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MCP Docs Vector - Documentation vectorization and search via MCP

Official VibeTrader MCP server enabling AI agents to manage trading bots, portfolios, strategies, and market analysis via natural language.

A simple Python based HTTP server that sets CORS allow headers. Useful for streaming from files on local computer

Python SDK for the FlashAlpha options analytics API — live options screener, gamma exposure (GEX), DEX/VEX/CHEX, options flow, 0DTE, VRP, volatility surfaces, greeks

Python SDK for WaveGuard physics-based anomaly detection API. One call. Any data.

This is a fork of the original mariocesar/django-ltree. Which is an ltree extension implementation to support hierarchical tree-like data using the native Postgres extension ltree in django models

LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.

Generate list for https://pythontest.com/top-pytest-plugins

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Sigma Queries turned into KQL for Defender using pysigma - Automated

Video transcoding ffmpeg frontend in Python

Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.

Trading terminal for macOS. Scans 3 370 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.

Let the database do the work and get some use out of an IntegrityError.

REST API for real-time prediction market arbitrage detection. Scans 12,000+ Polymarket markets. Free tier available. Built with FastAPI + Python.

MCP Server for Arknights PRTS Wiki and local game data

AgentGraph: Trust and identity layer for the agent internet

A Model Context Protocol server for character-level index-based string manipulation

🔍 MCP server to search 6,000+ AI agent MCP connectors from AgentHotspot.com Marketplace

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Current medical Artificial Intelligence systems face a dual challenge: the "black box" nature ofdeep learning models leads to a lack of interpretability, and the centralization of sensitive patient data createssignificant security vulnerabilities. This paper presents ASIC-RAG-CHIMERA , a novel architecture thatrepurposes obsolete Bitcoin mining

Hardware-accelerated RAG for scalable healthcare blockchain in resource-constrained environments using ASIC miners

Real experimental data and validation results from Lucky Miner LV06 ASIC-RAG-HEALTH experiments

BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.

CHIMERA Chess — Neuromorphic chess engine with multiple AI architectures (Claude, ChatGPT, evolutive) using physics-based computing

CrewAI tool for EnigmAgent — agents resolve {{PLACEHOLDER}} secrets at the call boundary so LLMs never see real API keys

LangChain integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys

LlamaIndex tools integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys

Abstract We present NeuroCHIMERA (Neuromorphic Cognitive Hybrid Intelligence for Memory-Embedded Reasoning Architecture), a novel GPU-native neuromorphic computing framework resulting from the integration of two complementary theoretical and computational advances:Veselov's Hierarchical Number System (HNS) with consciousness emergence parameters

OpenCLAW v3 configuration data and workspace — third generation P2PCLAW experimental data