Loading video...

Video Failed to Load

Go Home

An MCP server to chat with any GitHub repo! It is powered by GitIngest, and has two tools: - git_directory_structure → to read the directory structure. - git_read_important_files → to read files. 100% open-source!

66,308 views • 1 year ago •via X (Twitter)

11 Comments

Terry Carson's profile picture
Terry Carson1 year ago

Here it is...

Manticore Search's profile picture
Manticore Search1 year ago

🚀 Star Manticore Search on #GitHub today and join our quest for the ultimate search solution!

agnt.gg's profile picture
agnt.gg1 year ago

Really slick setup. love seeing agents wired up this cleanly. We’re building something similar into AGNT right now: a chat interface for triggering SLOP-connected agents and toolchains on the fly. Protocol-native workflows need this layer.

Akshay 🚀's profile picture
Akshay 🚀1 year ago

This is super helpful! Thanks for sharing Avi! 👏

Karan's profile picture
Karan1 year ago

This is next-level. How does gitingest handle large monorepos?

Jason Kneen's profile picture
Jason Kneen1 year ago

Awesome work MCP is the way to go Everything is MCP

Jason Kneen's profile picture
Jason Kneen1 year ago

would help to have the link

Yekta Celik's profile picture
Yekta Celik1 year ago

Do u guys know a github repo for chatting with data on my computer?

Aravinda Sharma's profile picture
Aravinda Sharma1 year ago

Where is the link for GitHub?

Daniel Nguyen ⚡'s profile picture
Daniel Nguyen ⚡1 year ago

Where is the link sir

Andaç Kartal's profile picture
Andaç Kartal1 year ago

very good. what's your rag recommendation?

Related Videos

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 views • 1 year ago