An MCP (Model Context Protocol) server that enables interaction with GraphQL APIs.
MCP GraphQL is a tool that implements the Model Context Protocol (MCP) to provide a standardized interface for interacting with GraphQL APIs. It automatically exposes each GraphQL query as a separate MCP tool, allowing MCP-compatible clients to seamlessly communicate with GraphQL services.
- Each GraphQL query is exposed as a distinct MCP tool
- Tool parameters automatically match the corresponding GraphQL query parameters
- JSON schema for tool inputs is dynamically generated from GraphQL query parameters
- No schema definition required - simply provide the API URL and credentials
- Currently supports GraphQL queries (mutations support planned for future releases)
- Configurable authentication (Bearer, Basic, custom headers)
- Automatic handling of complex GraphQL types
- Python 3.11 or higher
When using uv
no specific installation is needed. We will
use uvx
to directly run mcp-graphql.
Alternatively you can install mcp-graphql
via pip:
pip install mcp-graphql
git clone https://github.com/your-username/mcp_graphql.git
cd mcp_graphql
pip install .
Using uvx:
uvx mcp-graphql --api-url="https://api.example.com/graphql" --auth-token="your-token"
Using pip installation:
mcp-graphql --api-url="https://api.example.com/graphql" --auth-token="your-token"
or
python -m mcp_graphql --api-url="https://api.example.com/graphql" --auth-token="your-token"
--api-url
: GraphQL API URL (required)--auth-token
: Authentication token (optional, can also be set viaMCP_AUTH_TOKEN
environment variable)--auth-type
: Authentication type, default is "Bearer" (optional)--auth-headers
: Custom authentication headers in JSON format (optional)--queries-file
: Path to a .gql file containing predefined GraphQL queries (optional)--queries
: Predefined GraphQL queries passed directly as a string (optional)--max-depth
: Maximum depth when auto-generating queries (default: 5)
Example with custom headers:
mcp-graphql --api-url="https://api.example.com/graphql" --auth-headers='{"Authorization": "Bearer token", "X-API-Key": "key"}'
Example with predefined queries file:
mcp-graphql --api-url="https://api.example.com/graphql" --queries-file="./queries.gql"
Example passing queries directly as a string (use single quotes to avoid shell conflicts):
mcp-graphql --api-url="https://api.example.com/graphql" --queries='query Hello { hello }'
If neither --queries-file
nor --queries
is supplied, mcp-graphql will
automatically build a query by introspecting the GraphQL schema and selecting
all scalar fields up to a configurable depth. This is convenient for
quickly exploring an API, but it has two main drawbacks:
- Too much depth – drilling deep into nested objects (especially lists) can return a large amount of data and overflow the LLM context window.
- Lack of control – you cannot precisely choose which fields are included, so tokens may be wasted on irrelevant information.
The --max-depth
option mitigates the first issue by limiting the recursion
depth (default = 5). Even so, the best practice is to define the exact
queries you need through --queries-file
or --queries
. In doing so:
- You control exactly which fields are returned and avoid unnecessary lists.
- Every named operation in your file/string is automatically exposed as an MCP tool with no manual boilerplate.
Example using --max-depth
to limit the auto-generated query to depth 2:
mcp-graphql --api-url="https://api.example.com/graphql" --max-depth 2
For production workloads you should supply your own queries:
# Using a file
mcp-graphql --api-url="https://api.example.com/graphql" \
--queries-file="./queries.gql"
# Or as a string
mcp-graphql --api-url="https://api.example.com/graphql" \
--queries='query UserMini { viewer { id name } }'
The queries.gql
file should contain one or more named operations, e.g.:
# queries.gql
query GetUser($id: ID!) {
user(id: $id) {
id
name
email
}
}
query ListPosts {
posts {
id
title
}
}
import asyncio
from pathlib import Path
from mcp_graphql import serve
auth_headers = {"Authorization": "Bearer your-token"}
api_url = "https://api.example.com/graphql"
queries_file = Path("queries.gql") # optional, set to None to expose all queries
asyncio.run(serve(api_url, auth_headers, queries_file=queries_file))
Passing the queries directly as a string from code:
queries_str = """
query Hello($name: String!) {
hello(name: $name)
}
"""
asyncio.run(serve(api_url, auth_headers, queries=queries_str, max_depth=3))
Add to your Claude settings:
Using uvx
"mcpServers": {
"graphql": {
"command": "uvx",
"args": ["mcp-graphql", "--api-url", "https://api.example.com/graphql"]
}
}
Using docker
"mcpServers": {
"graphql": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/graphql", "--api-url", "https://api.example.com/graphql"]
}
}
Using pip installation
"mcpServers": {
"graphql": {
"command": "python",
"args": ["-m", "mcp_graphql", "--api-url", "https://api.example.com/graphql"]
}
}
MCP GraphQL automatically:
- Introspects the provided GraphQL API
- Creates an MCP tool for each available GraphQL query
- Generates JSON schema for tool inputs based on query parameters
- Handles type conversions between GraphQL and JSON
When a tool is called, the server:
- Converts the tool call parameters to a GraphQL query
- Executes the query against the API
- Returns the results to the MCP client
- Support for GraphQL mutations (with appropriate safeguards)
- Improved error handling and validation
- Additional optimizations based on specific GraphQL API implementations
# Create virtual environment using uv
uv venv
# Install dependencies
uv sync
ruff check .
When working locally you can start the MCP GraphQL server with hot-reloading and inspect its tools using the Model Context Protocol Inspector:
npx "@modelcontextprotocol/inspector" uv run -n --project $PWD mcp-graphql --api-url http://localhost:3010/graphql
Replace http://localhost:3010/graphql
with the URL of your local GraphQL endpoint if it differs.
This project is licensed under the MIT License. See the LICENSE file for details.
Contributions are welcome. Please feel free to submit a Pull Request or open an Issue.