OpenGraph MCP Server (og-mcp)

og‑mcp is a Model‑Context‑Protocol (MCP) server that makes every OpenGraph.io ( https://opengraph.io ) API endpoint available to AI agents (e.g. Anthropic Claude, Cursor, LangGraph) through the standard MCP interface.

Why? If you already use OpenGraph.io to unfurl links, scrape HTML, extract article text, or capture screenshots, you can now give the same capabilities to your autonomous agents without exposing raw API keys.

Global Installation

You can install this package globally via npm:

npm install -g opengraph-io-mcp

Related MCP server: crawl4ai-mcp

Quick Install

CLI Installer (Recommended)

The easiest way to configure OpenGraph MCP for any supported client:

# Interactive mode - guides you through setup
npx opengraph-io-mcp-install

# Direct mode - specify client and app ID
npx opengraph-io-mcp-install --client cursor --app-id YOUR_APP_ID

Supported clients: cursor, claude-desktop, windsurf, vscode, zed, jetbrains

Claude Desktop Extension

For Claude Desktop users, you can also download the .mcpb extension for one-click installation from the Releases page.

Authentication

The hosted MCP server supports two authentication methods:

Option 1 — OAuth 2.1 (recommended for hosted deployments)

OAuth lets you authorize access through your OpenGraph.io dashboard without copying API keys into config files. The MCP client handles the entire browser login flow automatically.

Supported by: MCP clients that implement the Authorization Code + PKCE flow (Cursor, Claude Desktop 0.10+, VS Code with the MCP extension).

When the client connects with no credentials, the server returns 401 with a WWW-Authenticate header pointing to:

GET /.well-known/oauth-protected-resource
→ { "authorization_servers": ["https://dashboard-api.opengraph.io"] }

The client then fetches the authorization server metadata and starts the PKCE flow, redirecting your browser to https://dashboard.opengraph.io/oauth/consent where you log in and choose which API key to authorize.

No client-side config needed — the client discovers everything automatically.

Option 2 — x-app-id header (legacy / local dev)

Pass your App ID as an HTTP header. Suitable for local dev, CI, or clients that do not support OAuth.

Replace YOUR_OPENGRAPH_APP_ID with your OpenGraph.io App ID.

Client Configuration

All configurations below use the hosted HTTPS transport. OAuth is the recommended approach for shared/production use; the x-app-id header config is provided as a fallback.

OAuth (no static config needed)

For clients that support OAuth discovery, simply point at the hosted URL with no headers — the server will request authorization automatically:

{
  "mcpServers": {
    "opengraph": {
      "url": "https://mcp.opengraph.io/mcp"
    }
  }
}

x-app-id fallback

If your client does not support OAuth, or you prefer static config:

Claude Desktop

Config location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "opengraph": {
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "YOUR_OPENGRAPH_APP_ID"
      }
    }
  }
}

Claude Code

One-command installation:

claude mcp add --transport http --header "x-app-id: YOUR_OPENGRAPH_APP_ID" opengraph https://mcp.opengraph.io/mcp

Cursor

Config location: ~/.cursor/mcp.json

{
  "mcpServers": {
    "opengraph": {
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "YOUR_OPENGRAPH_APP_ID"
      }
    }
  }
}

VS Code

Config location: .vscode/mcp.json (in your project directory)

VS Code supports input prompts for secure credential handling:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "opengraph-app-id",
      "description": "OpenGraph App ID",
      "password": true
    }
  ],
  "servers": {
    "opengraph": {
      "type": "http",
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "${input:opengraph-app-id}"
      }
    }
  }
}

Windsurf

Config location: ~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "opengraph": {
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "YOUR_OPENGRAPH_APP_ID"
      }
    }
  }
}

JetBrains AI Assistant

Add to your JetBrains AI Assistant MCP configuration:

{
  "mcpServers": {
    "opengraph": {
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "YOUR_OPENGRAPH_APP_ID"
      }
    }
  }
}

Zed

Config location: ~/.config/zed/settings.json

Note: Zed uses context_servers instead of mcpServers:

{
  "context_servers": {
    "opengraph": {
      "transport": "http",
      "url": "https://mcp.opengraph.io/mcp",
      "headers": {
        "x-app-id": "YOUR_OPENGRAPH_APP_ID"
      }
    }
  }
}

Available Tools

Two authentication tiers: Data and Image Generation tools work with either OAuth or a simple x-app-id API key — including the stdio transport and the Claude Desktop extension. Site Audit and Link Preview tools require OAuth (hosted HTTPS transport only), since they bill against your organization's Site Audit plan rather than a single API key.

OpenGraph.io Data Tools

All scraping/metadata tools default to the v3 API which enables auto_render, auto_proxy, and retry by default for higher success rates on complex pages. The query and extract tools use v1.1 (see notes).

Language detection: All tools send accept_lang: auto by default, which mirrors the request's Accept-Language header. Pass an explicit BCP 47 tag (e.g. en-US, fr) to override.

Site Audit & Link Preview Tools

Requires OAuth 2.1 (see Authentication) and an active Site Audit plan. These tools are only available over the hosted HTTPS transport — they are not available via the x-app-id header or the stdio/Claude Desktop extension, since they need your organization identity, not just an API key.

Image Generation Tools

Image Generation

The og-mcp server includes powerful AI-driven image generation capabilities, perfect for creating social media cards, architecture diagrams, icons, and more.

Generate Image

Create images from natural language prompts or diagram code.

Supported Image Types (kind):

• illustration - General-purpose AI-generated images

• diagram - Technical diagrams from Mermaid, D2, or Vega syntax

• icon - App icons and logos

• social-card - OG images optimized for social sharing

• qr-code - QR codes with optional styling

Preset Aspect Ratios:

• Social: og-image, twitter-card, twitter-post, linkedin-post, facebook-post, instagram-square, instagram-portrait, instagram-story, youtube-thumbnail

• Standard: wide, square, portrait

• Icons: icon-small, icon-medium, icon-large

Style Presets: github-dark, github-light, notion, vercel, linear, stripe, neon-cyber, pastel, minimal-mono, corporate, startup, documentation, technical

Diagram Templates: auth-flow, oauth2-flow, crud-api, microservices, ci-cd, gitflow, database-schema, state-machine, user-journey, cloud-architecture, system-context

Example Usage:

// Generate a social card
generateImage({
  prompt: "A modern tech startup hero image with abstract geometric shapes",
  kind: "social-card",
  aspectRatio: "og-image",
  stylePreset: "vercel",
  brandColors: ["#0070F3", "#000000"]
})

// Generate a diagram from Mermaid syntax
generateImage({
  prompt: "graph TD; A[User] --> B[API]; B --> C[Database]",
  kind: "diagram",
  diagramSyntax: "mermaid",
  stylePreset: "github-dark"
})

Iterate Image

Refine or modify an existing generated image.

Use cases:

• Edit specific parts: "change the background to blue"

• Apply style changes: "make it more minimalist"

• Fix issues: "remove the text", "make the icon larger"

• Crop to specific coordinates

Example:

iterateImage({
  sessionId: "uuid-from-generate",
  assetId: "uuid-from-generate",
  prompt: "Change the primary color to #0033A0 and add a subtle drop shadow"
})

Inspect Image Session

Review session details and find asset IDs for iteration.

Returns:

• Session metadata (creation time, name, status)

• List of all assets with prompts, toolchains, and status

• Parent-child relationships showing iteration history

Example:

inspectImageSession({
  sessionId: "uuid-from-generate"
})

Export Image Asset

Export a generated image asset by session and asset ID. Returns the image inline as base64 along with metadata (format, dimensions, size).

When running locally (stdio transport), you can optionally provide a destinationPath to save the image to disk. On hosted/HTTP transport, the path is ignored and the image is returned inline only.

Examples:

// Inline only (works everywhere)
exportImageAsset({
  sessionId: "uuid-from-generate",
  assetId: "uuid-from-generate"
})

// Save to disk (stdio/local only)
exportImageAsset({
  sessionId: "uuid-from-generate",
  assetId: "uuid-from-generate",
  destinationPath: "/Users/me/project/images/hero.png"
})

Guided Workflows (Prompts)

In addition to tools, the server exposes named prompts — pre-built, multi-step workflows that MCP clients can surface directly to users (e.g. as slash commands) or that agents can invoke by name for a more reliable result than freeform tool-calling.

How it works

Diagram generated with og-mcp's image generation tools

The og-mcp server acts as a bridge between AI clients (like Claude or other LLMs) and the OpenGraph.io API:

1. AI client makes a tool call to one of the available MCP functions

2. og-mcp server receives the request and formats it for the OpenGraph.io API

3. OpenGraph.io processes the request and returns data

4. og-mcp transforms the response into a format suitable for the AI client

5. AI client receives the structured data ready for use

This abstraction prevents exposing API keys directly to the AI while providing full access to OpenGraph.io capabilities.

Setup and Running

1. Clone this repository

2. Install dependencies:

   npm install

3. Build the TypeScript code:

   npm run build

4. Start the server:

   npm start

The server will run on port 3010 by default (configurable via PORT environment variable).

Configuration

OAuth 2.1 (hosted HTTP server)

When running the Streamable HTTP server (npm start), set these env vars:

# Required: URL of the apifur-api JWKS endpoint
OAUTH_JWKS_URL=https://dashboard-api.opengraph.io/oauth/jwks.json

# Optional: Issuer string to validate in bearer tokens (defaults to OAUTH_ISSUER)
OAUTH_ISSUER=https://dashboard-api.opengraph.io

# Optional: Expected audience claim (default: https://mcp.opengraph.io/mcp)
OAUTH_AUDIENCE=https://mcp.opengraph.io/mcp

# Optional: Override the canonical MCP resource URL returned in 401 headers
MCP_RESOURCE_URL=https://mcp.opengraph.io/mcp

When OAUTH_JWKS_URL is not set, bearer-token verification is disabled and only the x-app-id fallback is active.

x-app-id fallback / local dev

Omit the OAuth env vars and use a static App ID instead:

OPENGRAPH_APP_ID=your_app_id_here
# or
APP_ID=your_app_id_here

This also works as the fallback for any HTTP request that includes an x-app-id header.

Stdio transport

For command-line usage pass the App ID directly:

opengraph-io-mcp --app-id YOUR_APP_ID

Transport Options

Stdio Transport (Recommended)

For command-line usage and npm global installation, the server can be run with stdio transport:

npm run start:stdio

You can pass the OpenGraph API key directly via command-line argument:

npm run start:stdio -- --app-id YOUR_APP_ID

When installed globally:

opengraph-io-mcp --app-id YOUR_APP_ID

This mode allows the server to be invoked directly by other applications that use MCP.

HTTP/SSE Transport

This method runs a web server that can be accessed over HTTP and uses SSE for streaming:

npm start

Troubleshooting

• If tools aren't showing up, check that the server is running and the URL is correctly configured in Cursor

• Check the server logs for any connection or authorization issues

• Verify that Claude has been instructed to use the specific tools by name