Model Context Protocol (MCP)
Model Context Protocol (MCP)
What is MCP?
The Model Context Protocol is an open standard (created by Anthropic) that provides a universal way for LLMs to connect with external data sources, tools, and services. Think of it as "USB for AI" β a standard interface that works across different models and applications.
Architecture
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β LLM App ββββββΆβ MCP Client ββββββΆβ MCP Server β
β (Claude) β β β β (Your API) β
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β
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β β
Tools Resources
Key Concepts
- Tools: Functions the LLM can call (like API endpoints). Have input schemas and return results.
- Resources: Read-only data the LLM can access (like files, database records, documentation).
- Prompts: Pre-defined prompt templates with parameters, provided by the server.
- Transport: stdio (local) or HTTP with SSE (remote). Servers can run locally or as web services.
Why MCP Matters
- Standardization: Write once, use with any MCP-compatible client
- Ecosystem: Growing library of pre-built MCP servers for databases, APIs, file systems
- Security: Structured permissions and capability negotiation
- Composability: Connect multiple MCP servers to give an LLM access to many systems
Example: This Project Uses MCP!
The DaisyDo FastAPI service includes an MCP server that exposes Odoo's data through standard MCP tools. Any MCP-compatible client can search records, create entries, and manage the ERP system through natural language.
πΌ Daisy+ in Action: A Real MCP Implementation
Daisy+ is a real-world MCP implementation. The FastAPI service acts as an MCP server that bridges Claude (or any MCP-compatible AI) with the Odoo ERP. This means you can connect Claude Desktop, Cursor, or any MCP client directly to your business data β ask questions about sales, create records, generate reports β all through the standardized MCP protocol. Daisy+ proves that MCP isn't just a spec β it's a practical bridge between AI and enterprise software.
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