NexusMCP is a modern Python framework for building MCP-native AI agents, reusable skills, and secure tool-driven workflows with clean orchestration, observability, and extensibility. It is based on the Model Context Protocol, which provides a standardized way for LLM applications to connect to external tools and data sources.
npx add-skill aavikshit2007-ops/NexusMCPNexusMCP is a modern Python framework for building MCP-native AI agents, reusable skills, and secure tool-driven workflows with clean orchestration, observability, and extensibility. It is based on the Model Context Protocol, which provides a standardized way for LLM applications to connect to external tools and data sources.
v3.12.1 — Persistent, auditable, contradiction-safe memory for coding agents. Hybrid BM25+vector+RRF, MIC/MAP wire format, HTTP/inbox/daemon transports, deterministic quality gates, typed lineage edges, recall explainability. 84 MCP tools, 17 AI clients, mind-mem-4b 95/95 across 10 eval categories (Qwen3.5-4B full fine-tune).
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
Drei-Stufen-Humanizer für deutschsprachige Texte. ANALYSE → RECOMMEND → FINETUNE – evidenzbasiert nach Wikipedia KI-Erkennung v1.35. Via Capacium installierbar.
AgentClaw turns one-sentence ideas into reusable Claw capabilities. Build less boilerplate with declarative workflows, computer browser code file control, MCP, Skills, memory, knowledge bases, tracing, scheduling, and API/MCP publishing.
Resilient LLM agent with 4-tier graceful degradation — flowguard-powered. DevNetwork AI+ML Hackathon 2026.
Enable AI agents to autonomously create, evaluate, and evolve skills across any marketplace without user intervention.