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GraphQL Forge

Safety: 65/100

0.0(0)

Transforms GraphQL endpoints into modular MCP servers via YAML configuration, enabling secure and intentional API interactions for agents.

MCP ServersFreemium

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Overview

Transforms GraphQL endpoints into modular MCP servers via YAML configuration, enabling secure and intentional API interactions for agents.

The safety of mcp-graphql-forge depends heavily on the configuration of the GraphQL queries and the token command. When configured with read-only queries and a secure token retrieval mechanism, it can be relatively safe. However, poorly designed queries or a vulnerable token command could expose the underlying GraphQL endpoint to significant risks.

Performance depends on the complexity of the GraphQL queries and the performance of the underlying GraphQL server. The TOON output format can improve performance for LLM consumption by reducing token usage.

Cost depends on the number of API calls to the GraphQL server and the token command. Consider implementing caching and rate limiting to minimize costs.

HybridGo4 starsMITReleased 2/9/2026CI/CD

Connections & Capabilities

Connects To

GitHub

Capabilities

ReadWriteExec

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Tools (1)

safe

getUser

Fetches basic user information by login, including name, URL, and location.

Read-only operation fetching user data.

Security

Auth Method

Token

Data Locality

hybrid

Known Risks

!Potential for exposing sensitive data through poorly designed GraphQL queries.
!Command injection vulnerabilities in the token command execution.
!Lack of rate limiting can lead to denial-of-service attacks on the GraphQL endpoint.
!Exposure of environment variables to the token command if `env_passthrough` is enabled.
!The server can only be used with a single GraphQL server at a single URL, limiting its flexibility.

Safety Score

moderate risk

The safety of `mcp-graphql-forge` depends heavily on the configuration of the GraphQL queries and the token command. When configured with read-only queries and a secure token retrieval mechanism, it can be relatively safe. However, poorly designed queries or a vulnerable token command could expose the underlying GraphQL endpoint to significant risks.

Positive

+Configuration-driven, allowing for explicit control over exposed queries.
+Supports read-only hints to limit tool capabilities.
+Token command execution is configurable, enabling centralized credential management.
+Output formatting options (TOON) can reduce token usage and exposure of raw data.

Risks

-Improperly configured GraphQL queries could expose sensitive data.
-Token command execution introduces a risk of command injection if not properly sanitized.
-Lack of built-in rate limiting could lead to abuse of the underlying GraphQL endpoint.
-If `env_passthrough` is enabled, sensitive environment variables could be exposed to the token command.

Use Cases

Data Retrieval

-Fetching user profiles from a social media platform.
-Retrieving product information from an e-commerce API.
-Querying data from a knowledge graph.

Automation

-Automating tasks based on data retrieved from a GraphQL API.
-Integrating GraphQL data into automated workflows.
-Triggering actions based on changes in GraphQL data.

LLM Integration

-Providing structured data to LLMs for context.
-Using LLMs to generate GraphQL queries.
-Converting GraphQL responses to TOON format for efficient LLM consumption.

Who Is This For?

Best For

Teams that need to expose GraphQL data to agents in a controlled manner.
Organizations that want to integrate GraphQL data into automated workflows.
Developers who want to create modular and extensible MCP servers.
Scenarios where token efficiency is critical for LLM integration.

Not Ideal For

Simple use cases where a direct GraphQL client is sufficient.
Environments with strict security requirements that prohibit command execution.
Situations where real-time data updates are required.

Autonomy & Execution

Default ModeConfigurable

Autonomy is highly dependent on the configured tools and their permissions. Read-only tools can be safely automated, while tools with write access require careful consideration.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Implement robust error handling and monitoring for the token command to ensure reliable token retrieval.

FAQ

What is the purpose of `mcp-graphql-forge`?

It transforms GraphQL endpoints into modular MCP servers, enabling secure and intentional API interactions for agents.

How is `mcp-graphql-forge` configured?

It is configured using command-line parameters, environment variables, and YAML files that define the GraphQL queries and their parameters.

What output formats are supported?

It supports raw, JSON (minimized), and TOON (Token-Oriented Object Notation) output formats.

How does the TOON output format help with LLMs?

TOON can reduce token usage by 30-60% for uniform, tabular data, making it more efficient for LLM consumption.

What are the security considerations when using `mcp-graphql-forge`?

Ensure that GraphQL queries are properly designed to avoid exposing sensitive data and that the token command is secure to prevent command injection vulnerabilities.

Can I use `mcp-graphql-forge` with multiple GraphQL servers?

No, each instance of `mcp-graphql-forge` can only be used with a single GraphQL server at a single URL.

How do I run `mcp-graphql-forge` in HTTP mode?

Use the `--http` command-line flag followed by the server address and port (e.g., `--http 8080`).

Metrics

Discovered2/14/2026

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