Curistat Mcp
C+ 72 completed
Other
containerized / python · tiny
10
Files
364
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#1527830Phase
doneProgress
0%Started
2026-04-16 14:33:54Finished
2026-04-16 14:33:54LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_tinyNovelty
11.98Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47284
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🧪 Code Distillation
Browse all specs →AI Prompt
I want to build a Python application that acts as a futures volatility intelligence server, following the Model Context Protocol (MCP). The server needs to provide various analytical tools for products like ES and NQ. Specifically, I need functions to get the daily and 5-day volatility forecasts, scan all rare volatility signals, determine the directional bias, and generate a full session plan. It should also include tools for regime detection, market condition snapshots, and research capabilities like fetching the economic calendar or finding historical days similar to the current one. Please structure it so it can be integrated with agent frameworks like CrewAI or LangChain.
python futures volatility mcp finance api agent forecasting
Generated by gemma4:latest
Catalog Information
I want to build a Python application that acts as a futures volatility intelligence server, following the Model Context Protocol (MCP). The server needs to provide various analytical tools for products like ES and NQ. Specifically, I need functions to get the daily and 5-day volatility forecasts, scan all rare volatility signals, determine the directional bias, and generate a full session plan. It should also include tools for regime detection, market condition snapshots, and research capabiliti
Tags
python futures volatility mcp finance api agent forecasting
Quality Score
C+
71.5/100
Structure
64
Code Quality
100
Documentation
65
Testing
15
Practices
78
Security
100
Dependencies
90
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No tests found — high risk of regressions
Recommendations
- Add a test suite — start with critical path integration tests
Languages
Frameworks
None detected
Symbols
function11
constant3
variable1
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BinComp Dependency Hardening
All packages →2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.