feat: Add native image and binary file support#1
Open
libertyteeth wants to merge 1 commit into
Open
Conversation
- Add magic number detection for common image formats (PNG, JPEG, GIF, BMP, WEBP, HEIC) - Return ImageContent for images to enable direct LLM processing - Add proper MIME type detection using both magic numbers and extensions - Support binary file handling with appropriate metadata - Maintain backward compatibility for text files This allows LLMs to directly analyze images through the MCP protocol without manual base64 encoding/decoding.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
This PR adds native support for reading image and binary files through the MCP protocol.
Changes
get_file_type()function for magic number detectionImageContentfor direct LLM processingMotivation
Currently, the filesystem MCP server only handles text files. With the rise of multimodal LLMs that can process images, it's valuable to support native image reading through the MCP protocol.
Testing
Technical Details
Example Usage
After this change, LLMs can directly process images:
Compatibility