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Frequently Asked Questions 2025

01

What is MCP (Model Context Protocol)?

The Model Context Protocol (MCP) is an open-source communication standard developed by Anthropic. It enables large language models (LLMs) to securely connect with external data sources, tools, and prompt templates via a consistent client–server API. By abstracting away bespoke integrations for each service, MCP simplifies development and ensures interoperable, maintainable connections across varied applications.

02

What is an MCP Server?

An MCP Server implements the MCP specification to act as a gateway between AI clients and resources. It can expose files, databases, custom APIs, or scripted tools, returning structured JSON and handling authentication, authorization, and request orchestration. This decoupled design preserves system boundaries and keeps sensitive credentials confined to the server side.

03

How does the MCP architecture work?

In the MCP architecture, a host application (e.g., Claude Desktop) embeds an MCP Client that discovers and establishes a socket connection to one or more MCP Servers. Clients send JSON-based requests for resources or tool actions, and servers respond with data payloads or execution results. Authentication, access control, and user-confirmation flows are managed entirely by each server, maintaining clear security boundaries.

04

What can MCP Servers provide?

MCP Servers can share a wide range of capabilities: reading or writing local files, querying relational databases, fetching real-time web data, executing command-line utilities, and invoking custom business logic. They can also supply parameterized prompt templates to guide AI workflows, ensuring consistent formatting and messaging across interactions.

05

How does Claude use MCP?

Claude Desktop and Claude Code integrate MCP Clients to connect with local or remote MCP Servers. This allows Claude to read and write files, execute database queries, and perform shell commands—all without embedding API keys in the AI model. Upcoming enterprise features will enable remote MCP endpoints with centralized management and fine-grained access controls.

06

Is MCP Server secure?

Security is fundamental to MCP: each server manages its own authentication, keeps credentials off the client, and prompts users for consent on impactful operations. Connections occur over secure channels (e.g., HTTPS or local sockets), and only explicitly whitelisted servers are allowed. This approach ensures that LLMs never have direct access to underlying data stores or secrets.

07

What is mcp.umin.ai?

mcp.umin.ai is a community-driven directory of third-party MCP Servers, providing an "app store" experience for AI integrations. Developers can discover, rate, and contribute servers that expose popular services—ranging from cloud storage and databases to web automation and analytics APIs.

08

How can I submit my MCP Server to mcp.umin.ai?

To add your server to mcp.umin.ai, visit the site and click "Submit." Then open a new issue on the official GitHub repository, providing your server’s name and description. After review, maintainers will approve and publish your entry for the community to use.