Text processing toolkit with 12 MCP tools for AI assistants - case transformation, encoding, hashing, text analysis, smart diff, and notes management
Text processing toolkit with 12 MCP tools for AI assistants - case transformation, encoding, hashing, text analysis, smart diff, and notes management
A desktop text "workbench" + MCP server: clean, transform, extract, and analyze text fast—manually in a GUI or programmatically from AI assistants (Cursor / Claude Desktop / MCP clients).
Python 3.8+ is required for all installation methods.
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{
"mcpServers": {
"pomera": {
"command": "pomera-ai-commander",
"timeout": 3600
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Python 3.8+ is required for all installation methods.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
An MCP server that exposes the python-bitcoinlib API
The `bbmd` cli should be the superior to MCP when used by AI agents.
A local MCP server to evaluate Pharo Smalltalk expressions and get system information via [NeoConsole](https://github.com/svenvc/NeoConsole).
That generates your local secret, writes the plugin to ~/.localfig/plugin/, registers localfig with every MCP client it finds on your machine, and prints the manifest path for the next step.…