image-processing
Server Details
Image processing for AI agents. Resize, convert, compress, and pipeline images.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
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
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
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 3.5/5 across 7 of 7 tools scored.
Each tool has a clearly distinct purpose with no significant overlap: analyze_image provides metadata, compress_image reduces file size, convert_image changes format, crop_image extracts regions, get_format_info lists capabilities, image_pipeline chains operations, and resize_image scales dimensions. The descriptions clearly differentiate these functions, making tool selection straightforward for an agent.
All tools follow a consistent verb_noun pattern with snake_case naming (e.g., analyze_image, compress_image, convert_image). This uniformity makes the tool set predictable and easy to understand, with no deviations in style or convention throughout the list.
With 7 tools, this server is well-scoped for image processing, covering core operations like analysis, compression, conversion, cropping, resizing, and pipelining, plus a utility for format info. Each tool serves a specific, non-redundant function, making the count appropriate and efficient for the domain.
The tool set covers most essential image processing operations, including metadata retrieval, format conversion, compression, cropping, resizing, and chaining via a pipeline. A minor gap is the lack of tools for advanced manipulations like filters, rotations, or overlays, but agents can work around this using the existing tools, especially image_pipeline, for basic workflows.
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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