Marc Shade
094f37d443
- collector.py: standalone daemon for 24/7 vector store population - 43 sources organized by domain with parallel fetching - --daemon, --interval, --sources CLI args - Dynamic import via _import_fetch_fn() - Entry point: intel-collector - server.py: 5 new MCP tools (intel_semantic_search, intel_similar_events, intel_timeline, intel_vector_stats, intel_collect) - pyproject.toml: vector optional dependency (qdrant-client + fastembed) - README.md: updated architecture, vector store section, tool reference - CLAUDE.md: updated tool count and architecture docs
51 lines
1.3 KiB
TOML
51 lines
1.3 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 30+ domains with 100+ 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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vector = ["qdrant-client>=1.7.0", "fastembed>=0.7.0"]
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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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intel-collector = "world_intel_mcp.collector:main"
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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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