MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
The fast, Pythonic way to build MCP servers and clients. Runs locally from the fastmcp Python package. Needs 1 environment variable to run.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
Awesome AI Apps is a collection of 132 projects, tutorials, and recipes for building applications powered by large language models. Developers use it to explore text and voice agents, retrieval-augmented generation, workflows, MCP tools, memory, and fine-tuning.
▶ Treating AI Agents Like Distributed Systems using AgentField Shivay Lamba · about Arindam200/awesome-ai-apps · on YouTube → MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
The fast, Pythonic way to build MCP servers and clients. Runs locally from the fastmcp Python package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
The fast, Pythonic way to build MCP servers and clients. Runs locally from the fastmcp Python package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
MCP server "okahu", hosted remotely at mcp.okahu.co, as configured in Arindam200/awesome-ai-apps.