Opengraph IO MCP
Server Details
MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.7/5 across 9 of 9 tools scored. Lowest: 2.8/5.
Most tools have distinct purposes: generateImage creates images, exportImageAsset exports them, iterateImage refines them, and inspectImageSession inspects sessions. However, the four 'getOg' tools (getOgData, getOgExtract, getOgQuery, getOgScrapeData) overlap significantly in scraping/querying URLs, which could cause confusion about which to use for specific tasks.
The naming is mostly consistent with a verb_noun pattern (e.g., generateImage, exportImageAsset, iterateImage, inspectImageSession). The 'getOg' tools follow a similar pattern but use abbreviations ('Og' for OpenGraph), which is a minor deviation. Overall, the naming is predictable and readable.
With 9 tools, the count is well-scoped for the server's purpose of generating and managing images and scraping OpenGraph data. Each tool serves a clear function, and there is no bloat or obvious missing tools for the core workflows.
The toolset covers the image generation lifecycle well: generate, export, iterate, and inspect. It also includes OpenGraph data scraping tools. A minor gap is the lack of a tool to delete or manage sessions/assets, but agents can work around this by focusing on the provided operations.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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