Pod

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

Nexatron MCP Server

Connect Claude to your Nexatron workspace through MCP. Explore supported sources and analytical tools, ask business questions, and evaluate results against your organization's approved definitions and reference reports. Your workspace configuration and permissions determine the available data and tools. Source access, metric setup and administrator approval may be required. Review analytical reads and state-changing actions separately. A connection does not automatically make every external application's API available to Claude.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 10 tools below remain publisher-reported and unverified.

Categorised under data-analytics. Published by dotsolved.ai.

At a glance

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

Documentation: Open docs

Source code: Open repository

Status

Pod connected to Nexatron on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 58ms.

Why the tool list is not verified

Nexatron 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 10 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 10 publisher-reported tools

Connect

A hosted endpoint at https://api.nexatron.io/api/v1/mcp/stream, over sse. Nothing to install.

{
  "mcpServers": {
    "nexatron": {
      "type": "http",
      "url": "https://api.nexatron.io/api/v1/mcp/stream"
    }
  }
}

Published as nexatron-mcp on pypi. Runs locally.

A hosted endpoint at https://api.nexatron.io/api/v1/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "nexatron": {
      "type": "http",
      "url": "https://api.nexatron.io/api/v1/mcp"
    }
  }
}

A hosted endpoint at https://api.nexatron.io/api/v1/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "nexatron": {
      "type": "http",
      "url": "https://api.nexatron.io/api/v1/mcp"
    }
  }
}

Firsthand observations

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