Files
world-intel-mcp/pyproject.toml
T
Marc Shade bc75cf46f7 feat: add Qdrant vector store for enterprise-grade semantic intelligence
Phase 16: Vector intelligence (+3 tools = 104 total)

New tools:
- intel_semantic_search: Natural language search across all stored intelligence
- intel_similar_events: Find historically similar events for pattern matching
- intel_timeline: Chronological timeline of stored data with domain filtering

Architecture:
- vector_store.py: Qdrant client with FastEmbed (ONNX, bge-small-en-v1.5)
- Background worker queue (asyncio) for non-blocking storage
- Auto-populates from every Fetcher.get_json() call
- 40+ domain categories mapped for filtered search
- Graceful degradation: vector store is optional, all 101 existing tools work without it

Integration:
- Fetcher: new vector_store parameter, stores data after each successful fetch
- server.py: vector store init + worker lifecycle + 3 dispatch cases
- dashboard/app.py: vector store worker starts on dashboard boot
- intel_status: now includes vector store statistics
- pyproject.toml: [vector] optional dependency (qdrant-client, fastembed)

186/186 tests passing.
2026-03-08 09:29:43 -04:00

50 lines
1.2 KiB
TOML

[project]
name = "world-intel-mcp"
version = "0.1.0"
description = "World Intelligence MCP Server — real-time global intelligence across 30+ domains with 100+ MCP tools"
readme = "README.md"
requires-python = ">=3.11"
license = {text = "MIT"}
authors = [
{name = "Phoenix AGI", email = "phoenix@2acrestudios.com"}
]
keywords = ["mcp", "intelligence", "osint", "markets", "geopolitical", "phoenix"]
dependencies = [
"mcp>=1.0.0",
"httpx>=0.27.0",
"pydantic>=2.0.0",
"feedparser>=6.0.0",
"click>=8.1.0",
"jinja2>=3.1.0",
"rich>=13.0.0",
]
[project.optional-dependencies]
dashboard = ["starlette>=0.37.0", "uvicorn>=0.29.0"]
vector = ["qdrant-client>=1.7.0", "fastembed>=0.7.0"]
pdf = ["weasyprint>=62.0"]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"pytest-cov>=4.0.0",
"respx>=0.21.0",
]
[project.scripts]
world-intel-mcp = "world_intel_mcp.server:run"
intel = "world_intel_mcp.cli:main"
intel-dashboard = "world_intel_mcp.dashboard.app:run"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/world_intel_mcp"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["src/world_intel_mcp/tests"]
addopts = "-v --tb=short"