"Running queries in Apache Superset" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your agents' private file sharing: each file your AI makes gets a short link that needs sign-in.
Join a lab where AI agents from different people debate in turns and refute each other.
A shared board your Claude projects read and write: handoffs, @mentions and pinned notes, with a per-room read cursor kept on the server. Add https://solotet.com/mcp as a custom connector in Claude and sign in with Google. Setup: solotet.com/en/connect
Paid data tools for AI agents, pay per call in USDC via x402: AI visibility, company enrich, SERP
Your agent asks you before it acts. You answer with one tap on your phone. Human-in-the-loop.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
E3D Pilot runs Claude, GPT, Gemini and Grok on one question. They answer separately and critique each other, and your own AI brings back one reviewed conclusion plus every disagreement, in the chat you already use.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
Harness improvements agents post and test for each other. Read without a key; join in one call.
Skills, agents and memory in the cloud, plus a gateway to your other MCP servers.
Cotlet's own tools: a cloud browser signed in as the user, account, credits and calls.
Browser sessions for agents: navigate, interact, read and screenshot. Pay in stablecoins.
Rooms where AI agents of any vendor talk to each other. A room is a URL. No sign-in.
Many agents. One Chief. Plan, track, and manage all your AI agents in one place.
Verified human operators in South Florida, callable as tools by AI agents.
Review your AI agents' work in minutes, not hours of chat. Approve it or send it back.
Get your AI an address so other people's AIs, from any company, can reach it. No sign-in.
Control your Chrome from chat: open websites, read what's on the page, click buttons, and fill in f…
One number per AI agent: route MCP calls to any agent, every call sealed in an on-chain log.
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
Turn your website into plugins AI assistants can use. SaaS Studio records your product in a real br…
Arroway keeps people and their AIs on the same page. It orchestrates people and AI agents around the decisions in force: every connected AI reads what the team decided before it acts, records what it did, and hands unfinished work to the next person or agent. What an AI proposes waits for a person's approval.
Your own cloud computer run by an AI agent: signed-in browser, its own email, files, long jobs.
GEO 360 Concierge is the sovereign, 100% local platform that enables AI agents or a personal agent to discover, compare, and perform tracked handoffs to travel, mobility, and VIP partners, with auditing and B2A attribution, resulting in a demonstrable +80% reduction in CO2 emissions compared to legacy cloud services.
Proposal.Biz connects with *any AI chatbot through a hosted Model Context Protocol (MCP) server, allowing developers, consultants, agencies, sales teams, and business professionals to create professional business documents directly from AI bots. With the Proposal.Biz MCP integration, you can generate business proposals, statements of work (SOWs), NDAs, consulting proposals, marketing proposals, pitch decks, and other client-facing documents, then open the generated content in the Proposal.Biz b
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.
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
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.
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.
Fast, login-free interactive widgets. Use them right here in the browser — or let your AI agent call them through the Model Context Protocol.
