by nolindnaidoo
Lint Jev and Luna decision-model questions, or ask the model to check them with your key.
npm:decisionlint-mcp · local package267/wkpublished 8 d ago
Call LLMs and other models through a unified interface.
Lint Jev and Luna decision-model questions, or ask the model to check them with your key.
Official Hugging Face MCP Server
MCP server for OpenRouter.ai integration
Lint Jev and Luna decision-model questions. TypeSafe's Jev, OpenAI's Decisions API (gpt-6-luna), OpenRouter, Vercel AI Gateway, LiteLLM, LLM Gateway, Eden AI, Liquid AI, llama.cpp. A command line for CI and a library for the editor, with the MCP server be
MCP server for consulting AI models via OpenRouter
Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP.
MCP server for AI vision analysis via OpenRouter
Provider-agnostic terminal coding and research agent with CodeCraft, OpenRouter and OpenAI-compatible providers, a full-screen TUI, subagents, skills, plugins and MCP.
Tells your agent which model to use and what it costs, across 46 providers and local runtimes.
CLI + MCP server for OpenRouter models: prices, benchmarks, context and comparisons
BizRouter CLI - run Claude Code, Codex, OpenCode, and Hermes through BizRouter, operate the BizRouter console (API keys, usage, policies, audit logs) from the terminal or as an MCP server, and ask BizRouter Search for answers grounded in 50+ live data sou
A lightweight AI agent for the terminal that works with any LLM, free tiers included: files, commands, web, MCP
Local RAG MCP server with hybrid search, PDF/DOCX support, and zero-config setup
Multi-provider Pi agent teams: parallel delegates, coordination, steering, optional recovery.
Nexus MCP server - Intelligent AI model search and discovery with OpenRouter integration
The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
Production MCP server for multi-agent AI research with OpenRouter
Persistent, local-first memory for AI coding agents (Claude Code, Codex CLI, Cursor, Copilot CLI): plain markdown in your repo, schema-enforced, relevance-gated recall via harness hooks or MCP. 100% offline.
MCP Server to find the best AI model for your task. Searches 300+ OpenRouter models by semantic match and constraints.
Routes design tasks to designarena.ai's top-ranked model via OpenRouter across 14 categories.