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MCP Core
The official implementation of Model Context Protocol core library with standardized interfaces for AI context management.
corestandardprotocol
1248
287
Updated: Oct 15, 2023
by MCP Project
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View Example Code
import { MCPContext } from 'mcp-core';
const context = new MCPContext({
user: 'user-123',
task: 'data-analysis',
intent: 'query-visualization',
env: 'production'
});
const result = await llm.generate(prompt, context);
MCP-Python
Python implementation of the Model Context Protocol with support for popular LLM frameworks.
pythonlangchainllama-index
892
156
Updated: Oct 22, 2023
by MCP Project
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View Example Code
from mcp import Context, withContext
context = Context(
user="researcher",
task="literature-review",
intent="extract-findings",
env="academic"
)
# Use with any LLM
result = withContext(openai.Completion.create, context)(
model="gpt-4",
prompt="Summarize the key findings..."
)
React-MCP
React components and hooks for implementing MCP in frontend applications with built-in context management.
reactfrontendhooks
654
98
Updated: Nov 1, 2023
by MCP Community
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View Example Code
import { useMCPContext, MCPProvider } from 'react-mcp';
function App() {
return (
);
}
function Dashboard() {
const { context, updateContext } = useMCPContext();
// Context is available to all AI interactions
}