chore: import upstream snapshot with attribution
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@@ -0,0 +1,78 @@
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{
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"mcpServers": {
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"python-sdk": {
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"name": "Python SDK",
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"description": "Official Python SDK with FastMCP for rapid MCP development",
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"command": "python",
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"args": ["-m", "python_sdk.server"],
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"env": {}
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},
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"docker": {
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"name": "Docker MCP",
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"description": "Isolated code execution via Docker containers",
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"command": "python",
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"args": ["-m", "mcp_server_docker"],
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"env": {}
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},
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"jupyter": {
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"name": "Jupyter MCP",
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"description": "MCP integration for interactive Jupyter notebooks",
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"command": "python",
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"args": ["-m", "server_jupyter"],
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"env": {}
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},
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"postgresql": {
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"name": "PostgreSQL MCP",
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"description": "Natural language queries to PostgreSQL databases",
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"command": "python",
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"args": ["-m", "server_postgres"],
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"env": {
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"DATABASE_URL": "postgresql://user:pass@host/db"
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}
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},
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"opik": {
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"name": "Opik MCP",
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"description": "Observability for LLM apps with tracing and metrics",
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"command": "python",
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"args": ["-m", "opik_mcp"],
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"env": {}
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},
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"memory-bank": {
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"name": "Memory Bank MCP",
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"description": "Centralized memory system for AI agents",
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"command": "server-memory",
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"args": [],
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"env": {}
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},
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"sequential-thinking": {
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"name": "Sequential Thinking MCP",
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"description": "Helps LLMs decompose complex tasks into logical steps",
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"command": "code-reasoning",
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"args": [],
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"env": {}
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},
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"brave-search": {
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"name": "Brave Search MCP",
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"description": "Privacy-focused web search tool",
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"command": "server-brave-search",
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"args": [],
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"env": {}
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},
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"google-maps": {
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"name": "Google Maps MCP",
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"description": "Integrates Google Maps for geolocation and directions",
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"command": "server-google-maps",
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"args": [],
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"env": {
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"GOOGLE_MAPS_API_KEY": "..."
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}
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},
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"deep-graph": {
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"name": "Deep Graph MCP (Code Graph)",
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"description": "Transforms source code into semantic graphs via DeepGraph",
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"command": "mcp-code-graph",
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"args": [],
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"env": {}
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}
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}
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}
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