pomera

@matbanik/pomera

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0 Stars 3 次浏览 matbanik 更新于 2026-08-23

Desktop text workbench + MCP server: 22+ text processing tools for AI assistants

开发者工具

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "pomera-ai-commander": {
      "args": [
        "pomera-ai-commander@1.3.8"
      ],
      "command": "npx"
    }
  }
}

可用工具（5 个）

该服务在 MCP 协议中暴露的工具，AI 可按需调用

tavily_search 14 个参数需填 1 项 Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数：query

tavily_extract 6 个参数需填 1 项 Extract content from URLs. Returns raw page content in markdown or text format.

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数：urls

tavily_crawl 11 个参数需填 1 项 Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数：url

tavily_map 8 个参数需填 1 项 Map a website's structure. Returns a list of URLs found starting from the base URL.

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数：url

tavily_research 2 个参数需填 1 项 Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数：input

服务介绍

Pomera AI Commander (PAC)

A desktop text "workbench" + MCP server: clean, transform, extract, and analyze text fast鈥攎anually in a GUI or programmatically from AI assistants (Cursor / Claude Desktop / MCP clients).

Stop pasting text into 10 random websites. Pomera (GUI + MCP) - do web searches with MCP and save your work as Pomera Notes in case of text corruption in IDE! Your search API keys are stored encrypted in local database instead of JSON config file.

馃搳 Why AI needs Pomera! - Pomera's MCP tools reduce token usage upto 70-80% for deterministic operations.

Download latest release 路 Docs: Tools 路 MCP Guide 路 CrewAI Integration 路 Troubleshooting

60-second demo (what to expect)

Best-for workflows

Cleaning pasted logs / PDFs (whitespace, wrapping, stats)
Extracting emails/URLs/IDs via regex
Normalizing case, sorting, columns
Hashing/encoding utilities
Letting Cursor/Claude call these as MCP tools in a repeatable pipeline

Prerequisites

Python 3.8+ is required for all installation methods.

macOS (Homebrew)

# Tkinter support (replace @3.14 with your Python version)
brew install python-tk@3.14
pip3 install requests reportlab python-docx

Ubuntu/Debian

sudo apt-get install python3-tk
pip3 install requests reportlab python-docx

Windows

Tkinter is included with Python from python.org.

pip install requests reportlab python-docx

Note: For PEP 668 protected environments, use pip3 install --user or a virtual environment.

Install / Run

Option A 鈥� Prebuilt executable (recommended)

Download from Releases and run.

Option B 鈥� Python (PyPI)

pip install pomera-ai-commander
# then run:
pomera-ai-commander --help

Option C 鈥� Node.js (npm)

npm install -g pomera-ai-commander
# then run:
pomera-mcp --help

Create Desktop Shortcut

After installing via pip or npm, create a desktop shortcut for quick access:

# For pip install:
pomera-create-shortcut

# For npm install (from package directory):
python create_shortcut.py

MCP Server for AI Assistants

Pomera exposes 22 text processing tools via MCP. Configure your AI assistant:

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "pomera": {
      "command": "pomera-ai-commander"
    }
  }
}

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "pomera": {
      "command": "pomera-ai-commander"
    }
  }
}

馃挕 Tip: If the simple command doesn't work, use the full path. Find it with:
# For npm install:
npm root -g
# Then use: <result>/pomera-ai-commander/pomera_mcp_server.py

# For pip install:
pip show pomera-ai-commander | grep Location

See the full MCP Server Guide for Antigravity, executable configs, and troubleshooting.

License

MIT License - see LICENSE for details.

查看源码项目主页