# Agentic AI Foundation

**Canonical:** https://apis.io/providers/agentic-ai-foundation/  
**Website:** https://lfaidata.foundation/  
**APIs profiled:** 2

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.

## Kin Score — 21.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 21.7).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 11.3 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 19.0 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (2)

- **Model Context Protocol (MCP)** — 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...
- **Goose AI Agent** — 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+ MC...

## Security (1)

- **Agentic Ai Foundation Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Agentic Ai Foundation Plans Pricing**

## Use cases (4)

- **Interoperable AI Tool Development** — Build MCP-compatible tools once and make them available to any AI agent or client that supports the MCP standard, eliminating integration silos.
- **Enterprise Agent Standardization** — Organizations adopt AAIF standards to ensure their AI agent infrastructure is portable, auditable, and not locked to a single AI vendor.
- **Multi-Agent Workflow Orchestration** — Use AAIF protocols to connect specialized AI agents that collaborate on complex tasks, each contributing domain-specific capabilities.
- **Open-Source Agent Development** — Developers build and extend open-source AI agents like goose using the AAIF ecosystem of standards and extensions.

## Tags

AI Agents, Linux Foundation, Open-Source, Standards, MCP, Agentic AI, Interoperability

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/agentic-ai-foundation/). Scores are computed from the provider's own public artifacts under a published rubric.