opengraph-io-mcp
MCP ServerFreeMCP tool for opengraph.io
Capabilities6 decomposed
open graph metadata extraction from urls
Medium confidenceExtracts structured Open Graph metadata (title, description, image, type, URL) from web pages by parsing HTML meta tags. Implements HTTP client integration with opengraph.io API backend, handling redirects, timeouts, and malformed responses. Returns standardized JSON with fallback values when metadata is incomplete or missing.
Exposes opengraph.io as an MCP tool, enabling Claude and other LLM agents to fetch link metadata directly without custom HTTP client code. Uses MCP's standardized tool schema to abstract away API authentication and response parsing.
Simpler than building custom web scraping with cheerio/jsdom because it delegates parsing to opengraph.io's service; more reliable than regex-based meta tag extraction because it handles edge cases and JavaScript rendering.
website screenshot capture via mcp
Medium confidenceCaptures full-page or viewport screenshots of URLs by delegating to opengraph.io's screenshot service. Handles browser rendering, viewport sizing, and image encoding. Returns screenshot as base64-encoded image or URL reference, enabling visual inspection of web content within LLM context windows.
Integrates browser-based screenshot capture into MCP protocol, allowing LLM agents to request visual snapshots of URLs as first-class tools. Abstracts Puppeteer/Playwright complexity behind opengraph.io's managed service.
Easier than self-hosting Puppeteer because no browser process management needed; more cost-effective than per-request Playwright cloud services because opengraph.io batches rendering infrastructure.
mcp tool registration and schema binding
Medium confidenceRegisters opengraph.io capabilities as MCP tools with standardized JSON schema definitions. Implements tool discovery, parameter validation, and response marshaling according to MCP specification. Enables Claude and compatible LLM clients to discover and invoke opengraph.io functions through the MCP protocol without hardcoding API details.
Implements MCP tool protocol layer, translating between Claude's tool-calling interface and opengraph.io's REST API. Uses JSON schema validation to ensure type safety and parameter correctness before API calls.
More maintainable than custom Claude integration code because MCP provides standardized protocol; enables tool reuse across multiple LLM clients (Claude, Cursor, custom agents) without reimplementation.
structured data extraction from web content
Medium confidenceParses Open Graph and other metadata from HTML responses to extract structured fields (title, description, image URL, content type, domain). Implements field mapping and normalization to handle variations in meta tag naming conventions and missing values. Returns consistent JSON schema regardless of source page structure.
Delegates parsing to opengraph.io's server-side extraction, avoiding client-side HTML parsing complexity. Returns pre-normalized JSON, reducing post-processing burden in LLM pipelines.
More reliable than client-side cheerio/jsdom parsing because server-side extraction handles JavaScript rendering and edge cases; faster than LLM-based extraction because it uses deterministic parsing rules.
url validation and normalization before api calls
Medium confidenceValidates URL format, protocol, and accessibility before invoking opengraph.io API. Implements URL parsing, scheme validation (http/https), and optional DNS resolution checks. Prevents malformed requests and reduces API quota waste by filtering invalid inputs early.
Performs client-side URL validation before MCP tool invocation, reducing failed API calls and improving error messages. Uses Node.js built-in URL API for robust parsing.
Prevents wasted API calls compared to sending all URLs to opengraph.io; provides better error messages than raw API errors.
error handling and response normalization
Medium confidenceCatches API errors (timeouts, 404s, rate limits, malformed responses) and normalizes them into consistent error objects. Implements retry logic for transient failures and graceful degradation when partial data is available. Returns structured error responses that LLM clients can interpret and act upon.
Implements MCP-aware error handling that translates opengraph.io API errors into MCP error responses. Provides structured error codes that LLM clients can pattern-match on.
More maintainable than raw API error handling because errors are normalized; enables LLM agents to implement recovery strategies based on error type.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓LLM agents and Claude instances that need to understand web content metadata
- ✓Developers building link preview features in web applications
- ✓Teams integrating web scraping into MCP-based workflows
- ✓LLM agents performing web research or content analysis that benefits from visual context
- ✓Developers building screenshot-based testing or monitoring workflows
- ✓Teams using Claude for web automation that requires visual verification
- ✓Developers building MCP servers that wrap third-party APIs
- ✓Teams standardizing on MCP for LLM tool integration
Known Limitations
- ⚠Depends on opengraph.io API availability and rate limits — no built-in caching or local fallback
- ⚠Cannot extract metadata from JavaScript-rendered pages; only works with server-rendered HTML
- ⚠No support for custom Open Graph namespaces or proprietary metadata formats
- ⚠Requires network connectivity; no offline mode
- ⚠Screenshot quality and rendering depend on opengraph.io's browser environment — may differ from user's actual browser
- ⚠No control over viewport size, device emulation, or rendering engine
Requirements
Input / Output
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MCP tool for opengraph.io
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