use taskmaster-ai to create a project in current project folder for: `a python mcp server doing upload image to gemini to do ocr (image to text)`
remind for planning only, do not start coding yet.
# taskmaster-ai model suggest
```json
"models": {
"main": {
"provider": "openrouter",
"modelId": "anthropic/claude-sonnet-4",
},
"research": {
"provider": "google",
"modelId": "gemini-2.5-pro-preview-06-05",
},
"fallback": {
"provider": "google",
"modelId": "gemini-2.5-flash-preview-05-20",
}
}
```
---
# core logic
below provide bash example for your reference.
```
#config
GEMINI_MODEL=gemini-2.5-flash-preview-05-20
GEMINI_API_KEY=xxxxxxxxxxxx
IMAGE_MIME_TYPE="image/png" #hope able to auto detect in code (not hard coded)
#main logic
BASE64_IMAGE=$(base64 -w 0 "$IMAGE_FILE")
API_RESPONSE=$(curl -X POST \
https://generativelanguage.googleapis.com/v1beta/models/$GEMINI_MODEL:generateContent?key=$GEMINI_API_KEY \
--header "Content-Type: application/json" \
--data-raw '{
"contents": [
{
"parts": [
{
"text": "Please perform image OCR. Do not add any extra commentary, just the extracted text."
},
{
"inline_data": {
"mime_type": "$IMAGE_MIME_TYPE",
"data": "$BASE64_IMAGE"
}
}
]
}
]
}')
OCR_TEXT=$(echo "$API_RESPONSE" | jq -r '.candidates[0].content.parts[0].text')
echo -e "\n--- Extracted Text (OCR) ---"
echo "$OCR_TEXT"
echo "---------------------------"
```
---
# for MCP server
please follow the https://github.com/modelcontextprotocol/python-sdk (Python implementation of the Model Context Protocol (MCP))
use context7 to research the detail of [mcp\[cli\]](https://github.com/modelcontextprotocol/python-sdk)
[what is needed for python mcp server.](https://github.com/modelcontextprotocol/python-sdk?tab=readme-ov-file#quickstart)
example code:
```python
# server.py
from mcp.server.fastmcp import FastMCP
# Create an MCP server
mcp = FastMCP("Demo")
# Add an addition tool
@mcp.tool()
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
# Add a dynamic greeting resource
@mcp.resource("greeting://{name}")
def get_greeting(name: str) -> str:
"""Get a personalized greeting"""
return f"Hello, {name}!"
```
---
# gor gemini library
use content7 to research the detail of [google-genai](https://github.com/googleapis/python-genai)
`google-generativeai` is Deprecated. don't use `google-generativeai`
