Model Context Protocol, every mention
19 scenes (said by Shawn Wang), the whole family · ← back to Model Context Protocol
every year anyone Alessio Fanelli 118Shawn Wang 85Saoud (Saud) Rizwan 37David Soria Parra 31Nick Cooper / Brad 13Rohit Agarwal 10Antonio Scandurra 10Walden Yan 9Soham Ganatra 9Nina Lopatina 8
Verbatim, from the transcripts: the passages where Model Context Protocol comes up
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 9:37 Shawn Wang And MCP is just another form of tool, right?
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
- ▶ 50:45 Shawn Wang I do think that just relying on, like, just-in-time pulling of data for, let's say, via MCP, CLI, API, whatever you, whatever you do, still not enough. 2 times in the scene
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 44:31 Shawn Wang I'm just kind of going through like the mental list of things that are in your favor, which is for example, MCP versus CLI. 2 times in the scene
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 41:11 Shawn Wang Talking about integrations, you prompted me, so I got to ask MCP, CLI, what's going on? 8 times in the scene
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 0:17 Shawn Wang Uh, welcome back, David from Anthropic slash MCP. 7 times in the scene
- ▶ 6:43 Shawn Wang Uh, so we're going to meet some of the others later, but maybe we'll just focus back on the sort of MCP development. 8 times in the scene
- ▶ 23:36 Shawn Wang Well, I think a lot of people are trying to place MCP versus skills. 6 times in the scene
- ▶ 27:00 Shawn Wang Actually, I think nobody understands, uh, enough how much anthropic dog foods MCP. 17 times in the scene
- ▶ 1:01:09 Shawn Wang Um, but a lot of people are anxious about joining, MCP joining the Linux foundation. 4 times in the scene
⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex
- ▶ 23:27 Shawn Wang Uh, the last time we were here in New York, MCP was kind of just taking off, and we did the workshop, and that really blew up, uh, MCP. 12 times in the scene
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 1:08:52 Shawn Wang Like, uh, and you know, speaking of Anthropic and like things that happened this year, MCP happened this year. 2 times in the scene
Cline: The Collaborative AI Coder
- ▶ 1:01:26 Shawn Wang And, and I go, you know, I think interplay between MCP and your system client, you know, recommended prompts, I think is what is ultimately making a good agent.
Claude Code: Anthropic's CLI Agent
- ▶ 4:52 Shawn Wang Yeah, I imagine, so like we're putting out the MCP episode this week, and I imagine MCP also now has a team around it in much the same way. 2 times in the scene
- ▶ 1:12:09 Shawn Wang The Cloud MCP, blah, blah, blah, like all that has to kind of stay the same unless you really have a strong reason to change it.
The #1 SWE-Bench Verified Agent
- ▶ 24:55 Shawn Wang As the resident MCP guy, I know you got, you have a MCP support. 5 times in the scene
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- ▶ 7:13 Shawn Wang Better tools with MCP and all that stuff. 2 times in the scene
- ▶ 19:37 Shawn Wang Uh, I think we want to move on to MCP, but I just want to like, just engineering advice.
The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI
- ▶ 58:41 Shawn Wang And maybe you use MCP. 2 times in the scene
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 1:04:07 Shawn Wang Uh, speaking of protocols, Anthropix model context protocol that they launched has a 300 line of code memory implementation. 2 times in the scene