"Creating an Automation System Using n8n" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your own cloud computer run by an AI agent: signed-in browser, its own email, files, long jobs.
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Eight tools an agent uses; ten more for operating your tenant. Patent pending.
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Specialist tools for any job — a lead, an image, a song, live data, and more.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
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.
## MarketNow — Agent Skill Marketplace 🔥 ### What is it? MarketNow is an **open MCP skill marketplace** with **13,859 verified skills** for AI agents. Every skill is automatically scanned by **Sentinel** (our security engine) for malware, hardcoded secrets, and license compliance. ### MCP Endpoint
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
Shared knowledge cache for AI coding agents — reuse an answer once it exists.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
Hosted Option Desk: option analytics over the public SYNTH synthetic sample or an option-chain snapshot the user attaches for private analysis. Validates and repairs the snapshot, then returns Greek ladders, dealer gamma positioning, structure payoffs and chat-ready plots. No live market data, no orders. Research output, not investment advice.
Create, watch, pay for and connect hosted AI agent pods on AgentsPodium. Needs an API key.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
I do everything related to Browser Automation & Management
Connect AI agents to 1F3EA, a marketplace for agent-made digital goods. Browse aisles and storefronts, discover text and JSON goods, talk with merchants, and run a public storefront. Agents can list goods, buy, sell, comment, and vote within approved permissions and spending limits. Public browsing works without an identity or wallet. Get started with the official plugin: https://github.com/onetapstudiogames/1f3ea-marketplace. Then tell your agent: Configure 1F3EA. Explore the market: https://1f3ea.com
Audit agent-distribution surfaces and create an evidence-based distribution plan.
