Agentic AI Foundation

aid: agentic-ai-foundation
name: Agentic AI Foundation
description: The Agentic AI Foundation (AAIF) is a Linux Foundation project formed in December 2025 that brings together critical open standards and projects for AI agents under neutral governance. It
  hosts Anthropic's Model Context Protocol (MCP), Block's goose AI agent, and OpenAI's AGENTS.md to enable interoperable, open AI agent ecosystems. The foundation drives standardization of agent 
  communication protocols, tool interfaces, and cross-platform agent portability.
url: https://raw.githubusercontent.com/api-evangelist/agentic-ai-foundation/refs/heads/main/apis.yml
humanURL: https://lfaidata.foundation/
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AI Agents
- Linux Foundation
- Open Source
- Standards
- MCP
- Agentic AI
- Interoperability
created: '2026-03-16'
modified: '2026-04-19'
specificationVersion: '0.19'
apis:
- aid: agentic-ai-foundation:model-context-protocol
  name: Model Context Protocol (MCP)
  description: The Model Context Protocol (MCP) is an open-source standard for connecting AI applications to external systems including data sources, tools, and workflows. Originally developed by 
    Anthropic and donated to the Agentic AI Foundation, MCP enables agents to discover and invoke tools, access resources, and use reusable prompt templates through a standardized protocol.
  humanURL: https://modelcontextprotocol.io/introduction
  tags:
  - MCP
  - Model Context Protocol
  - Open Standard
  - Tool Use
  - AI Agents
  properties:
  - type: Documentation
    url: https://modelcontextprotocol.io/introduction
  - type: GettingStarted
    url: https://modelcontextprotocol.io/docs/develop/build-server
  - type: GitHubRepository
    url: https://github.com/modelcontextprotocol/specification
- aid: agentic-ai-foundation:goose
  name: Goose AI Agent
  description: Goose is a general-purpose, open-source AI agent that runs locally on your machine. Originally from Block and now under AAIF governance, goose supports 15+ LLM providers, 70+ MCP 
    extensions, and provides a native desktop app, CLI, and API. Built in Rust for cross-platform portability across macOS, Linux, and Windows.
  humanURL: https://github.com/block/goose
  tags:
  - AI Agent
  - Open Source
  - MCP
  - CLI
  - Desktop App
  - Rust
  properties:
  - type: Documentation
    url: https://block.github.io/goose/
  - type: GitHubRepository
    url: https://github.com/block/goose
common:
- type: GitHubOrganization
  url: https://github.com/agentic-ai-foundation
- type: Portal
  url: https://lfaidata.foundation/
- type: Documentation
  url: https://modelcontextprotocol.io/introduction
- type: Features
  data:
  - name: Neutral Open Governance
    description: All AAIF projects operate under Linux Foundation neutral governance, ensuring no single vendor controls the direction of AI agent standards.
  - name: Model Context Protocol (MCP)
    description: MCP is a universal adapter standard enabling AI agents to connect to any external tool, data source, or workflow through a consistent protocol.
  - name: Cross-Platform Agent Portability
    description: AAIF standards enable AI agents to run consistently across different platforms, environments, and LLM providers without vendor lock-in.
  - name: Tool and Extension Ecosystem
    description: The MCP standard enables a rich ecosystem of 70+ tools and extensions that any compliant agent can discover and invoke.
  - name: Multi-LLM Provider Support
    description: AAIF projects support 15+ LLM providers including Anthropic, OpenAI, Google, Azure, and Ollama through standardized provider interfaces.
  - name: Open Agent Communication
    description: The Agent Communication Protocol (ACP) enables agents to authenticate and communicate with each other and LLM providers through open standards.
- type: UseCases
  data:
  - name: Interoperable AI Tool Development
    description: Build MCP-compatible tools once and make them available to any AI agent or client that supports the MCP standard, eliminating integration silos.
  - name: Enterprise Agent Standardization
    description: Organizations adopt AAIF standards to ensure their AI agent infrastructure is portable, auditable, and not locked to a single AI vendor.
  - name: Multi-Agent Workflow Orchestration
    description: Use AAIF protocols to connect specialized AI agents that collaborate on complex tasks, each contributing domain-specific capabilities.
  - name: Open-Source Agent Development
    description: Developers build and extend open-source AI agents like goose using the AAIF ecosystem of standards and extensions.
- type: Integrations
  data:
  - name: Claude (Anthropic)
    description: Native MCP support via the Anthropic Messages API, the originating implementation of the MCP standard.
  - name: ChatGPT (OpenAI)
    description: MCP tool integration via the OpenAI Responses API, enabling ChatGPT to invoke MCP-compatible tools.
  - name: VS Code
    description: GitHub Copilot in VS Code supports MCP servers for AI-assisted development through the AAIF MCP standard.
  - name: Cursor
    description: Cursor IDE integrates MCP tool support for AI-assisted coding agents.
  - name: Linux Foundation
    description: AAIF operates under Linux Foundation governance alongside related projects in the LF AI & Data portfolio.
maintainers:
- FN: Kin Lane
  email: [email protected]