# MCP Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/mcp?page=5
> Markdown URL: https://aitinkerers.org/technologies/mcp.md?page=5
> Technology record last updated: 2026-09-18T15:14:00Z
> Generated: 2026-09-23T07:38:17Z

MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.

The Model Context Protocol (MCP) functions as a standardized integration layer: think of it as a USB-C port for AI applications. Developed and open-sourced by Anthropic, this protocol allows large language models (LLMs) to access real-time context and execute actions via external tools like GitHub, Jira, or proprietary databases . It uses a simple JSON-RPC interface to define tools, schemas, and endpoints, which enables AI agents to perform complex, state-changing tasks—such as creating a GitHub issue or running a test script—rather than just generating text . MCP is essential for building agentic AI systems that can autonomously pursue goals and operate within defined safety and permission boundaries .

- Official technology site: https://modelcontextprotocol.io/
- Public AI Tinkerers demos and talks: 129
- Result page: 5 of 6

## Recent Public Talks and Demos

### [A2A<>AG-UI<>MCP](https://sf.aitinkerers.org/talks/rsvp_1Sxrp1U1rbo)

Demo which highlights how all three protocols can be connected

- Event context: Protocol Demo Night at WorkOS (MCP, A2A, AG-UI) — 2025-10-10 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_1Sxrp1U1rbo

### [Smithery Playground: Build and Test Your MCP](https://singapore.aitinkerers.org/talks/rsvp_ipssibj6TGY)

We're showcasing how you can quickly build and test your MCP on Smithery Playground.

- Event context: AIT Singapore - AI Agents Showcase - 7th Oct 2025 — 2025-10-07 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_ipssibj6TGY

### [AutoLearn-What happens when we make Agents deterministic](https://seattle.aitinkerers.org/talks/rsvp_qsVCSui3bOE)

AI agent reasoning loops are expensive and fail often (5%+). What if we could move those conditions off of the transformer and into deterministic code, automatically?

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — October 6, 2025 — 2025-10-07 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_qsVCSui3bOE

### [Payment integration for AI Agents](https://nairobi.aitinkerers.org/talks/rsvp_UOJ69Bqzh-s)

I will be showcasing a framework to help developers building ai agent easily integrate payment into their workflow

- Event context: AI Tinkerers Nairobi – Sep 25, 2025 Meetup — 2025-09-25 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_UOJ69Bqzh-s

### [AG-UI Realtime](https://sf.aitinkerers.org/talks/rsvp_UedIHgvMzks)

AG-UI + gpt-realtime, integrated with CopilotKit, with some MCP thrown in for good measure.

- Event context: AI Infra Jam: Demos That Weren’t Possible Two Months Ago — 2025-09-25 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_UedIHgvMzks

### [Building Agentic System using Solace Agent Mesh](https://montreal.aitinkerers.org/talks/rsvp_58hiVWm95DQ)

What's Solace Agent Mesh (SAM) and How to get started with it. Creating your own agents, adding gateway interfaces, installing plugins and running the system.

- Event context: AI Tinkerers Montreal – September 2025 Meetup — 2025-09-24 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_58hiVWm95DQ

### [Misc thoughts on docs in MCP](https://sf.aitinkerers.org/talks/rsvp_QCe2xz5yBPc)

How does one best bring docs into their coding workflows? Do you copy a long Markdown file and throw it in the repo? Do you use GitMCP or Context7? Do you build your own doc server or use something like Mintlify? I'm gonna go on a bit of a rant about what makes some great docs and how we can all build a better dev tools future.

- Event context: Coding Agents Stack Share — 2025-09-11 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_QCe2xz5yBPc

### [Fullstack Agents with the Vibe Coding Server](https://sf.aitinkerers.org/talks/rsvp_mDjnO--35R0)

We will show how to use a vibe coding server to code 3 fullstack agent apps in under 5 minutes. We will take 30 seconds to set up the Cursor environment with optimized MCP servers for different parts of the stack (LlamaIndex for the agent, CopilotKit for the frontend, Composio for tools). We will take audience requests for the use-case and UI style, and we will build 3 working fullstack agent apps in the remaining 4 minutes.

- Event context: Coding Agents Stack Share — 2025-09-11 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_mDjnO--35R0

### [An MCP Server for the BBC micro:bit](https://seattle.aitinkerers.org/talks/rsvp_5Cvg0c_6Rew)

The BBC micro:bit is a small but powerful device, designing for learning and creating with technology. Over 7 million of them have been produced, used by over 30 million students in 70+ countries. In this science fair demo, I'll be presenting an MCP (Model Context Protocol) server I've developed for the micro:bit. Using MCP with the micro:bit opens up new possibilities for students - enabling them to interact with the device through conversational LLMs, going beyond what they can do today with the standard MicroPython implementation.

- Event context: Summer on the Lake - August Tinkerers Meetup! (Demos, Food, Friends) — 2025-08-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_5Cvg0c_6Rew

### [The path from "vibe coding" to production AI infra](https://seattle.aitinkerers.org/talks/rsvp_WFJPEUtFRjY)

Use Claude Code in conjunction with the Raindrop platform to design, build, configure, test & deploy MCP servers and other AI infra. This is accomplished via custom a CLAUDE.md file that enforces a workflow that is internally rigid but easy to evolve. Current flow is Goal --> PRD --> Technical design --> Setup & Config --> Build (API, MCP servers etc) --> Validate --> Deploy --> Test. Flows may be adjusted for different scenarios, TDD for example. Teams of agents working independently on various aspects are another interesting next step.

- Event context: Summer on the Lake - August Tinkerers Meetup! (Demos, Food, Friends) — 2025-08-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_WFJPEUtFRjY

### [Lessons Learned Building CircleCI's first production agent](https://sf.aitinkerers.org/talks/rsvp_B0cEB9hQsbM)

CTO and co-founder at CircleCI

- Event context: AI HyperEngineering: Claude/Amp Maxxing, Background Agents, CI/CD — 2025-08-22 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_B0cEB9hQsbM

### [Uncovering the secrets of agentic tools with OpenTelemetry and elbow grease](https://seattle.aitinkerers.org/talks/rsvp_72zSwY1ZmVE)

I'll demonstrate my project Shinzo, the first open, composable analytics solution for Model Context Protocol (MCP) servers. The demo will show how I used OpenTelemetry semantic conventions and instrumentation techniques to build a one-line auto-instrumentation solution for MCP servers (in Typescript). Tinkerers will get a clear view into OpenTelemetry concepts, instrumentation methods, and data sanitization procedures for MCP and other agentic AI software.

- Event context: Building AI Agents with Google Cloud AI — 2025-07-25 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_72zSwY1ZmVE

### [​Agentic understanding of large codebases](https://vancouver.aitinkerers.org/talks/rsvp_tvER5ildlm0)

Sourcebot is the open source code intelligence platform. We're using flagship agents to help developers ask questions against large diverse codebases.

- Event context: AI Tinkerers Vancouver - July 8th hosted by ScalePad — 2025-07-09 — Vancouver
- Public talk page: https://vancouver.aitinkerers.org/talks/rsvp_tvER5ildlm0

### [​Agentic understanding of large codebases](https://vancouver.aitinkerers.org/talks/rsvp_HMla5T2nXdc)

Sourcebot is the open source code intelligence platform. We're using flagship agents to help developers ask questions against large diverse codebases.

- Event context: AI Tinkerers Vancouver - July 8th hosted by ScalePad — 2025-07-09 — Vancouver
- Public talk page: https://vancouver.aitinkerers.org/talks/rsvp_HMla5T2nXdc

### [Cognitive Architecture + Conversational Agents](https://seattle.aitinkerers.org/talks/rsvp_WBCt9jEiih4)

I'll demo how I've applied cognitive architecture in the form of utterance classification and modular memory to create a highly configurable deterministic layer for AI based chat interactions

- Event context: AI Tinkerers Seattle – June Meetup — 2025-06-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_WBCt9jEiih4

### [NANDA: The Internet of AI Agents](https://paris.aitinkerers.org/talks/rsvp_5_2la47WlPs)

NANDA (Networked Agents And Decentralized AI) builds on Anthropic's Model Context Protocol (MCP) to create a true Internet of AI Agents. While MCP provides standardized interaction between AI agents, tools and resources, NANDA adds the critical infrastructure needed for distributed agent intelligence at scale.

- Event context: AI Tinkerers - Paris Meetup on June 26th - Google Cloud AI — 2025-06-26 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_5_2la47WlPs

### [11.ai all the things](https://sf.aitinkerers.org/talks/rsvp_ysgcFSG-7K8)

The introduction of voice assistants and voice agents with MCP unlocks a whole new domain of product possibility. Paired with a user's context and their chat history, agents can integrate more seamlessly into out daily lives. This will be a demonstration of voice MCP for an AI home assistant. With only your voice, it can: - Turn on/off the lights - change the temperature of a thermostat, - provide information about various home-appliances and timers. Anything that can fit in an MCP

- Event context: AI Tinkerers - Voice Agents Science Fair — 2025-06-26 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_ysgcFSG-7K8

### [Plataformas de IA agéntica de código abierto](https://manizales.aitinkerers.org/talks/rsvp_qVC4gTg2J78)

Exploración y exposición del código, instalación, y uso de plataformas de IA agéntica de código abierto como OpenManus, Suna, OWL, y Lemon AI.

- Event context: 🚀 ¡Quinto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-06-25 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_qVC4gTg2J78

### [Leverage AI Web Agent + MCP in Your Own Browser](https://sf.aitinkerers.org/talks/rsvp_OQ_O1-hEPtU)

Demonstrate implementation and technical details of setting up MCP Oauth Client within Chrome Extension. Why calling MCP's with web agent context is a killer use case. How we are exposing our web agent as a MCP Server

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_OQ_O1-hEPtU

### [CoffeeInABit](https://sf.aitinkerers.org/talks/rsvp__7UB3UDwzbM)

Management of LinkedIn Campaigns, which runs locally on your laptop using MCP

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp__7UB3UDwzbM

### [Scaling up MCP with Code Orchestration](https://sf.aitinkerers.org/talks/rsvp_obYXPnxYCdQ)

We scale up our agent with MCPs using code orchestration, output schemas, and show how it can do tasks really well.

- Event context: AI Tinkerers - Advanced MCP Showcase — 2025-06-19 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_obYXPnxYCdQ

### [MCP Servers vs. Message Bus Architecture for AI Agents](https://las-vegas.aitinkerers.org/talks/rsvp_i3AInAf5ez8)

I have a brief outline at https://github.com/johnsmith968530/mcp_vs_redis_streams/blob/main/README.md

- Event context: AI Tinkerers Las Vegas - May Inaugural Meetup — 2025-05-09 — Las Vegas
- Public talk page: https://las-vegas.aitinkerers.org/talks/rsvp_i3AInAf5ez8

### [How and why we built an MCP server for our Text-To-Speech](https://las-vegas.aitinkerers.org/talks/rsvp_wtpm60sTRl0)

I will talk about building Hume AI's TTS MCP server (in progress, should be released by May) that we provide to let AI-savvy users use our Text-To-Speech capabilities from a chatbot. The themes are: * You can use technologies like MCP to serve (ai-savvy) users who have sophisticated workflows. Two years ago you would need to build bespoke UIs and APIs to model your users' workflows, but now you can get 80% of the way there by just wrapping your core capabilities with something like MCP and let the chatbot do the rest. * AI Voice is finally here. It's good enough to use in serious creative or professional projects.

- Event context: AI Tinkerers Las Vegas - May Inaugural Meetup — 2025-05-09 — Las Vegas
- Public talk page: https://las-vegas.aitinkerers.org/talks/rsvp_wtpm60sTRl0

### [Vibe Coding an MCP Server](https://amsterdam.aitinkerers.org/talks/rsvp_kRq55KNcb7Y)

If you've been meaning to implement an MCP Server and test it out, this short talk should help you get started. It's a lot easier than you think!

- Event context: AI Tinkerers Amsterdam - May Edition — 2025-05-06 — Amsterdam
- Public talk page: https://amsterdam.aitinkerers.org/talks/rsvp_kRq55KNcb7Y

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