MCP servers and skills: search, filter by where they run, and compare.
1–24 of 52 tools for “llm-ensemble”
Clear allCross-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
A Claude Code skill that fans one hard question out to several frontier models (GPT-5.5, Gemini, Kimi, GLM) blind and in parallel, then has Opus 4.8 judge and synthesize one grounded answer. Multi-mod
SkillLink 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
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
🧠 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
Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.
PythonGPL-3.0★ 4Few starsNo 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★ 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
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
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
Claude Code plugin: MCP server that offloads bounded LLM tasks to cheaper local (LM Studio, Ollama, vLLM, llama.cpp) or remote (OpenRouter) models with profile-based configuration and ensemble mode
SkillMIT★ 1Few starsNo key
Advanced MCP server providing cutting-edge prompt optimization tools with research-backed strategies
PythonMIT★ 25No key
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