OCR MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recognize_textB | 识别图片中的文字内容（OCR）。支持中文、英文等多种语言。支持 PNG、JPG、JPEG、BMP、GIF、WebP 格式。 |
| list_ocr_languagesB | 列出 OCR 支持的语言及其代码 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists supported languages, while the other performs OCR text recognition. There is no overlap in functionality, making it impossible to confuse them.
Both tools follow a consistent verb_noun pattern (list_ocr_languages, recognize_text) with clear, descriptive names that align well with their functions. No deviations or mixed conventions are present.
With only 2 tools, the server feels thin for an OCR domain, as it lacks operations like batch processing, format conversion, or configuration management. While the core OCR function is covered, the scope is minimal and may limit agent workflows.
The server covers basic OCR functionality (list languages and recognize text), but there are notable gaps such as no tools for image preprocessing, batch OCR, or error handling. It provides a starting point but lacks comprehensive coverage for advanced OCR tasks.