Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. MCP is an open protocol that standardizes how applications provide context to LLMs.

Question 2

What is `mcp-graphql`?

Accepted Answer

`mcp-graphql` is a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to interact with GraphQL APIs. It provides schema introspection and query execution capabilities.

Question 3

How do I install `mcp-graphql`?

Accepted Answer

You can install it via Smithery using the command `npx -y @smithery/cli install mcp-graphql --client claude` or manually by configuring your Claude environment with the provided JSON.

Question 4

What environment variables are used to configure `mcp-graphql`?

Accepted Answer

The key environment variables are `ENDPOINT` (GraphQL endpoint URL), `HEADERS` (JSON string for request headers), `ALLOW_MUTATIONS` (enables mutation operations), `NAME` (name of the MCP server), and `SCHEMA` (path to a local GraphQL schema file).

Question 5

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

Accepted Answer

Mutations are disabled by default to prevent LLMs from modifying your database. Exercise caution and consider access controls before enabling mutations in production environments.

Question 6

Can I customize `mcp-graphql` for my specific server?

Accepted Answer

Yes, you can create your own MCP server implementation and lock down tool calling for clients to specific query fields and/or variables. Use `mcp-graphql` as a reference.

Question 7

What tools does `mcp-graphql` provide?

Accepted Answer

It provides `introspect-schema` to retrieve the GraphQL schema and `query-graphql` to execute GraphQL queries against the endpoint.

Question 8

Why use UBOS with `mcp-graphql`?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. The UBOS platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

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