AI Developer Certificate

Directory / Linux Foundation / Agentic AI Foundation

Model Context Protocol Associate

A Linux Foundation multiple-choice exam on the Model Context Protocol: building, securing and governing tool connections for agents.

What it signals

Practical assessment: Scenario-based multiple choice (2 of 4) Practical assessment
Scenario-based multiple choice. Proctored multiple choice
Identity assurance: Proctored with identity verification (4 of 4) Identity assurance
Proctored with identity verification. Online proctored
Depth: Associate (2 of 4) Depth
Associate. Associate level.
Experience expected: Under 6 months (1 of 4) Experience expected
Under 6 months. Beginner level
Portability: Mostly transferable (3 of 4) Portability
Mostly transferable. Open protocol supported by multiple vendors, but a single technology
Verifiability: Public badge or registry (4 of 4) Verifiability
Public badge or registry. LF verification/badge

For hiring managers

  • Two weeks old at time of research; first certification from the Agentic AI Foundation. Duration conflict: press release says 120 minutes, certification page says 90. $250 includes one retake and 12-month eligibility.

Verifying it

Linux Foundation certification verification tool / LFX, Credly badge (standard LF practice; page mentions adding to LinkedIn, LFX, GitHub)

What it covers

Published exam outline

  • MCP Fundamentals 16%
  • Architecture & Components 14%
  • Interactions & Execution 26%
  • Security & Governance 24%
  • Use Cases & Ecosystem 20%

By topic

GenAI apps: Touched on (under 10%) (1 of 4) GenAI apps
Touched on (under 10%). LLM app context only
Agents: Core focus (over 35%) (4 of 4) Agents
Core focus (over 35%). Entire exam is the agent tool protocol
Classical ML: Not covered (0 of 4) Classical ML
Not covered. Not covered
Operations: Touched on (under 10%) (1 of 4) Operations
Touched on (under 10%). Deployment touched in use cases
Data: Not covered (0 of 4) Data
Not covered. Not covered
Responsible AI: Substantial (20 to 35%) (3 of 4) Responsible AI
Substantial (20 to 35%). Security & Governance 24%

Exam details

Who the provider says it is for. AI engineers, platform engineers, AI governance roles

Format
Multiple-choice
Delivery
Online proctored
Code or hands-on work
No hands-on; multiple choice (may require interpreting MCP server manifests)
Prerequisites
None
Recommended experience
Familiarity with JSON-RPC, LLM APIs, agentic AI concepts, basic security

Preparing

Not confirmed

These details were not available from an official source at the time of research.

  • Duration (90 vs 120 min)
  • Question count
  • Passing score
  • Renewal method
Sources (3)