Pod

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

Ramly MCP Server

Ramly brings reliability, availability and maintainability (RAM) engineering into Claude. Describe a plant, process or fleet and Claude builds the reliability block diagram (series, k-out-of-n, standby), sets failure and repair distributions, and runs Ramly's discrete-event Monte Carlo simulator or its exact analytical/Markov solver on your Ramly account.

What you can do: • Estimate system availability, annual downtime and the P10–P90 spread • Find the components that drive downtime (importance and sensitivity rankings) • Size spare parts, repair crews and preventive-maintenance intervals • Calculate PFD and SIL for safety-instrumented functions with proof testing • Compare design options side by side (redundancy, spares,maintenance strategy) • Get instant closed-form estimates for quick sanity checks

Models and results are saved in your Ramly workspace, where youcan open full charts and generate PDF/Word reports. Requires a Ramly account (sign in with OAuth). Each study uses one runcredit from your plan; quick estimates are free. Disconnect any time from Account → Connected AI apps on ramly.io.

Publisher claimed. 12 tools reported by the publisher. Pod has not connected to this server, so nothing here is verified.

Categorised under productivity, data-analytics. Published by ramly.io.

At a glance

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

Documentation: Open docs

Status

Pod has not dialled Ramly yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Tools

Its publisher lists 12 tools. Pod has not verified these against the live server yet.

Show all 12 publisher-reported tools

Connect

A hosted endpoint at https://mcp.ramly.io/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "ramly": {
      "type": "http",
      "url": "https://mcp.ramly.io/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Ramly 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 Ramly, 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": "Ramly",
  "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=Ramly' \
  --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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