Agentic AI Foundation (@AgenticAIFdn) on X (Twitter)

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Agentic AI Foundation is a creator on X (Twitter) in the 2K–3K follower range, publishing for AI developers and practitioners building agentic systems with open protocols like MCP, based in United States. Profile last checked 2026-07-03.

Observed facts (from the public profile):

Profile bio

AAIF is a neutral, open foundation ensuring AI capabilities evolve transparently and collaboratively, advancing adoption of leading open source AI projects.

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: Model Context Protocol (MCP), Agentic AI development, Open source AI projects, AI agent conferences

Audience: AI developers and practitioners building agentic systems with open protocols like MCP

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 3 recent posts · updated 76 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

Most APIs are built to stay fixed, designed carefully and rarely updated. That makes them a tough fit for fast-moving systems. The real strength of MCP is its flexibility by design. Systems shift every day. MCP gives…

If you're building with #AI agents, this is a talk you won't want to miss. @dsp_ (co-creator of the #ModelContextProtocol and Member of Technical Staff at @AnthropicAI) is joining the keynote lineup at #AGNTCon +…

🚨 FINAL HOURS 🚨 Early bird pricing for #AGNTCon + #MCPCon Europe ends TONIGHT at 23:59 CEST! Save over €500 on your ticket to join the open #AgenticAI community in Amsterdam (17–18 September)

Where this creator sits among comparable accounts

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Koinon Link indexes X (Twitter) creators in Software with grade, authenticity and contactability broken down — see the X (Twitter) × Software breakdown, or the Creator Index Report for the whole index.

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Machine-readable representations

Structured twins of this page for AI and agents — every inferred field carries its source, confidence and freshness.

• /kol/x/AgenticAIFdn.json
• /kol/x/AgenticAIFdn.md

AI retrieval activity

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