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mcp-graphql-enhanced

An enhanced MCP (Model Context Protocol) server for GraphQL that fixes real-world interoperability issues between LLMs and GraphQL APIs.

Drop-in replacement for mcp-graphql — with dynamic headers, robust variables parsing, and zero breaking changes.

🎯 What is mcp-graphql-enhanced?

mcp-graphql-enhanced is a high-performance, federated GraphQL gateway designed to act as a workhorse for LLM agents. It bridges the gap between massive, complex GraphQL ecosystems and the context-limited environment of AI assistants. Unlike standard "all-or-nothing" introspection tools that crash under the weight of large schemas (like GitHub's or enterprise-grade Neo4j graphs), this server provides surgical control over how your agent perceives and interacts with your data.

💡 Why do you need it?

If you have ever seen the<error>Tool result is too large</error>while trying to introspect your API, you are already hitting the limits of standard MCP implementations. Here is why mcp-graphql-enhanced is the industry-standard choice for professional environments:

Avoid the 1MB Ceiling: It shifts the responsibility for scope from the server to the caller. Instead of a unilateral "everything or nothing" dump, you get granular control via typeNames and typeDepth parameters.

Surgical Precision: You can selectively introspect only the nodes you need (e.g., Repository, User, or Message), keeping your context window clean and your LLM focused.

Predictability over Immunity: It doesn't promise "unlimited" capacity—it promises predictability. In enterprise systems, you need a tool that lets you navigate the graph surgically and fail predictably if you overstep, rather than a "black box" that dies on you the moment the schema grows.

Proof of Performance: See a real-world demonstration of the gateway bypassing standard architectural limits during a live diagnostic test against the GitHub API: 🔗 Diagnostic Case Study: Scoped vs. Monolithic Introspection (Shared Chat)

💬 Community & Support

Join the conversation! If you have questions about using this bridge with Neo4j, Discord data graphs, or GraphQL in general, come hang out with us:

• Discord Channel: #mcp-graphql-enhanced
• Server: The official GraphQL Discord

This is the best place to share your feedback, report issues, or suggest new "enhanced" features for the bridge.

✨ Key Enhancements

• ✅ Dynamic Endpoint Switching — Hot-swap targets on the fly directly via tool arguments without restarting the server or losing session context.
• ✅ Built-in GraphiQL IDE — Visual playground at / (or /graphql, /graphiql) with pre-configured headers for instant testing and introspection.
• ✅ Dual Transport — Supports both STDIO (for local CLI/client tools) and HTTP/JSON-RPC (for external/browser clients).
• ✅ Dynamic headers — pass Authorization, X-API-Key, etc., via tool arguments (no config restarts)
• ✅ Robust variables parsing — fixes “Query variables must be a null or an object” error
• ✅ Smart introspection — supports filtered requests (via typeNames) and recursive depth control (via typeDepth) to minimize LLM context noise and optimize schema exploration.
• ✅ Full MCP compatibility — works with Claude Desktop, Groq Desktop, Google Antigravity, Glama, Gemini CLI, Hermes Agent and any standard MCP client
• ✅ Secure by default — mutations disabled unless explicitly enabled
• ✅ Dynamic Schema Evolution — Smart diagnostics and gap analysis for servers that regenerate GraphQL types on-the-fly (like Neo4j).
• ✅ Deep Observability — Automatic Cypher extraction and cleaning from GraphQL extensions.

🔥 Dynamic Endpoint Switching

The bridge allows LLMs or clients to dynamically target different GraphQL endpoints at runtime within a single session without requiring server restarts or configuration changes.

Simply pass the optional endpoint parameter in query-graphql or introspect-schema:

• Zero Downtime: Hot-swaps the underlying schema and clears internal caches instantly.
• Context Preservation: Keeps the MCP connection open while shifting queries between different environments (e.g., switching from a Discord ingest node to a Neo4j graph database).

🚀 Federated Multi-Node Architecture (v3.9.1+)

The server operates as a Federated GraphQL Gateway, merging independent nodes into a unified system.…