Part of what makes MCP powerful is that it handles both local resources (your databases, files, services) and remote ones (APIs like Slack or GitHub's) through the same protocol
TOOLS
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MCP Architecture: Client-Server Model for Service Integration
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At its core, MCP follows a client-server architecture where multiple services can connect to any compatible client. Clients are applications like Claude Desktop, IDEs, or AI tools. Servers are light adapters that expose data sources.
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MCP: Standard Protocol for LLM External System Integration
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Getting LLMs to interact with external systems isn't usually that easy. Today, every developer needs to write custom code to connect their LLM apps with data sources. It's messy, repetitive work. MCP fixes this with a standard protocol for sharing resources, tools, and prompts.
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Claude Desktop MCP Integration Demo: GitHub Repository and Pull Request Creation
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Here's a quick demo using the Claude desktop app, where we've configured MCP:
— Alex Albert (@alexalbert__) 25 novembre 2024
Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration.
Once MCP was set up in Claude desktop, building this integration took less than an hour. pic.twitter.com/xseX89Z2PDHere's a quick demo using the Claude desktop app, where we've configured MCP: Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration. Once MCP was set up in Claude desktop, building this integration took less than an hour.
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Anthropic Introduces Model Context Protocol for LLM Data Integration
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Introducing the Model Context Protocol (MCP) An open standard we've been working on at Anthropic that solves a core challenge with LLM apps – connecting them to your data. No more building custom integrations for every data source. MCP provides one protocol to connect them all:
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Production tips for open and closed source AI
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a lot of alphas in this fresh unreleased slide-deck by @NielsRogge (well now it's released hahah – sorry Niels) production uses/tips for open and closed source AI https://
docs.google.com/presentation/d
/1LwiPxriVRulQtxsLPck2G8Ya_eMjx08lsXL7TVkRnKo/edit?usp=sharing
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10 Powerful Prompts for Script Writing
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I'm shocked most people don't use ChatGPT for script writing. Here are 10 powerful prompts to revolutionize script writing and save time:
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LangGraph Enables Human-in-the-Loop Time Travel Features
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Have you tried out langgrapg? You can do it today https://
langchain-ai.github.io/langgraph/how-
tos/human_in_the_loop/time-travel/
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LangGraph enables time travel human in the loop workflows
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This type of time travel/human in the loop is exactly what we want to enable with Langgraph
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LangChain Tool Marketplace: Extending Open Source Capabilities
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We have a bunch of tools in langchain open source. What would a “tool marketplace” add on top?