Stop Building Complex Integrations. Start Connecting to Specialized MCP Servers.
Imagine building a chat app where users ask Claude about their GitHub data. A simple question like "What open pull requests are there across all my repositories?" suddenly becomes a nightmare of API integration, authentication, rate limiting, and maintenance.
Without MCP: You'd need to write, test, and maintain countless tool schemas and functions to handle GitHub's massive functionality. That's months of workβand it's just for one service!
MCP is a revolutionary communication layer that provides Claude with context and tools without requiring you to write tedious integration code. Think of it as shifting the burden of tool definitions and execution away from your server to specialized MCP servers.
Instead of you authoring all GitHub tools, an MCP Server for GitHub handles itβexposing a standardized set of tools your application can use immediately.
The Python MCP SDK transforms complex schema writing into simple Python function definitions. Check out how easy it is to create powerful tools:
from mcp import tool
@tool()
def read_document(doc_id: str) -> str:
"""Read and return the contents of a document."""
if doc_id not in docs:
raise ValueError(f"Document {doc_id} not found")
return docs[doc_id]
@tool()
def edit_document(
doc_id: str,
old_text: str,
new_text: str
) -> str:
"""Edit a document by replacing text."""
if doc_id not in docs:
raise ValueError(f"Document {doc_id} not found")
docs[doc_id] = docs[doc_id].replace(old_text, new_text)
return "Document updated successfully"
Callable functions that perform actions - like querying databases, sending emails, or processing data.
Structured data sources - like files, database tables, or API endpoints that Claude can read.
Pre-built, high-quality instructions that give better results than user-written prompts.
Let's walk through what happens when a user asks "What repositories do I have?" in your chat app:
from mcp.server.fastmcp import FastMCP
# Initialize server
mcp = FastMCP("DocumentServer")
# Sample data
docs = {
"report.pdf": "Quarterly sales report content...",
"plan.md": "Project implementation plan..."
}
# Add tools with decorators
@mcp.tool()
def read_document(doc_id: str) -> str:
return docs.get(doc_id, "Document not found")
@mcp.tool()
def list_documents() -> list[str]:
return list(docs.keys())
# Add resources
@mcp.resource("docs://documents/{doc_id}")
def get_document(doc_id: str) -> str:
return docs.get(doc_id, "Document not found")
if __name__ == "__main__":
mcp.run()
Test your server instantly with the MCP Inspector:
This launches an interactive environment where you can test all your tools, resources, and prompts!
Stop building integrations from scratch. Start connecting to specialized MCP servers and focus on what makes your application unique.
"MCP isn't just another protocolβit's a paradigm shift in how we think about AI application development. Once you try it, you'll never go back to the old way."