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MCP

An open standard protocol connecting AI assistants to data systems

#AI
#Developer Tools
#data connection
#open standards
#enterprise system
MCP

Product Details

Model Context Protocol (MCP) is a new standard designed to connect AI assistants with data systems, including content libraries, business tools, and development environments. It simplifies the connection between AI systems and data sources by providing a unified open standard, allowing AI systems to more reliably access the data they need, resulting in more relevant and better responses. The emergence of MCP solves the problem of previous AI models being unable to fully utilize data due to information silos and legacy system limitations, and promotes the further development and application of AI technology.

Main Features

1
Provide unified open standards to simplify the connection between AI systems and data sources.
2
Support developers to expose data through MCP servers or build AI applications connected to these servers.
3
Provides pre-built MCP servers to support multiple enterprise systems such as Google Drive, Slack, and GitHub.
4
Facilitate AI agents to better retrieve relevant information to more accurately understand the context of programming tasks.
5
Enables developers to build connections to standard protocols rather than maintaining separate connectors for each data source.
6
As the ecosystem matures, AI systems are able to maintain context across different tools and data sets.
7
Enables developers to build and test MCP connectors, as well as deploy remote production MCP servers for the entire organization.

How to Use

1
1. Install the pre-built MCP server through the Claude Desktop application.
2
2. Follow the quick start guide on the MCP official website to build the first MCP server.
3
3. Contribute connectors and implementations to MCP’s open source repository.
4
4. As an existing Claude for Work customer, start testing the MCP server locally, connecting Claude to internal systems and data sets.
5
5. Wait for Anthropic to provide a developer kit for deploying remote production MCP servers to serve the entire Claude for Work organization.

Target Users

The target audience includes AI tool developers, enterprises looking to leverage existing data, and early adopters exploring the frontiers of AI. By providing a unified connectivity standard, MCP makes it easier for these users to integrate AI technology into their workflows, improving efficiency and innovation.

Examples

Early adopters such as Block and Apollo have integrated MCP into their systems.

Development tools companies Zed, Replit, Codeium and Sourcegraph are working with MCP to enhance their platforms.

Claude 3.5 Sonnet can quickly build MCP server implementations, helping organizations and individuals quickly connect important data sets and AI tools.

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