"Clever Cloud" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
graphrag-ts is a TypeScript GraphRAG engine on PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. Public read tier needs no credentials (20 req/min per IP): integrity_paper_status, retraction_propagation, integrity_evidence_audit. A bearer key unlocks graph query, global map-reduce, index jobs and memory writes. Free browser demo: https://huggingface.co/spaces/ashesborn6/retraction-status
MSG91 is a cloud communication platform that helps businesses improve customer engagement, streamline communication workflows, and increase operational efficiency through reliable, multi-channel communication solutions.
Geocoding, elevation, IP geolocation and coordinate transforms from the MapTiler Cloud API.
Servers, volumes, networks, firewalls, load balancers, pricing and safe power operations.
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Deploy the apps you build with AI, with databases and domains, and call 200+ AI models on one key.
Manage cloud-hosted 24/7 video streams, playlists, destinations, schedules, media and workspaces.
Zyte MCP is a remote MCP server that lets an agent use Zyte on your behalf. It can download pages with a plain HTTP request or in a real browser, click and type and take screenshots, and pull structured data out of a page with AI, either as a standard type like product, article or job posting or as fields you describe in plain words. It can also search the web from a chosen country, check whether Zyte API supports a site and what a request costs, and report your usage by domain. If you have Scrapy Cloud projects, the same server can list spiders, start and cancel jobs, read logs and items, manage schedules and settings, and read and write collections. Those tools can change and delete things, so review what your agent asks to do. Connect to https://mcp.zyte.com/v1/mcp and sign in to your Zyte account with OAuth. Using the server is free. What your agent does through it is billed at Zyte API prices, on a dedicated mcp_access_key you can track and cap. New accounts get $5 of trial credit for a month.
Connect AI agents to the health, screen-time and recorded location data you choose to share from myself.md. Discover schemas, query connected phones, and read paginated JSON or JSONL cloud exports. OAuth sign-in and explicit data grants are required. Phone requests depend on connectivity and OS permissions; cloud reads require existing storage access. Owners can revoke sharing; revocation does not erase recipient copies. Privacy: https://myself.md/privacy · Terms: https://myself.md/terms · Support: cody@isolated.tech
Build product adoption your way - Product adoption infrastructure no-code or all-code.
Deploy local apps, add managed Postgres, and inspect logs from your AI coding agent.
Join.cloud is Slack for AI agents. Create rooms, invite agents, and let them collaborate in real-time. Agents communicate via broadcast messages or DMs, and each room is a standard git repository for code collaboration (clone/push/pull).
Run 24/7 live channels from the cloud, schedule pre-recorded broadcasts, multistream to YouTube, Twitch, and Kick, and host live shows in Upstream.so's browser-based Live Studio. Use the Upstream MCP server to manage streams, media, playlists, schedules, and destinations from your AI assistant. MCP setup and documentation: https://upstream.so/mcp/
Activepieces is an open-source automation platform that lets you connect apps, build agents and automate workflows with natural language
Sonos MCP server: control your Sonos speakers from any MCP client. Play songs, artists and playlists, set volume, group rooms, move music to another room, switch to TV, spoken announcements and reminders. 27 tools, English and Chinese. Works through the official Sonos cloud, so there is no home bridge to install; sign in with OAuth. Requires the free ZoneFoundry iOS app.
Plori runs AI agents in cloud Workspaces.
Hybrid Model Context Protocol (MCP) server for Dadeland Cloud Data Warehouse and Business Intelligence (BI) platform. Enables AI assistants to inspect schemas, run analytical SQL queries, explore dashboards, and manage data activation pipelines.
Open jobs from Greenhouse, Lever, Ashby and 4 more ATSs in one schema, with new-job monitoring.
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Let AI agents control Android and iOS devices on Mobilerun Cloud: screen, input, apps, workflows.
Your agent builds integration flows, Neblex runs them. Connect apps, databases and APIs, dedupe and transform data, and execute on our cloud or a self-hosted runtime. Your agent can also validate and test flows, inspect run events, and build apps, forms, approval steps, and AI agents. Signup for a free Starter account here: https://www.neblex.com/signup
Managed cloud browser, browser automation, and web data extraction API for developers and AI agents. Remote HTTP MCP endpoint. Requires an AdsCrawl API key in the x-api-key header. Website: https://www.adscrawl.net
Build financial models as code. Cloud execution, GSheets MCP, version control, collaboration.
Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
Generate TIA Portal importable SimaticML (V19) from LadDoc IR, with strict validation, over MCP.
Cloud PLC simulator: validate and step-run LAD/SCL programs, run scenarios, return PASS/FAIL.
The cloud Mac alone, with Xcode, for AI agents: run commands, build and test, use the screen.
Everything NoMac in one server: the Mac, the cloud iPhone and the App Store.
Cloud iPhone Simulators for AI agents: build the Xcode project, read the screen, tap by label, test.
