Pod

Available as Markdown and JSON. Pod is also available over MCP.

optimo MCP Server

Optimo IoT is a cloud platform for monitoring industrial assets: gateways installed on-site collect data from PLCs, meters and sensors (Modbus, Siemens S7, LoRaWAN, Node-RED and more) and stream it to the cloud, where it is visualised, aggregated and turned into reports and alarms.

This connector gives Claude read access to that data, so you can ask questions in plain language instead of building a dashboard or querying the HTTP API:

Typical uses: compare energy consumption across machines or shifts, investigate a production stop by correlating timeseries with maintenance events, summarise downtime, or pull figures for a weekly report.

Access is authorised via OAuth against your cloud.optimoiot.it account, and you only see the assets your account already has permission to view. The server is read-only: it cannot change configuration or write data to the platform.

Authorization required. Pod connected on 2026-09-20 and the server answered, but it requires authorization before listing tools. The 8 tools below remain publisher-reported and unverified.

Categorised under data-analytics, other. Published by optimoiot.it.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to optimo on 2026-09-20. It answered, but requires authorization before it will list its tools, responding in 610ms.

Why the tool list is not verified

optimo refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 8 tools. Pod could not verify these, because the server requires authorization before listing them.

Connect

A hosted endpoint at https://mcp.cloud.optimoiot.it/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "optimo": {
      "type": "http",
      "url": "https://mcp.cloud.optimoiot.it/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used optimo yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find optimo, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "optimo",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=optimo' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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