENDPOINT> [ADMIN_SECRET]

# Or using Node directly
node dist/index.js <HASURA_GRAPHQL_ENDPOINT> [ADMIN_SECRET]

Example:

pnpm start https://my-hasura.cloud/v1/graphql mysecretkey123

or

node dist/index.js https://my-hasura.cloud/v1/graphql mysecretkey123

If no admin secret is needed (using default role permissions):

pnpm start https://my-hasura.cloud/v1/graphql

The server will start, attempt an initial schema introspection, connect to the STDIO transport, and log status messages to stderr. It listens for MCP JSON-RPC requests on stdin and sends responses to stdout.

Usage with MCP Clients (e.g., Cursor, Claude Desktop)

To connect this server to an MCP client like Cursor:

  1. Find Absolute Paths:

    • Node executable: Run which node in your terminal.

    • Server script: Navigate to the mcp-hasura-advanced directory and run pwd. Append /dist/index.js to the result.

    • Project directory: The output of pwd.

  2. Configure the Client: Open your client's configuration file (e.g., settings.json for Cursor, claude_desktop_config.json for Claude Desktop).

  3. Add Server Entry: Add an entry under the appropriate key (e.g., cursor.customMcpServers array for Cursor, mcpServers object for Claude Desktop).

Example Cursor settings.json:

{
  // ... other settings ...
  "cursor.customMcpServers": [
    // ... other servers ...
    {
      "name": "My Advanced Hasura Server", // Name shown in Cursor UI
      "command": "/path/to/your/node", // <<< Absolute path from 'which node'
      "args": [
        "/absolute/path/to/mcp-hasura-advanced/dist/index.js", // <<< Absolute path to compiled script
        "https://YOUR_HASURA_ENDPOINT.com/v1/graphql",      // <<< Your endpoint
        "YOUR_ADMIN_SECRET"                                   // <<< Your secret (REMOVE if no secret)
      ],
      // Optional but recommended for module resolution consistency:
      "cwd": "/absolute/path/to/mcp-hasura-advanced" // <<< Absolute path to project root
    }
  ]
}

Example Claude Desktop claude_desktop_config.json:

{
    "mcpServers": {
        // ... other servers ...
        "hasura-advanced": { // Key used internally by Claude
            "command": "/path/to/your/node", // <<< Absolute path from 'which node'
            "args": [
                "/absolute/path/to/mcp-hasura-advanced/dist/index.js", // <<< Absolute path to compiled script
                "https://YOUR_HASURA_ENDPOINT.com/v1/graphql",      // <<< Your endpoint
                "YOUR_ADMIN_SECRET"                                   // <<< Your secret (REMOVE if no secret)
            ],
            // Optional:
            // "cwd": "/absolute/path/to/mcp-hasura-advanced"
        }
    }
}
  1. Replace Placeholders: Update all placeholders (/path/to/..., https://YOUR..., YOUR_ADMIN_SECRET) with your actual values.

  2. Restart/Reload Client: Save the configuration and restart or reload your MCP client application.

  3. Select Server: Choose "My Advanced Hasura Server" (or the name you specified) in the client's UI.

  4. Interact: Use natural language prompts in your client's chat to leverage the server's tools (e.g., "List tables using the Hasura server", "Describe the 'users' table", "Preview data from the 'orders' table", "Run the query { products { name price } } using the Hasura server").

Development

  • Run in Dev Mode: Use pnpm run dev <ENDPOINT> [SECRET] to run the server directly with ts-node for faster iteration (no build step needed).

  • Testing: Test individual tools by running the server manually (pnpm start ...) and piping JSON-RPC requests to its stdin.

Available Tools

9 tools
aggregate_dataC

Performs a simple aggregation (count, sum, avg, min, max)...

Inputs: aggregateFunction (required), tableName (required), field, filter.

describe_graphql_typeC

Provides details about a specific GraphQL type (Object, Input, Scalar, Enum, Interface, Union)...

Inputs: typeName (required).

describe_tableB

Shows the structure of a table including all columns with their types and descriptions

Inputs: tableName (required), schemaName.

health_checkC

Checks if the configured Hasura GraphQL endpoint is reachable...

Inputs: healthEndpointUrl.

list_root_fieldsC

Lists the available top-level query, mutation, or subscription fields...

Inputs: fieldType.

list_tablesA

Lists available data tables (or collections) managed by Hasura, organized by schema with descriptions

Inputs: schemaName.

preview_table_dataB

Fetch esa limited sample of rows (default 5) from a specified table...

Inputs: tableName (required), limit.

run_graphql_mutationC

Executes a GraphQL mutation to insert, update, or delete data...

Inputs: mutation (required), variables.

run_graphql_queryA

Executes a read-only GraphQL query against the Hasura endpoint...

Inputs: query (required), variables.

Tool Schema Changelog

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

Loading tool schema changelog…

    TDQS

    A3.6/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity. Tools like 'list_tables', 'describe_table', and 'preview_table_data' form a logical progression for table exploration, while 'run_graphql_query' and 'run_graphql_mutation' handle different operation types. The 'aggregate_data' tool provides specific functionality separate from general queries.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern throughout. Examples include 'list_tables', 'describe_table', 'run_graphql_query', and 'preview_table_data'. This consistency makes the tool set predictable and easy for agents to understand and navigate.

    Tool Count5/5

    With 9 tools, this server is well-scoped for its purpose of interacting with Hasura GraphQL. Each tool earns its place by covering distinct aspects like schema exploration, data operations, and system health. The count is neither too sparse nor overwhelming for the domain.

    Completeness5/5

    The tool surface provides complete coverage for Hasura GraphQL interaction. It includes schema discovery ('list_root_fields', 'describe_graphql_type'), data exploration ('list_tables', 'describe_table', 'preview_table_data'), CRUD operations ('run_graphql_query', 'run_graphql_mutation', 'aggregate_data'), and system monitoring ('health_check'). No obvious gaps exist for core workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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