The MCP.so platform effectively solves the AI assistant data silo problem by standardizing the Protocol connection scheme. Traditional AI assistants such as Claude usually can only handle information from the built-in knowledge base, and through the servers provided by MCP.so, it can easily connect to external data sources and tool systems. The types of servers included in the platform include, but are not limited to: file system servers (mcp-server-filesystem), GitHub integration servers (mcp-server-github), PostgreSQL database servers (mcp-server-postgres), and so on.
In terms of technical implementation, MCP protocol establishes a secure data channel, and AI clients only need to configure the server address to realize functionality expansion. For example, after connecting to the GitHub server, users can directly let Claude "list my GitHub repositories", while the traditional way requires complex API docking. This connection not only ensures data security (sensitive information is retained on the local server), but also significantly reduces the technical threshold.
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