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VisitWhat will be the most popular application of Anthropic's MCP by June 30, 2025?
Integration with GitHub • 25%
Integration with Slack • 25%
Integration with local files • 25%
Other business tools • 25%
Industry reports, surveys, and usage statistics from major tech publications
Anthropic's MCP Enables AI to Connect to GitHub, Slack in Minutes
Nov 25, 2024, 05:20 PM
Anthropic has introduced the Model Context Protocol (MCP), an open-source standard designed to facilitate seamless integration between AI assistants and various data sources. This protocol aims to simplify the process of connecting AI systems to external environments, including content repositories, business tools, and development environments. With MCP, AI applications can now interact with services like GitHub, Slack, and local files without the need for custom integrations, enabling secure integrations in minutes. The protocol has been adopted by companies like Sourcegraph, enhancing their development workflows by allowing direct access to external context. Demonstrations have shown that AI, like Claude desktop, can autonomously create GitHub repositories, write code, and open pull requests, showcasing the potential for AI to manage tasks across different systems.
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Real-time conversation • 25%
Screen sharing • 25%
Image sharing • 25%
Other • 25%
Smartphones • 25%
Data Centers • 25%
AI Models • 25%
Other • 25%
Retrieval-Augmented Generation (RAG) • 25%
Chatbots • 25%
Document Summarization • 25%
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Software Development • 25%
Business Tools • 25%
Content Repositories • 25%
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Hospitality • 25%
Healthcare • 25%
Finance • 25%
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Natural Language Processing • 25%
Computer Vision • 25%
Reinforcement Learning • 25%
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Direct data source interaction • 25%
Automated code suggestions • 25%
Enhanced security protocols • 25%
Other • 25%
Web Browsing • 25%
Gaming • 25%
Research • 25%
Other • 25%
AI Assistant (Project Astra) • 25%
Browser-based tasks (Project Mariner) • 25%
AI Coding (Jules) • 25%
Gaming (Gemini 2.0 for Games) • 25%
Lip sync videos • 33%
Animated storytelling • 33%
Virtual influencers • 33%
Natural Language Processing • 25%
Computer Vision • 25%
Reinforcement Learning • 25%
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OpenAI • 25%
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Microsoft • 25%
Google • 25%