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MCP server for GraphQL with dynamic headers and robust variables parsing — a drop-in replacement for mcp-graphql.","maintainers":[{"name":"letoribo","email":"yuchistyakov@gmail.com"}],"readme":"# mcp-graphql-enhanced\n[![Glama](https://glama.ai/mcp/servers/@letoribo/mcp-graphql-enhanced/badge)](https://glama.ai/mcp/servers/@letoribo/mcp-graphql-enhanced)\n[![mcp-graphql-enhanced MCP server](https://glama.ai/mcp/servers/letoribo/mcp-graphql-enhanced/badges/score.svg)](https://glama.ai/mcp/servers/letoribo/mcp-graphql-enhanced)[![Smithery Listed](https://img.shields.io/badge/smithery-listed-ff5601?style=flat&logo=rocket&logoColor=white)](https://smithery.ai/servers/letoribo/mcp-graphql-enhanced)[![npm version](https://img.shields.io/npm/v/@letoribo/mcp-graphql-enhanced?style=flat-square)](https://www.npmjs.com/package/@letoribo/mcp-graphql-enhanced)[![MCP Registry](https://img.shields.io/badge/MCP_Registry-io.github.letoribo%2Fmcp--graphql--enhanced-007ec6?style=flat-square)](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.letoribo%2Fmcp-graphql-enhanced/versions/latest)[![Agent Trust Fabric](https://trust.redthreadsec.com/badge/mcp/io.github.letoribo/mcp-graphql-enhanced.svg)](https://trust.redthreadsec.com/v/mcp/io.github.letoribo/mcp-graphql-enhanced)\n\nAn **enhanced MCP (Model Context Protocol) server for GraphQL** that fixes real-world interoperability issues between LLMs and GraphQL APIs.\n> Drop-in replacement for `mcp-graphql` — with dynamic headers, robust variables parsing, and zero breaking changes.\n\n#### 🎯 What is mcp-graphql-enhanced?\n`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.\n\n#### 💡 Why do you need it?\nIf 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 a practical choice for professional environments:\n\nAvoid 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.\n\nSurgical 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.\n\nPredictability 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.\n\nDemonstration: See a real-world diagnostic test against the GitHub API that compares scoped and monolithic introspection:\n🔗 Diagnostic Case Study: Scoped vs. Monolithic Introspection ([Shared Chat](https://claude.ai/share/5b845f72-809a-42ee-8083-361314126069))\n\n## 💬 Community & Support\n\nJoin the conversation! If you have questions about using this bridge with Neo4j, Discord data graphs, or GraphQL in general, come hang out with us:\n\n* **Discord Channel:** [#mcp-graphql-enhanced](https://discord.com/channels/625400653321076807/1480510460339159184)\n* **Server:** The official **GraphQL Discord**\n\nThis is the best place to share your feedback, report issues, or suggest new \"enhanced\" features for the bridge.\n\n## ✨ Key Enhancements\n* ✅ **Dynamic Endpoint Switching** — Hot-swap targets on the fly directly via tool arguments without restarting the server or losing session context.\n* ✅ **Built-in GraphiQL IDE** — Visual playground at / (or /graphql, /graphiql) with pre-configured headers for instant testing and introspection.\n* ✅ **Dual Transport** — Supports both **STDIO** (for local CLI/client tools) and **HTTP/JSON-RPC** (for external/browser clients).\n* ✅ **Dynamic headers** — pass `Authorization`, `X-API-Key`, etc., via tool arguments (no config restarts)\n* ✅ **Robust variables parsing** — fixes `“Query variables must be a null or an object”` error\n* ✅ **Smart introspection** — supports filtered requests (via typeNames) and recursive depth control (via typeDepth) to minimize LLM context noise and optimize schema exploration.\n* ✅ **Full MCP compatibility** — works with **Claude Desktop**, **Groq Desktop**, **Google Antigravity**, **Glama**, **Gemini CLI**, **Hermes Agent** and any standard MCP client\n* ✅ **Secure by default** — mutations disabled unless explicitly enabled\n* ✅ **Dynamic Schema Evolution** — Smart diagnostics and gap analysis for servers that regenerate GraphQL types on-the-fly (like Neo4j).\n* ✅ **Deep Observability** — Automatic Cypher extraction and cleaning from GraphQL extensions.\n\n## 🔥 Dynamic Endpoint Switching\nThe bridge allows LLMs or clients to dynamically target different GraphQL endpoints at runtime within a single session without requiring server restarts or configuration changes.\n\nSimply pass the optional `endpoint` parameter in `query-graphql` or `introspect-schema`:\n* **Zero Downtime**: Hot-swaps the underlying schema and clears internal caches instantly.\n* **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).\n\n## 🚀 Federated Multi-Node Architecture (since v3.9.1)\n\nThe server operates as a Federated GraphQL Gateway capable of querying multiple independent GraphQL environments through a single endpoint.\n\n* **Zero Breaking Changes**: If you provide a single URL in `ENDPOINT`, the server behaves exactly as before.\n\n* **Federated Capability Discovery**: During startup, all configured endpoints are introspected to build a federated manifest used for routing, relevance analysis, and node selection.\n\n* **Stable Runtime Introspection**: Direct GraphQL introspection queries (`__schema`, `__type`) are always resolved against the first configured endpoint. This preserves a consistent schema model and avoids corruption caused by merging independent introspection trees.\n\n* **Selective Node Routing**: The federated manifest is consulted before execution to determine whether a query is relevant to a node, reducing unnecessary requests and improving performance.\n\n* **Schema-Adaptive Broadcasts**: Queries are automatically pruned against each participating schema before execution. Unsupported fields and empty selection branches are removed on a per-node basis, allowing a single query to operate across heterogeneous GraphQL environments.\n\n* **Smart Aggregation**: When multiple comma-separated URLs are provided, the server broadcasts queries, aggregates responses, and performs universal deep object-level deduplication.\n\n* **Conflict Handling**: Structural differences between identically named types across nodes are detected and exposed safely.\n\n* **Unified Graph Experience**: Independent GraphQL systems can be queried through a single endpoint, including combinations such as GitHub GraphQL, Neo4j GraphQL, and custom GraphQL APIs.\n\n* **Bypass Free Tier Limits**: Useful for Free Tier cloud databases (for example Neo4j Aura). Data can be distributed across multiple instances while remaining queryable through a single federated gateway.\n\n#### Proof of Concept:\nSee a real-world demonstration of the federated query synthesis in action, where the agent aggregates live Discord data with historical Neo4j insights:\n🔗 Live Federation Analysis ([Shared Chat](https://claude.ai/share/69a1f8dc-10f0-4c5b-bfe2-267f1294851a))\n\n#### 💡 Use Case: Bridging WSL and Windows (PowerShell)\nA 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\".  \n\nExample configuration for Claude Desktop:\n```bash\n{\n  \"ENDPOINT\": \"http://DESKTOP-NAME.local:2311/graphql,http://127.0.0.1:4000/graphql\"\n}\n```\n*   **Hybrid Ecosystem**: Seamlessly query and aggregate data across Windows-native processes (PowerShell) and Linux-based environments (WSL).  \n\n*   **mDNS Support**: By using .local addresses, the bridge automatically resolves the host machine's IP from within the WSL environment.  \n\n*   **Transparent Aggregation**: The AI assistant interacts with a single unified schema, unaware that the data is being fetched from different operating systems simultaneously.\n\n## 🔍 Advanced Observability & Cypher\nThe bridge provides deep insights into how the LLM interacts with your graph database. \n\n### 🕸️ Automated Cypher Extraction\nFor GraphQL server implementations that return query execution plans (like `@neo4j/graphql`), the bridge automatically:\n1. **Detects** `extensions.cypher` in the response.\n2. **Sanitizes** the output by stripping internal headers (like `CYPHER 5` or empty `PARAMS`).\n3. **Injects** a clean Cypher block directly into the tool's output for the AI to analyze.\n\n> **Note:** This feature requires your GraphQL server to be configured to include debug information in the response extensions.\n\n---\n## 🎨 Visual Command Center (GraphiQL)\nUnlike 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.\n\n* **Endpoint:** `http://localhost:6274/` (or /graphql, /graphiql)\n* **Header Sync:** Any headers set in your environment (like GitHub tokens) are automatically injected into the GraphiQL \"Headers\" tab for immediate testing.\n\n## 💻 HTTP / Dual Transport\n\nThis server runs in **dual transport mode**, supporting both the standard **STDIO** communication (used by most MCP clients) and an **HTTP JSON-RPC** endpoint on port `6274`.\n\nThis 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).\n\n| **Endpoint** | **Method** | **Description** |\n| :--- | :--- | :--- |\n| `/graphiql` | `GET` | Human Interface: The visual GraphQL IDE. |\n| `/mcp` | `POST` | The main JSON-RPC 2.0 endpoint for tool execution. |\n| `/health` | `GET` | Simple health check, returns `{ status: 'ok' }`. |\n\n### Resolving Port Conflicts (EADDRINUSE) and Automatic Port Selection\n\nThe 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).\n\nThis 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`.\n\nTo **force a specific port** (e.g., for guaranteed external firewall settings), you can still explicitly set the `MCP_PORT` environment variable:\n\n```bash\nMCP_PORT=8080 npx @letoribo/mcp-graphql-enhanced\n```\n\n### Testing the HTTP Endpoint\nYou can test the endpoint using `curl` as long as the server is running (e.g., via `npm run dev`):\n#### Test the health check (assuming the server bound to the default or found the next available port)\n```bash\ncurl http://localhost:6274/health\n```\n#### Testing the JSON-RPC Transport\n```\ncurl -X POST http://localhost:6274/mcp  \\\n-H \"Content-Type: application/json\"  \\\n-d '{\n  \"jsonrpc\":\"2.0\",\n  \"method\":\"tools/list\",\n  \"params\":{},\n  \"id\":1\n}'\n\ncurl -X POST http://localhost:6274/mcp \\\n-H \"Content-Type: application/json\" \\\n-d '{\n  \"jsonrpc\": \"2.0\",\n  \"method\": \"tools/call\",\n  \"params\": {\n    \"name\": \"introspect-schema\",\n    \"arguments\": {}\n  },\n  \"id\": 2\n}'\n\ncurl -X POST http://localhost:6274/mcp \\\n-H \"Content-Type: application/json\" \\\n-d '{\n  \"jsonrpc\": \"2.0\",\n  \"method\": \"tools/call\",\n  \"params\": {\n    \"name\": \"introspect-schema\",\n    \"arguments\": {\n      \"endpoint\": \"https://mcp-neo4j-discord.vercel.app/api/graphiql\"\n    }\n  },\n  \"id\": 3\n}'\n\ncurl -X POST http://localhost:6274/mcp \\\n-H \"Content-Type: application/json\" \\\n-d '{\n  \"jsonrpc\": \"2.0\",\n  \"method\": \"tools/call\",\n  \"params\": {\n    \"name\": \"introspect-schema\",\n    \"arguments\": {\n      \"typeNames\": [\"User\", \"Message\"]\n    }\n  },\n  \"id\": 4\n}'\n\ncurl -X POST http://localhost:6274/mcp \\\n-H \"Content-Type: application/json\" \\\n-d '{\n  \"jsonrpc\": \"2.0\",\n  \"method\": \"tools/call\",\n  \"params\": {\n    \"name\": \"introspect-schema\",\n    \"arguments\": {\n      \"typeNames\": [\"Message\"],\n      \"typeDepth\": 4\n    }\n  },\n  \"id\": 5\n}'\n\ncurl -X POST http://localhost:6274/mcp \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"jsonrpc\": \"2.0\",\n    \"method\": \"tools/call\",\n    \"params\": {\n      \"name\": \"query-graphql\",\n      \"arguments\": {\n        \"query\": \"{ guildChannels(guild_id: \\\"1312302100125843476\\\") { name id topic } }\"\n      }\n    },\n    \"id\": 6\n  }'\n\n# Executing query with dynamic endpoint switching\ncurl -X POST http://localhost:6274/mcp \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"jsonrpc\": \"2.0\",\n    \"method\": \"tools/call\",\n    \"params\": {\n      \"name\": \"query-graphql\",\n      \"arguments\": {\n        \"endpoint\": \"https://mcp-neo4j-discord.vercel.app/api/graphiql\",\n        \"query\": \"{ getGuilds { name } }\"\n      }\n    },\n    \"id\": 7\n  }'\n\n# Targeted introspection with depth control and dynamic endpoint switching\ncurl -X POST http://localhost:6274/mcp \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"jsonrpc\": \"2.0\",\n    \"method\": \"tools/call\",\n    \"params\": {\n      \"name\": \"introspect-schema\",\n      \"arguments\": {\n        \"endpoint\": \"https://mcp-neo4j-discord.vercel.app/api/graphiql\",\n        \"typeNames\": [\"Message\"],\n        \"typeDepth\": 1\n      }\n    },\n    \"id\": 8\n  }'\n```\n (using port 6275 if 6274 was busy)\n```\ncurl -X POST http://localhost:6275/mcp -H \"Content-Type: application/json\" -d '{\"jsonrpc\":\"2.0\",\"method\":\"tools/call\",\"params\":{\"name\":\"query-graphql\",\"arguments\":{\"query\":\"query { __typename }\"}},\"id\":1}'\n```\n\n#### 🔍 Use the official MCP Inspector to test your server live:\n```\nnpx @modelcontextprotocol/inspector \\\n  -e ENDPOINT=https://api.example.com/graphql \\\n  npx @letoribo/mcp-graphql-enhanced\n```\n### Environment Variables\n> **Note:** As of version 1.0.0, command line arguments have been replaced with environment variables.\n\n| Environment Variable | Description | Default |\n| :--- | :--- | :--- |\n| `ENDPOINT` | GraphQL endpoint(s). Supports comma-separated list. | `\"\"` *(Safe offline fallback mode with built-in Tips & Tricks)* |\n| `HEADERS` | JSON string containing headers for requests | `{}` |\n| `ALLOW_MUTATIONS` | Enable mutation operations (disabled by default) | `false` |\n| `NAME` | Name of the MCP server | `mcp-graphql-enhanced` |\n| `SCHEMA` | Path to a local GraphQL schema file or URL | - |\n| `MCP_PORT` | Port for the HTTP/JSON-RPC server. | `6274` |\n| `ENABLE_HTTP` | Enable HTTP transport: `auto` (default), `true`, or `false` | `auto` |\n**Note on `ENABLE_HTTP`:** \n- `auto` (default): Automatically enables HTTP only when running in MCP Inspector.\n- `true`: Always enable HTTP server\n- `false`: Disable HTTP server completely\n### 🚀 Examples\n#### 1. Quick Start\nBasic startup in secure offline mode (launches with built-in Tips & Tricks and no external network traffic):\n```bash\nnpx @letoribo/mcp-graphql-enhanced\n```\nTo connect your custom backend, pass the `ENDPOINT` variable:\n```\nENDPOINT=https://api.example.com/graphql \\\nnpx @letoribo/mcp-graphql-enhanced\n```\n#### 2. Configuration & Authentication\nRunning with custom headers (e.g., for API keys or Bearer tokens).\n```\nENDPOINT=https://api.example.com/graphql \\\nHEADERS='{\"Authorization\":\"Bearer xyz\"}' \\\nnpx @letoribo/mcp-graphql-enhanced\n```\n#### 3. Advanced Integration\nUsing a local .graphql file If you want to work with a local schema without querying the API directly.\n```\nENDPOINT=http://localhost:3000/graphql \\\nSCHEMA=./schema.graphql \\\nnpx @letoribo/mcp-graphql-enhanced\n```\nEnabling Mutations (Writes) Mutations are disabled by default for security. To enable them:\n```\nENDPOINT=http://localhost:3000/graphql \\\nALLOW_MUTATIONS=true \\\nnpx @letoribo/mcp-graphql-enhanced\n```\nMulti-Node Architecture (Federation) Aggregating data from multiple sources into a single unified graph.\n```\nENDPOINT=https://mcp-discord.vercel.app/api/graphiql,https://mcp-neo4j-discord.vercel.app/api/graphiql \\\nnpx @letoribo/mcp-graphql-enhanced\n```\n#### 4. Customizing Environment\nExample of port configuration and development mode settings.\n```\n# Change the HTTP port\nMCP_PORT=8080 npx @letoribo/mcp-graphql-enhanced\n\n# Test targeted introspection and explore the schema visually:\nENDPOINT=https://api.github.com/graphql \\\nHEADERS='{\"Authorization\":\"Bearer YOUR_GITHUB_TOKEN\"}' \\\nENABLE_HTTP=true \\\nnpx @letoribo/mcp-graphql-enhanced\n\n# Then visit http://localhost:6274/graphiql\n```\n#### 5. Interactive Launch with mcpgql (Recommended)\nIf you want to skip manual environment variable setup, use our CLI tool available on [npm](https://www.npmjs.com/package/@letoribo/mcpgql).\nIf installed globally (`npm install -g @letoribo/mcpgql`), simply run:\n```\nmcpgql\n```\nAlternatively, you can run it without global installation using:\n```\nnpx @letoribo/mcpgql@latest\n```\n- **Zero-config start**: Automatic discovery and template initialization.\n- **Interactive selection**: Toggle multiple endpoints and permissions on the fly.\n- **Bridge mode**: Automatically handles the Federated Bridge setup on localhost:6274.  \n### ☁️ Deploy to Cloud\nThis server is fully containerized and optimized for long-running processes.\n### Recommended Hosting\n| Platform | Recommended PORT | Notes |\n| :--- | :--- | :--- |\n| ***Railway*** | `8080` | Set `PORT` in Variables and update Networking ingress port. |\n| ***Render*** | `10000` | Set `PORT` in Environment Variables. |\n| **Azure Container Apps** | `8080` | Set `PORT` and `ENABLE_HTTP=true` in Environment Variables, then enable Ingress targeting the same port.\n\n#### Quick Azure CLI Deployment\n\n```bash\naz containerapp up \\\n  --name mcp-graphql-enhanced \\\n  --resource-group mcp-graphql-rg \\\n  --image ghcr.io/letoribo/mcp-graphql-enhanced:latest \\\n  --ingress external \\\n  --target-port 8080 \\\n  --env-vars ENABLE_HTTP=true PORT=8080\n```\n\n[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/new?template=https://github.com/letoribo/mcp-graphql-enhanced)\n\n**Important:** \n* 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.\n* 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.\n\n### ⚠️ Concurrent Cloud Usage & Dynamic Endpoints\n\nWhile `mcp-graphql-enhanced` supports switching target endpoints on the fly via the optional `endpoint` argument, keep state mutability in mind when running in hosted/shared environments (e.g., Render, Railway, Smithery):\n\n* **State Isolation:** Providing an `endpoint` argument dynamically updates the active graph context for the server instance.\n* **Best Practice for Concurrent Cloud Requests:** If multiple clients, agent sessions, or automated workers share the same cloud instance, **always pass the `endpoint` explicitly in every tool call** (`query-graphql` and `introspect-schema`).\n* **Preventing Context Drift:** Relying on the implicitly cached endpoint in a shared environment can lead to race conditions where a concurrent call from another session switches the active upstream URL under your feet.\n\n### 🌐 Public Live Gateways (Hosted SSE/HTTP Bridges)\n\nIf you want to test the bridge instantly without running local Node.js processes, use our hosted cloud endpoints:\n\n[![Cloudflare Workers](https://img.shields.io/badge/cloudflare-deployed-F38020?style=flat&logo=cloudflare&logoColor=white&labelColor=555)](https://mcp-graphql-enhanced.letoribo.workers.dev/mcp)\n[![Vercel Deployment](https://img.shields.io/badge/vercel-deployed-4c1?style=flat&logo=vercel&logoColor=white&labelColor=555)](https://mcp-graphql-enhanced.vercel.app/mcp)\n\n| Platform | Edge Runtime | Public MCP Endpoint |\n| :--- | :--- | :--- |\n| **Cloudflare Workers** | Workers V8 (Global Edge) | [`mcp-graphql-enhanced.letoribo.workers.dev/mcp`](https://mcp-graphql-enhanced.letoribo.workers.dev/mcp) |\n| **Vercel** | Node.js Serverless | [`mcp-graphql-enhanced.vercel.app/mcp`](https://mcp-graphql-enhanced.vercel.app/mcp) |\n\n> **Note:** Public gateways operate in shared environments. Remember to supply your explicit `endpoint` and `headers` in tool calls to ensure request isolation.\n\n### 🖥️ Claude Desktop Configuration Examples\nYou 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).\n### ✅ Option 1: Using npx\n```bash\n{\n  \"mcpServers\": {\n    \"mcp-graphql-enhanced\": {\n      \"command\": \"npx\",\n      \"args\": [\"@letoribo/mcp-graphql-enhanced\"],\n      \"env\": {\n        \"ENDPOINT\": \"https://your-api.com/graphql\"\n      }\n    }\n  }\n}\n```\n### 🐳 Option 2: Using Docker (auto-pull supported)\n```bash\n{\n  \"mcpServers\": {\n    \"mcp-graphql-enhanced\": {\n      \"command\": \"sh\",\n      \"args\": [\n        \"-c\",\n        \"docker run --rm -i -e ENDPOINT=$ENDPOINT -e HEADERS=$HEADERS -e ALLOW_MUTATIONS=$ALLOW_MUTATIONS ghcr.io/letoribo/mcp-graphql-enhanced:main\"\n      ],\n      \"env\": {\n        \"ENDPOINT\": \"https://your-api.com/graphql\",\n        \"HEADERS\": \"{\\\"Authorization\\\": \\\"Bearer YOUR_TOKEN\\\"}\",\n        \"ALLOW_MUTATIONS\": \"false\"\n      }\n    }\n  }\n}\n```\n### 🧪 Option 3: Using node with local build (for development)\nIf you’ve cloned the repo and built the project (npm run build → outputs to dist/):\n```bash\n{\n  \"mcpServers\": {\n    \"mcp-graphql-enhanced\": {\n      \"command\": \"node\",\n      \"args\": [\"dist/index.js\"],\n      \"env\": {\n        \"ENDPOINT\": \"https://your-api.com/graphql\",\n        \"ALLOW_MUTATIONS\": \"true\"\n      }\n    }\n  }\n}\n```\n## 🖥️ Live Playground Integration (`mcp-graphiql`)\nEver wished your GraphQL queries generated inside Claude Desktop or Antigravity would auto-populate directly into your GraphiQL playground in real time?\n\n`@letoribo/mcp-graphql-enhanced` provides an HTTP/SSE bridge to [mcp-graphiql](https://github.com/letoribo/mcp-graphiql). Whenever your AI agent calls `query-graphql`, the payload streams instantly into an active GraphiQL tab, while `introspect-schema` hot-reloads and updates the Docs explorer in real time when switching endpoints.\n## Resources\n- **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.\n## Available Tools\nThe server provides two main tools:\n1. **introspect-schema**: Retrieves the GraphQL schema or a subset. Use this first to understand the graph structure.\n  - ***Arguments:***\n    - `typeNames` *(optional, array)*: List of specific types to introspect (e.g., `[\"User\", \"Message\"]`). Reduces noise by returning only relevant parts of the graph.\n    - `typeDepth` *(optional, number)*: Controls the recursion level of nested fields (Default: `2`). \n      > **Note:** `typeDepth` is only functional when `typeNames` is provided to narrow the scope.\n    - `endpoint` *(optional, string)*: Target GraphQL HTTP/HTTPS URL to dynamically switch endpoint on the fly before executing introspection.\n    - `headers` *(optional, string)*: JSON stringified object of custom HTTP headers (e.g., `'{\"Authorization\": \"Bearer token\"}'`).\n  - **Note:** Filtered introspection is only available when querying a live GraphQL endpoint.\n2. **query-graphql**: Execute GraphQL queries against the endpoint. By default, mutations are disabled unless `ALLOW_MUTATIONS` is set to `true`.\n  - ***Arguments:***\n    - `query` *(required, string)*: The GraphQL query or mutation string.\n    - `variables` *(optional, string)*: JSON stringified object of variables.\n    - `endpoint` *(optional, string)*: Target GraphQL HTTP/HTTPS URL to dynamically switch endpoint on the fly before executing query.\n    - `headers` *(optional, string)*: JSON stringified object of custom HTTP headers (e.g., `'{\"Authorization\": \"Bearer token\"}'`).\n\n💡 Note: Dynamic Headers vs Static env\nPreviously, auth tokens had to be hardcoded statically at startup inside the configuration's \"env\" block (e.g., in claude_desktop_config.json).\n\nWith the optional headers argument added directly to query-graphql and introspect-schema, you get total dynamic control:\n* Keep Secrets in Your Terminal: You don't have to feed your private tokens (like GitHub PATs or Bearer keys) directly into Claude's prompt or static setup. Just set \"ENABLE_HTTP\": \"true\", run your cURL commands or local scripts directly in the terminal, and pass headers there. Any headers passed at runtime will override static tokens from your config file. Otherwise, Claude might just laugh at you for sharing your raw secret tokens in the chat!\n* On-the-Fly Switching: You can dynamically inject different auth headers per request or per endpoint right at execution time without restarting the MCP server.\n\n## 🔒 Security & Privacy Notice\n\n> **No Implicit External Traffic:**\n> We removed the hardcoded default endpoint (previously pointing to our official demo graph endpoint, which automated security scanners flagged as an unchosen third-party host). \n> \n> If no `ENDPOINT` environment variable is explicitly provided, the bridge no longer initiates any network requests. Instead, it securely boots into an **offline local fallback mode** powered by an embedded schema with built-in documentation and Tips & Tricks. Zero data leaks, zero scanner warnings.\n\n### Core Security Guidelines:\n* **Mutations Disabled by Default:** Operations that modify persistent state are blocked out-of-the-box unless `ALLOW_MUTATIONS=true` is explicitly set.\n* **Input Validation:** Always validate `HEADERS` and `SCHEMA` inputs in production environments.\n* **Transport Credentials:** Use HTTPS endpoints and short-lived authorization tokens where possible.\n\n## Customize for your own server\nThis 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.\n\n---\n\n> **Note on Contributors**\n>\n> Claude Code was **not** used in this project. If you're curious how Claude ended up as a co-author via custom MCP architecture, feel free to ask!","readmeFilename":"README.md"}