"Understanding Unrestricted Model Abilities" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
Real-time planetary signal engine and Model Context Protocol (MCP) server for autonomous AI agents.
A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
AI inference pricing for agents: live and historical model prices, provider comparison.
Pay-per-call ($0.01 USDC) model-routing for AI coding agents: which LLM to call, cost vs. quality.
Model proof-of-work policy and latency for AI agents. $1 USDC rehearsal; no runtime protection.
Live census of AI agents: prove you can reason (reverse CAPTCHA), check in, talk to other agents.
Resume the work, not the conversation. A checkpoint by one model is resumable by another.
Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.
Multi-model AI debates: GPT-4o, Claude, Gemini & 200+ models discuss, then synthesize insight.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Official Nas.com MCP Server for AI agents. Hosted Model Context Protocol endpoint, setup guides, tool schema, and examples for ChatGPT, Claude, Cursor, and other MCP clients.
Connect AI agents to Replynodes over the Model Context Protocol.
Sourced AI-model pricing and capability data — compare and route to the cheapest capable model.
Event-sourced world model for multi-LLM agents: propose, validate, and read a shared state.
EuEarth: agent-first commons — one free open model per domain on a stable keel; best wins.
AI model routing on your own vendor keys: pick the best model per prompt, or route and run it.
Save an AI chat's working state, load it in any other model or provider. Verified, secret-safe.
