awesome-agentic-data-platforms
github.com/smbanaie/awesome-agentic-data-platforms ↗A curated collection of frameworks, tools, papers, standards, and skills for building agentic data platforms and empowering data engineering teams to use AI agents across the data lifecycle.
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🤖 Agent Frameworks🔌 Agent-Data Interfaces (MCP, Tools, Protocols)⏱️ Orchestration & Workflows (Durable Execution)🏝️ Sandboxing & Execution Isolation🌐 Communities & Learning Resources
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me tool calling standards resources from awesome-agentic-data-platforms"
Installation instructions →What's inside
🤖 Agent Frameworks
🔌 Agent-Data Interfaces (MCP, Tools, Protocols)
- Anthropic Tool UseTool Calling Standards
Structured tool calling
- JSON Schema for ToolsTool Calling Standards
Tool parameter validation
- mcp-server-duckdbModel Context Protocol (MCP)
DuckDB MCP server
- mcp-server-postgresModel Context Protocol (MCP)
PostgreSQL MCP server
- MCP ServersModel Context Protocol (MCP)
Official reference implementations
- mcp-server-sqliteModel Context Protocol (MCP)
SQLite MCP server
🌐 Communities & Learning Resources
- Apache Iceberg Deep DiveLearning Resources
Documentation
- Building LLM Agents (HuggingFace)Learning Resources
Course
- Dagster UniversityLearning Resources
Course
- MCP Specification WalkthroughLearning Resources
Guide
- Open Data Contract Standard DocsLearning Resources
Documentation
- Temporal Python SDK TutorialLearning Resources
Tutorial
⏱️ Orchestration & Workflows (Durable Execution)
🏝️ Sandboxing & Execution Isolation
- E2BLibraries
Hosted Firecracker sandboxes
- MontyLibraries
Fast Python runner
- PyodideLibraries
Python in browser/Wasm
- RestrictedPythonLibraries
Safe template rendering
- wasmtimeLibraries
Wasm runtime
Showing a sample of 29 resources. View the full list on GitHub →