EraseText MCP Server
Provides access to EraseText's AI text removal for images, enabling erasing text from photos and retrieving account details.
README
EraseText API
Official docs, OpenAPI spec, Python SDK, and agent tools for EraseText — a specialised AI text remover for photos and graphics. It erases lettering and the glow, stroke, and shadow that came with it, then rebuilds the plate underneath.
This repository is the public developer surface. The product itself lives at erasetext.com. Canonical HTTP docs: erasetext.com/docs/api.
Try it
- Editor (free to erase; full-res download uses credits): erasetext.com/upload
- HTTP API:
https://api.erasetext.com/v1 - MCP:
https://api.erasetext.com/mcp - First API key includes a 50-credit trial, no card.
Create a key under Account → Developer.
curl -X POST \
-H "X-Api-Key: et_…" \
-F "image_file=@photo.jpg" \
"https://api.erasetext.com/v1/erase" \
-o out.webp
Omit the mask to detect and erase all text. White pixels (channel >127) in a mask mark what to erase.
Python SDK
pip install erasetext
# optional agent extras
pip install 'erasetext[langchain]'
pip install 'erasetext[llamaindex]'
from erasetext import EraseText
client = EraseText() # reads ERASETEXT_API_KEY
image = client.erase(image_path="photo.jpg")
Path("out.webp").write_bytes(image)
erase() spends 1 credit on success. Failures and account() are free.
Do not send size or engine — both are retired and return 400.
MCP
Remote Streamable HTTP. Same key, same billing as the HTTP API.
{
"mcpServers": {
"erasetext": {
"url": "https://api.erasetext.com/mcp",
"headers": { "X-Api-Key": "et_…" }
}
}
}
Tools: erase_text (1 credit on success), get_account (free).
- Manifest: https://api.erasetext.com/.well-known/mcp.json
- Docs: https://erasetext.com/docs/api/#mcp
- Registry file in this repo:
server.json
LangChain
from erasetext.langchain import EraseTextToolkit
tools = EraseTextToolkit().get_tools()
# tools: erase_text, get_erasetext_account
Requires pip install 'erasetext[langchain]'.
LlamaIndex
from erasetext.llamaindex import EraseTextToolSpec
tools = EraseTextToolSpec().to_tool_list()
Requires pip install 'erasetext[llamaindex]'.
Specs
| File | What |
|---|---|
openapi.json |
HTTP OpenAPI 3.1 |
server.json |
MCP Registry record (remote Streamable HTTP) |
| https://erasetext.com/llms.txt | Machine-readable product + API summary |
| https://erasetext.com/openapi.json | Same spec, hosted next to the product |
Links
- Product: https://erasetext.com
- API docs: https://erasetext.com/docs/api/
- Developers / prepaid credits: https://erasetext.com/g/developers/
- Help: https://erasetext.com/help/
- Terms: https://erasetext.com/legal/terms/
Operated by Morling, LLC. The SDK and specs in this repository are MIT; the hosted erase service is a commercial product.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。