io.github.letoribo/mcp-graphql-enhanced

Official

by letoribo · TypeScript

GraphQL gateway for LLMs. Handles huge GitHub GraphQL & @neo4j/graphql schemas without crashing

io.github.letoribo/mcp-graphql-enhanced — Model Context Protocol (MCP) Server

The MCP server provides a GraphQL gateway for LLMs. It is designed to handle large GitHub GraphQL schemas and @neo4j/graphql schemas, with the goal of avoiding crashes while processing them.

🛠️ Key Features

GraphQL gateway for LLMs
Handles huge GitHub GraphQL schema workloads
Supports @neo4j/graphql schema handling
Associated with Model Context Protocol (MCP)

🚀 Use Cases

Federated GraphQL and GraphQL gateway scenarios
Knowledge-graph integrations using Neo4j (neo4j)
LLM tool connectivity via MCP (llm-tools, mcp, mcp-server)

⚡ Developer Benefits

Schema introspection and HTTP API integration (schema-introspection, http-api)
Federation-oriented GraphQL workflows (federated-graphql, federation)
Works within an MCP environment (model-context-protocol)

⚠️ Limitations

No additional constraints, tool count, or operational details were provided in the source data.

Topics

ai-agentsapi-gatewaydiscordfederated-graphqlfederationgraphqlgraphql-gatewayknowledge-graphllm-toolsmcpmcp-servermodel-context-protocolneo4jrailwayschema-introspectionhttp-api

README.md19 KBView on GitHub

mcp-graphql-enhanced

Glama 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

✅ 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, Glama 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.

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

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

Zero Breaking Changes: If you provide a single URL in ENDPOINT, the server behaves exactly as before.
Federated Introspection: Scans all endpoints simultaneously to build a global capability map.
Smart Aggregation: When multiple comma-separated URLs are provided, the server broadcasts queries and merges results using universal deep deduplication (object-level).
Conflict Handling: Identifies structural differences in identical Type names across nodes and exposes them uniquely.
Bypass Free Tier Limits: Perfect for users of "Free Tier" cloud databases (like Neo4j Aura). You can split your data across multiple free instances and use this bridge to query them as a single unified graph, effectively bypassing entity count limitations.

Proof of Concept:

See a real-world demonstration of the federated query synthesis in action, where the agent aggregates live Discord data with historical Neo4j insights: 🔗 Live Federation Analysis (Shared Chat)

💡 Use Case: Bridging WSL and Windows (PowerShell)

A common challenge for Windows developers is the network isolation between the Windows Subsystem for Linux (WSL) and the host OS. This feature allows you to bridge these two worlds into a "Unified Nervous System".

Example configuration for Claude Desktop:

bash

{
  "ENDPOINT": "http://DESKTOP-NAME.local:2311/graphql,http://127.0.0.1:4000/graphql"
}

Hybrid Ecosystem: Seamlessly query and aggregate data across Windows-native processes (PowerShell) and Linux-based environments (WSL).
mDNS Support: By using .local addresses, the bridge automatically resolves the host machine's IP from within the WSL environment.
Transparent Aggregation: The AI assistant interacts with a single unified schema, unaware that the data is being fetched from different operating systems simultaneously.

🔍 Advanced Observability & Cypher

The bridge provides deep insights into how the LLM interacts with your graph database.

🕸️ Automated Cypher Extraction

For GraphQL server implementations that return query execution plans (like @neo4j/graphql), the bridge automatically:

Detects extensions.cypher in the response.
Sanitizes the output by stripping internal headers (like CYPHER 5 or empty PARAMS).
Injects a clean Cypher block directly into the tool's output for the AI to analyze.

Note: This feature requires your GraphQL server to be configured to include debug information in the response extensions.

🎨 Visual Command Center (GraphiQL)

Unlike standard MCP servers, this one provides a visual interface for humans. When running with ENABLE_HTTP=true, you can open a full-featured GraphiQL IDE in your browser.

Endpoint: http://localhost:6274/ (or /graphql, /graphiql)
Header Sync: Any headers set in your environment (like GitHub tokens) are automatically injected into the GraphiQL "Headers" tab for immediate testing.

💻 HTTP / Dual Transport

This server now runs in dual transport mode, supporting both the standard STDIO communication (used by most MCP clients) and a new HTTP JSON-RPC endpoint on port 6274.

This allows external systems, web applications, and direct curl commands to access the server's tools with live request logging in your terminal ([HTTP-RPC] logs).

Endpoint	Method	Description
`/graphiql`	`GET`	Human Interface: The visual GraphQL IDE.
`/mcp`	`POST`	The main JSON-RPC 2.0 endpoint for tool execution.
`/health`	`GET`	Simple health check, returns `{ status: 'ok' }`.

Automatic Port Selection

The server defaults to port 6274. If you encounter an EADDRINUSE error, the server will automatically find the next available port. Check the server logs for the final bound port (e.g., [HTTP] Started server on http://localhost:6275).

Resolving Port Conflicts (EADDRINUSE) and Automatic Port Selection

The server defaults to port 6274. If you encounter an EADDRINUSE: address already in use :::6274 error (common in local development due to stale processes), the server will automatically find the next available port (up to 10 attempts, not spawning multiple servers).

This ensures the server starts successfully even when the default is blocked. Always check the server logs for the final bound port (e.g., [HTTP] Started server on http://localhost:6275) if your curl or client tool fails on the default 6274.

To force a specific port (e.g., for guaranteed external firewall settings), you can still explicitly set the MCP_PORT environment variable:

Testing the HTTP Endpoint

You can test the endpoint using curl as long as the server is running (e.g., via npm run dev):

Test the health check (assuming the server bound to the default or found the next available port)

bash

curl http://localhost:6274/health

Testing the JSON-RPC Transport

code

curl -X POST http://localhost:6274/mcp  \
-H "Content-Type: application/json"  \
-d '{
  "jsonrpc":"2.0",
  "method":"tools/list",
  "params":{},
  "id":1
}'

curl -X POST http://localhost:6274/mcp \
-H "Content-Type: application/json" \
-d '{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "introspect-schema",
    "arguments": {}
  },
  "id": 2
}'

curl -X POST http://localhost:6274/mcp \
-H "Content-Type: application/json" \
-d '{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "introspect-schema",
    "arguments": {
      "typeNames": ["User", "Message"]
    }
  },
  "id": 3
}'

curl -X POST http://localhost:6274/mcp \
-H "Content-Type: application/json" \
-d '{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "introspect-schema",
    "arguments": {
      "typeNames": ["Message"],
      "typeDepth": 4
    }
  },
  "id": 4
}'

curl -X POST http://localhost:6274/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "query-graphql",
      "arguments": {
        "query": "{ guildChannels(guild_id: \"1312302100125843476\") { name id topic } }"
      }
    },
    "id": 5
  }'

(using port 6275 if 6274 was busy)

code

curl -X POST http://localhost:6275/mcp -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","method":"query-graphql","params":{"query":"query { __typename }"},"id":1}'

🔍 Use the official MCP Inspector to test your server live:

code

npx @modelcontextprotocol/inspector \
  -e ENDPOINT=https://api.example.com/graphql \
  npx @letoribo/mcp-graphql-enhanced

Environment Variables (Breaking change in 1.0.0)

Note: As of version 1.0.0, command line arguments have been replaced with environment variables.

Environment Variable	Description	Default
`ENDPOINT`	GraphQL endpoint(s). Supports comma-separated list for Multi-Node Architecture.	`https://mcp-discord.vercel.app/api/graphiql`
`HEADERS`	JSON string containing headers for requests	`{}`
`ALLOW_MUTATIONS`	Enable mutation operations (disabled by default)	`false`
`NAME`	Name of the MCP server	`mcp-graphql-enhanced`
`SCHEMA`	Path to a local GraphQL schema file or URL	-
`MCP_PORT`	Port for the HTTP/JSON-RPC server.	`6274`
`ENABLE_HTTP`	Enable HTTP transport: `auto` (default), `true`, or `false`	`auto`
Note on `ENABLE_HTTP`:

auto (default): Automatically enables HTTP only when running in MCP Inspector...
true: Always enable HTTP server
false: Disable HTTP server completely

🚀 Examples

1. Quick Start

Basic startup using the default endpoint.

bash

npx @letoribo/mcp-graphql-enhanced

2. Configuration & Authentication

Running with custom headers (e.g., for API keys or Bearer tokens).

code

ENDPOINT=https://api.example.com/graphql \
HEADERS='{"Authorization":"Bearer xyz"}' \
npx @letoribo/mcp-graphql-enhanced

3. Advanced Integration

Using a local .graphql file If you want to work with a local schema without querying the API directly.

code

ENDPOINT=http://localhost:3000/graphql \
SCHEMA=./schema.graphql \
npx @letoribo/mcp-graphql-enhanced

Enabling Mutations (Writes) Mutations are disabled by default for security. To enable them:

code

ENDPOINT=http://localhost:3000/graphql \
ALLOW_MUTATIONS=true \
npx @letoribo/mcp-graphql-enhanced

Multi-Node Architecture (Federation) Aggregating data from multiple sources into a single unified graph.

code

ENDPOINT=https://mcp-discord.vercel.app/api/graphiql,https://mcp-neo4j-discord.vercel.app/api/graphiql \
npx @letoribo/mcp-graphql-enhanced

4. Customizing Environment

Example of port configuration and development mode settings.

code

# Change the HTTP port
MCP_PORT=8080 npx @letoribo/mcp-graphql-enhanced

# Test targeted introspection and explore the schema visually:
ENDPOINT=https://api.github.com/graphql \
HEADERS='{"Authorization":"Bearer YOUR_GITHUB_TOKEN"}' \
ENABLE_HTTP=true \
npx @letoribo/mcp-graphql-enhanced

# Then visit http://localhost:6274/graphiql

5. Interactive Launch with mcpgql (Recommended)

If you want to skip manual environment variable setup, use our CLI tool available on npm. If installed globally (npm install -g @letoribo/mcpgql), simply run:

code

mcpgql

Alternatively, you can run it without global installation using:

code

npx @letoribo/mcpgql@latest

Zero-config start: Automatic discovery and template initialization.
Interactive selection: Toggle multiple endpoints and permissions on the fly.
Bridge mode: Automatically handles the Federated Bridge setup on localhost:6274.

6. Integration via Smithery CLI

Smithery provides a powerful way to manage your MCP servers, handle authentication, and interact with tools directly from your terminal

code

# 1. Install Smithery CLI
npm install -g smithery

# 2. Create a namespace
smithery namespace create {your-namespace}

# 3. Add the server
smithery mcp add letoribo/mcp-graphql-enhanced

# 4. Interact with tools
smithery tool list {connection}
smithery tool call {connection} {tool_name} '{"key": "value"}'

E.g.
smithery tool call letoribo-mcp-graphql-enhanced introspect-schema
smithery tool call letoribo-mcp-graphql-enhanced introspect-schema '{"typeNames": ["Guild", "Message", "User"]}'
smithery tool call letoribo-mcp-graphql-enhanced introspect-schema '{"typeNames": ["McpServer"], "typeDepth": 2}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ countMcpServers }"}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ countMcpServers(q: \"graphql\") }"}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ proxyInfo { host source timestamp } }"}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ guildChannels(guild_id: \"1312302100125843476\") { name id topic } }"}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ searchMcpServers(q: \"mcp-remote\", limit: 50) { id name namespace description environmentVariablesJsonSchema { properties required } } }"}'
smithery tool call letoribo-mcp-graphql-enhanced query-graphql '{"query": "{ getMcpServer(id: \"a17sht5lzn\") { name namespace description environmentVariablesJsonSchema { properties required } repository { url } slug spdxLicense { name url } tools { description inputSchema name } url attributes id }}"}'

☁️ Deploy to Cloud

This server is fully containerized and optimized for long-running processes.

Recommended Hosting

Platform	Recommended PORT	Notes
Railway	`8080`	Set `PORT` in Variables and update Networking ingress port.
Render	`10000`	Set `PORT` in Environment Variables.

Deploy on Railway

Important:

For hosted environments, you must set the environment variable ENABLE_HTTP=true in your platform's settings to ensure the HTTP transport layer is active.
Ensure your hosting provider's public networking settings are configured to route traffic to the port defined in your PORT environment variable to avoid 502 Bad Gateway errors.

🖥️ Claude Desktop Configuration Examples

You can connect Claude Desktop to your GraphQL API using either the npx package (recommended for simplicity) or the Docker image (ideal for reproducibility and isolation).

✅ Option 1: Using npx

bash

{
  "mcpServers": {
    "mcp-graphql-enhanced": {
      "command": "npx",
      "args": ["@letoribo/mcp-graphql-enhanced"],
      "env": {
        "ENDPOINT": "https://your-api.com/graphql"
      }
    }
  }
}

🐳 Option 2: Using Docker (auto-pull supported)

bash

{
  "mcpServers": {
    "mcp-graphql-enhanced": {
      "command": "sh",
      "args": [
        "-c",
        "docker run --rm -i -e ENDPOINT=$ENDPOINT -e HEADERS=$HEADERS -e ALLOW_MUTATIONS=$ALLOW_MUTATIONS ghcr.io/letoribo/mcp-graphql-enhanced:main"
      ],
      "env": {
        "ENDPOINT": "https://your-api.com/graphql",
        "HEADERS": "{\"Authorization\": \"Bearer YOUR_TOKEN\"}",
        "ALLOW_MUTATIONS": "false"
      }
    }
  }
}

🧪 Option 3: Using node with local build (for development)

If you’ve cloned the repo and built the project (npm run build → outputs to dist/):

bash

{
  "mcpServers": {
    "mcp-graphql-enhanced": {
      "command": "node",
      "args": ["dist/index.js"],
      "env": {
        "ENDPOINT": "https://your-api.com/graphql",
        "ALLOW_MUTATIONS": "true"
      }
    }
  }
}

Resources

graphql-schema: The server exposes the GraphQL schema as a resource that clients can access. This is either the local schema file, a schema file hosted at a URL, or based on an introspection query.

Available Tools

The server provides two main tools:

introspect-schema: Retrieves the GraphQL schema or a subset. Use this first to understand the graph structure.

Arguments:
- typeNames (optional, array): List of specific types to introspect (e.g., ["User", "Message"]). Reduces noise by returning only relevant parts of the graph.
- typeDepth (optional, number): Controls the recursion level of nested fields (Default: 2).
  
  Note: typeDepth is only functional when typeNames is provided to narrow the scope.
Note: Filtered introspection is only available when querying a live GraphQL endpoint.

query-graphql: Execute GraphQL queries against the endpoint. By default, mutations are disabled unless ALLOW_MUTATIONS is set to true.

Security Considerations

Mutations are disabled by default to prevent unintended data changes. Always validate HEADERS and SCHEMA inputs in production. Use HTTPS endpoints and short-lived tokens where possible.

Customize for your own server

This is a very generic implementation where it allows for complete introspection and for your users to do whatever (including mutations). If you need a more specific implementation I'd suggest to just create your own MCP and lock down tool calling for clients to only input specific query fields and/or variables. You can use this as a reference.

Install

Configuration

Environment variables

ENDPOINT

GraphQL endpoint(s). Supports comma-separated list for Multi-Node Architecture.

HEADERS

JSON string containing headers for requests.

ALLOW_MUTATIONS

Enable mutation operations (disabled by default).

NAME

Name of the MCP server.

SCHEMA

Path to a local GraphQL schema file or URL.

MCP_PORT

Port for the HTTP/JSON-RPC server.

ENABLE_HTTP

Enable HTTP transport: auto (default), true, or false.

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "mcp-graphql-enhanced": {
      "command": "npx",
      "args": [
        "-y",
        "@letoribo/mcp-graphql-enhanced@4.13.3"
      ],
      "env": {
        "ENDPOINT": "<YOUR_ENDPOINT>",
        "HEADERS": "<YOUR_HEADERS>",
        "ALLOW_MUTATIONS": "<YOUR_ALLOW_MUTATIONS>",
        "NAME": "<YOUR_NAME>",
        "SCHEMA": "<YOUR_SCHEMA>",
        "MCP_PORT": "<YOUR_MCP_PORT>",
        "ENABLE_HTTP": "<YOUR_ENABLE_HTTP>"
      }
    }
  }
}