Marc Shade
2969dfc950
- intel_strategic_posture: composite risk from 9 weighted domains (military, political, conflict, infrastructure, economic, cyber, health, climate, space) with per-domain scoring and top threats - intel_world_brief: structured daily intelligence summary aggregating posture, focal points, news clusters, anomalies, trending threats - intel_fleet_report: naval fleet activity combining theater posture, waterway status, military surge, and readiness scoring - intel_population_exposure: population at risk near active events (earthquakes, wildfires, conflict) using 105-city dataset (1B pop) New files: analysis/posture.py, analysis/world_brief.py, analysis/exposure.py, sources/fleet.py, config/population.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
49 lines
1.2 KiB
TOML
49 lines
1.2 KiB
TOML
[project]
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name = "world-intel-mcp"
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version = "0.1.0"
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description = "World Intelligence MCP Server - real-time global intelligence across 27 domains with 68 MCP tools"
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readme = "README.md"
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requires-python = ">=3.11"
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license = {text = "MIT"}
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authors = [
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{name = "Phoenix AGI", email = "phoenix@2acrestudios.com"}
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]
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keywords = ["mcp", "intelligence", "osint", "markets", "geopolitical", "phoenix"]
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dependencies = [
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"mcp>=1.0.0",
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"httpx>=0.27.0",
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"pydantic>=2.0.0",
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"feedparser>=6.0.0",
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"click>=8.1.0",
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"jinja2>=3.1.0",
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"rich>=13.0.0",
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]
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[project.optional-dependencies]
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dashboard = ["starlette>=0.37.0", "uvicorn>=0.29.0"]
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pdf = ["weasyprint>=62.0"]
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dev = [
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"pytest>=8.0.0",
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"pytest-asyncio>=0.23.0",
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"pytest-cov>=4.0.0",
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"respx>=0.21.0",
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]
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[project.scripts]
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world-intel-mcp = "world_intel_mcp.server:run"
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intel = "world_intel_mcp.cli:main"
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intel-dashboard = "world_intel_mcp.dashboard.app:run"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/world_intel_mcp"]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["src/world_intel_mcp/tests"]
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addopts = "-v --tb=short"
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