PAELLADOC
Implements the Model Context Protocol to enable large language models to seamlessly interact with AI-first development tools, facilitating context-driven code creation, intent preservation, and human-AI collaborative workflows.
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Path where PAELLADOC will store its memory database
~/.paelladoc/memory.dbSecurity Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Implements the Model Context Protocol to enable Large Language Models to read from and write to Firebase Firestore collections via exposed MCP tools, facilitating seamless integration and data manipulation.
Added May 30, 2025
Enables large language models to seamlessly interact with Anki flashcard software via Model Context Protocol, offering comprehensive deck and note management, search, creation, updating, and deletion functionalities through AnkiConnect integration.
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Enables Large Language Models to seamlessly interact with Notion by exposing the full Notion API as Model Context Protocol tools for creating, reading, updating, and deleting pages via natural language commands.
Added May 30, 2025
Proof of concept MCP server built on Uber Eats enabling seamless integration between large language models and external tools using the Model Context Protocol for enhanced API-driven workflows.
Added May 30, 2025
A modern, extensible Model Context Protocol (MCP) server enabling programmatic, AI-driven creation, modification, and automation of GNURadio flowgraphs for scalable SDR workflow control and integration with Large Language Models and custom tools.
Added May 29, 2025