Inchat Image Viewer MCP
I

Inchat Image Viewer MCP

InChat Image Viewer MCP is a tool that solves the problem that GitHub Copilot Chat cannot directly read image file paths. Through the MCP server, the AI can automatically view the image paths provided by the user and display the image content without manually dragging attachments.
2 points
5.7K

What is InChat Image Viewer MCP?

InChat Image Viewer MCP is a Model Context Protocol server specifically designed to solve the problem that AI assistants (such as GitHub Copilot Chat and Claude Desktop) cannot view images via plain text file paths. It allows you to simply enter the image file path, and the AI can automatically load and view the image content without manually dragging the file.

How to use InChat Image Viewer MCP?

After installation and configuration, use the #image - viewer prefix followed by the image file path in the AI chat interface, and the AI will automatically call the tool to view the image. For example: #image - viewer C:\screenshots\bug.png

Applicable scenarios

Suitable for scenarios where AI is required to analyze image content, such as debugging error screenshots, analyzing test result images, comparing screenshots of different versions, and interpreting chart data. It is especially suitable for developers, testers, and users who need to frequently share images for analysis.

Main features

Path to image
Directly convert the text file path into an image that the AI can view without manual dragging operations.
Multi - format support
Supports multiple common image formats such as PNG, JPEG, GIF, BMP, and WebP.
Zero - configuration startup
It can be directly run using npx without a complex installation and configuration process.
Cross - platform compatibility
Supports multiple AI tools such as VS Code Copilot Chat and Claude Desktop.
Automatic image detection
The AI automatically recognizes the #image - viewer prefix and calls the corresponding tool to view the image.
Advantages
🚀 Workflow optimization: No need to interrupt the workflow to manually drag images.
💬 Natural conversation: Enter the path directly in the chat, as natural as having a conversation with a person.
⚡ Quick response: The AI immediately obtains the image data without waiting for upload.
🔧 Simple integration: Can be added to existing AI tools with simple configuration.
🔄 Batch processing: Multiple image files can be analyzed at once.
Limitations
📁 Local files only: Currently only supports local file system paths and does not support network URLs.
🔒 Permission restrictions: The AI tool needs permission to access the specified file path.
💾 File size: Very large image files may load slowly.
🛠️ Dependent on MCP: Requires the AI tool to support the Model Context Protocol.

How to use

Install the MCP server
Install globally via npm or run directly using npx (npx is recommended, no installation required).
Configure the AI tool
Add the MCP server configuration in VS Code Copilot Chat or Claude Desktop.
Restart the application
Restart VS Code or Claude Desktop to load the MCP server.
Start using
Use the #image - viewer prefix followed by the image path in the chat.

Usage cases

Error debugging analysis
Encounter an error during development and need the AI to analyze the error screenshot to provide a solution.
Test result comparison
Testers need to compare the interface changes before and after the test.
Data chart interpretation
Non - technical personnel need to understand complex data charts.
UI design feedback
Designers need the AI to provide feedback on the interface design.

Frequently Asked Questions

Which AI platforms does this tool support?
Why is the #image - viewer prefix required?
Does it support network images or images in cloud storage?
Is there a limit on the image size?
How to ensure the security of the file path?
Can the configuration be shared within the team?

Related resources

GitHub repository
Source code, issue feedback, and latest updates
Model Context Protocol documentation
Understand the technical details and specifications of the MCP protocol
VS Code Copilot Chat documentation
Official usage guide for GitHub Copilot Chat
Claude Desktop configuration guide
Installation and configuration instructions for Claude Desktop

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "image-viewer": {
      "command": "npx",
      "args": ["inchat-image-viewer-mcp"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.2K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase