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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Cross-provider LLM consultation MCP server (OpenAI + Anthropic + Gemini + xAI Grok + Jan local). First concrete impl of Trellis DSM-26 AngularTechnique substrate.
PythonMITFew starsNo key
Andrej Karpathy's LLM Council as a portable agent skill for Claude Code, Cursor, Copilot & co — built entirely from his repo, posts and research
SkillMITFew starsNo key
MCP server exposing principled social-choice aggregation rules + a benchmark measuring their accuracy vs majority vote over an LLM ensemble
MCPLink onlyFew stars
Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
PythonApache-2.0★ 7.1kNo key
A comprehensive MCP server providing access to Open-Meteo weather APIs for Large Language Models
Node.jsMIT★ 72No key
A multi-agent research MCP server + mini client adapter - orchestrates a net of async agents or streaming swarm to conduct ensemble consensus-backed research. Each task builds its own indexed pglite d
Node.jsMIT★ 54No key
Multi-model panel and judge (OpenRouter-Fusion style) for Claude Code, opencode, and any MCP host. Diverse models answer in parallel, then a judge reconciles them into one better answer.
PythonMIT★ 6No key
PythonMIT★ 4Few starsNo key
Compose agents like plain values. A TypeScript toolkit that wires LLM calls, tools, and functions into typed steps over eight providers. No framework, no ambient state.
Node.jsApache-2.0★ 4Few starsNo key
🧠 Graph Memory — MCP Knowledge Graph Service for AI agents. Graph-first approach with Neo4j + Qdrant RAG, ontology-driven extraction, multi-tenant. Built by Cloud Temple.
SkillApache-2.0★ 7No key
Advanced MCP server providing cutting-edge prompt optimization tools with research-backed strategies
PythonMIT★ 25No key
Early warning system for heat and cold risk. Predicts personalized thermal mortality risk by age, sex, comorbidities and activity, with an ML ensemble (XGBoost + LSTM) calibrated via conformal predict
PythonApache-2.0★ 5No key
A blind panel of models + a judge, for decisions where being wrong is expensive. Verifies before it synthesizes; counts consensus by model family, not by head.
SkillMIT★ 3Few starsNo key
Harness-agnostic, evidence-gated agent orchestra for autonomous ticket delivery — renders into Claude Code & OpenAI Codex from one neutral core.
SkillMIT★ 2Few starsNo key
House of Wisdom MCP: Multi-model consultation council. Diverse AI model families investigate independently and return their own perspectives; the orchestrator weighs them. Inspired by the medieval Bay
PythonMIT★ 4Few starsNo key
Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.
PythonGPL-3.0★ 4Few starsNo key
PythonMIT★ 1Few starsNo key
Budget-native multi-model coding agent with live steering, local Ollama, and trusted MCP tools.
PythonApache-2.0★ 1Few starsNo key
The AI agent firewall: One face watches what enters, one watches what leaves. Defends against prompt injections, exfiltration, and scams with a multi-layer ensemble.
SkillMIT★ 2Few starsNo key
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