Files
QuanTAlib/.claude/settings.local.json
T
Miha Kralj 86fe32a682 SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
Co-authored-by: Warp <agent@warp.dev>
2026-01-18 19:02:03 -08:00

73 lines
2.3 KiB
JSON

{
"permissions": {
"allow": [
"Bash(dotnet test:*)",
"Bash(git add:*)",
"Bash(git commit -m \"$\\(cat <<''EOF''\nRemove coverlet.msbuild to fix BadImageFormatException warnings\n\nSwitch from coverlet.msbuild to coverlet.collector approach to eliminate\nPDB-related warnings on .NET 10. Add runsettings file for optional coverage.\n\n🤖 Generated with [Claude Code]\\(https://claude.com/claude-code\\)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\nEOF\n\\)\")",
"Bash(git push:*)",
"Bash(dotnet build:*)",
"Bash(where:*)",
"Bash(findstr:*)",
"Bash(qodana scan:*)",
"Bash(dir:*)",
"Bash(docker info:*)",
"Bash(npx markdownlint-cli:*)",
"Bash(dotnet restore:*)",
"WebSearch",
"WebFetch(domain:www.jetbrains.com)",
"Bash(powershell -Command:*)",
"Bash(powershell -NoProfile -File -:*)",
"Bash(powershell -NoProfile -ExecutionPolicy Bypass -File C:githubquantalibfix-whitespace.ps1)",
"Bash(powershell -NoProfile -ExecutionPolicy Bypass -File \"C:\\\\github\\\\quantalib\\\\fix-whitespace.ps1\")",
"Bash(dotnet clean:*)"
]
},
"mcpServers": {
"MCP Docs": {
"type": "sse",
"url": "https://gitmcp.io/docs"
},
"tavily": {
"command": "npx",
"args": ["-y", "tavily-mcp@latest"],
"env": {
"TAVILY_API_KEY": "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"
}
},
"Ref": {
"command": "npx",
"args": ["ref-tools-mcp@latest"],
"env": {
"REF_API_KEY": "ref-c60dc6e79ca35aaccf30"
}
},
"sequential-thinking": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
},
"wolfram-mcp": {
"command": "npx",
"args": ["-y", "wolfram-mcp@latest"],
"env": {
"WOLFRAM_APP_ID": "83E9X2U98T"
}
},
"qdrant": {
"command": "uvx",
"args": ["mcp-server-qdrant"],
"env": {
"QDRANT_URL": "http://192.168.1.85:6333",
"COLLECTION_NAME": "agent_memory",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
},
"codacy": {
"command": "npx",
"args": ["-y", "@codacy/codacy-mcp"],
"env": {
"CODACY_ACCOUNT_TOKEN": "HJgLyN2VclacmCEVxhkT"
}
}
}
}