MCP低风险未认领
ClicheFactory Document Intelligence
Extract structured JSON from PDFs, images, DOCX, XLSX, CSV, EML attachments, and DSPy pipelines.
ClicheFactoryclichefactory/clichefactory-mcp
server.json
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.ClicheFactory/clichefactory-mcp",
"description": "Extract structured JSON from PDFs, images, DOCX, XLSX, CSV, EML attachments, and DSPy pipelines.",
"title": "ClicheFactory Document Intelligence",
"repository": {
"url": "https://github.com/ClicheFactory/clichefactory-mcp",
"source": "github"
},
"version": "0.1.8",
"websiteUrl": "https://clichefactory.com",
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "clichefactory-mcp",
"version": "0.1.8",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "ClicheFactory API key for service mode.",
"isSecret": true,
"name": "CLICHEFACTORY_API_KEY"
},
{
"description": "Optional ClicheFactory API base URL override.",
"name": "CLICHEFACTORY_API_URL"
},
{
"description": "Model name for local mode, for example gemini/gemini-3-flash-preview.",
"name": "LLM_MODEL_NAME"
},
{
"description": "LLM provider API key for local mode.",
"isSecret": true,
"name": "LLM_API_KEY"
},
{
"description": "Optional OCR/VLM model override.",
"name": "OCR_MODEL_NAME"
},
{
"description": "Optional OCR/VLM provider API key.",
"isSecret": true,
"name": "OCR_API_KEY"
}
]
}
]
}权限
声明检测
运行代码—
python安装—
pypi:clichefactory-mcp@0.1.8安装时运行脚本—无
网络无无
需要的凭据
CLICHEFACTORY_API_KEYLLM_API_KEYOCR_API_KEYCLICHEFACTORY_API_KEYLLM_API_KEYOCR_API_KEY工作区外的路径—无
智能体工具—无
检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
版本
- #10.1.8最新2026年10月7日
ClicheFactory Document Intelligence在 Codeg 中打开