$ Explore the latest AI assistants, APIs, and Agentic Frameworks that are transforming the developers world. Whether you're a pro coder or just starting out, our curated list has something for everyone.

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~/ai-directory$ ls
<desc>

Command-line interface tools for managing and interacting with AI models and services.

</desc>

mcp-clients/ ls -la | more

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Python Ollama

Enables interaction with multiple MCP servers using Docker containers, integrating SQLite, PostgreSQL, and a fetch tool for natural language-driven tasks via the OpenAI API.
๐Ÿ”— VISIT
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QGIS

Enables interaction with QGIS geographic information systems for managing projects, layers, and maps through a plugin-based architecture with tools for spatial data manipulation and map rendering
๐Ÿ”— VISIT
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Quarkus Agentic Assistant

Quarkus-based agentic application that leverages LangChain4j to integrate Brave Search, Google Maps, Slack, and filesystem operations for performing complex tasks like finding restaurants, providing directions, and managing calendars.
๐Ÿ”— VISIT
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Rails Example

Demonstrates MCP in a Rails application.
๐Ÿ”— VISIT
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Raycast AI

Raycast extension that enables seamless integration of Model Context Protocol servers into the Raycast AI environment, providing automatic client creation and detection with minimal configuration.
๐Ÿ”— VISIT