How to Build a Personal Context Portfolio and MCP Server
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
4.7 • 762 Ratings
🗓️ 3 April 2026
⏱️ 25 minutes
🧾️ Download transcript
Summary
In today's Build episode, we tackle one of the most underappreciated friction points in the agentic era — the fact that every new agent, project, or tool requires you to re-explain yourself from scratch. We walk through how to create a personal context portfolio, a structured set of markdown files that acts as an operating manual for any AI you work with, and then how to deploy it as an MCP server so every agent can access it.
Use our app to get interviewed and build your personal context portfolio files: https://www.contextportfolio.ai/
DIY personal context portfolio templates: https://github.com/nlwhittemore/personal-context-portfolio
Brought to you by:
KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/Navigate
Mercury - Modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-banking
Recall - The API for meeting recording. Get Get started today with $100 in free credits at https://www.recall.ai/aidb
AIUC-1 - Get your agents certified to communicate trust to enterprise buyers - https://www.aiuc-1.com/
Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/
AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief
Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
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Transcript
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| 0:00.0 | In a world of agents, everything is about context, and today, we are going to help you build |
| 0:04.5 | your own personal context portfolio and MCP server. |
| 0:09.4 | The AI Daily Brief is a daily podcast and video about the most important news and discussions |
| 0:13.4 | in AI. |
| 0:18.1 | All right, friends, quick announcements before we dive in. |
| 0:37.6 | First of all, thank you to today's sponsors, KPMG, Blitzy, robots, and pencils, and super intelligent. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe at Apple Podcasts. If you are interested in sponsoring the show, send us a note at sponsors at AIDailydief.aI. |
| 0:55.3 | AIdailybrief.A.I is also where you will find out everything that is going on in the AIDB ecosystem and where, and this one is going to be relevant for today's, you can access the companion experiences, which are not for every single show, but are for many of them. you can find that at play.aidalybriefief.aI.aI. and everything that I'm sharing in this episode will be linked there. |
| 0:58.8 | Today we have another episode in our Buildweek series, and boy does this one cut to the heart |
| 1:03.9 | of building right now. We officially live in the agentic era, and agents, as we know, need |
| 1:10.1 | context to do their jobs well. And yet, context is one of |
| 1:14.5 | those things that is very simple to articulate and much harder to actually organize in a way that is |
| 1:19.4 | useful. Now, this is obviously a big problem in the context of organizations. Michael Chen from |
| 1:25.4 | Applied Comput recently dropped an article on X, called |
| 1:28.5 | What to Expect when you're deploying AI in the enterprise. He writes at Applied Comput, |
| 1:32.6 | we spent the past six months embedding inside companies to deploy AI into production workflows, |
| 1:37.1 | i.e. actually sitting in their offices, filing tickets, reading Confluence pages, |
| 1:41.4 | fighting for access to data, and shipping agents into production |
| 1:44.2 | that improve over time. There is surprisingly little written about working with large organizations |
| 1:48.2 | in the age of AI, so this is our attempt to fill that gap. And big and blaring right at the front |
| 1:54.3 | is one, data ready is just a state of mind. The gap between we have data and we have data in a |
| 2:00.0 | format that an AI system can learn from |
| 2:01.8 | is enormous. It surprises everyone, even teams that have already wrangled internal data for |
... |
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