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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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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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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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import { useMCPContext, MCPProvider } from 'react-mcp'; function App() { return (); } function Dashboard() { const { context, updateContext } = useMCPContext(); // Context is available to all AI interactions }