clawdesk-mcp
The MCP crate implements the Model Context Protocol — a standard for connecting AI models to external tools and data sources.
What It Does (Plain English)
MCP is like a universal plug that lets your AI agents connect to external services. Instead of building custom integrations for every database, API, or tool, MCP provides a standard way for agents to discover and use external capabilities. Think of it as USB for AI tools.
Key Features
- Server discovery — Find available MCP-compatible tools
- Tool integration — Use external tools from within agent conversations
- Resource access — Read data from databases, files, and APIs
- Prompt templates — Use predefined prompts from MCP servers
- Session management — Maintain persistent connections to MCP servers
Use Cases
| MCP Server | What It Provides |
|---|---|
| Database server | Query databases from conversations |
| File system server | Read and write files |
| Web search server | Search the internet |
| GitHub server | Manage repositories, issues, PRs |
| Custom tools | Any tool exposed via MCP |
Architecture Role
| Layer | Position |
|---|---|
| Integration | External tool connectivity |
Dependencies
clawdesk-types— Tool and resource typesclawdesk-agents— Agent tool registrationtokio— Async I/O