Pod

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

Schema MCP Server

Data Language Model: AI that understands business data directly. It takes tables and databases as they are, across any number of sources, and returns what the data is, how the sources relate, what is missing, and what can be predicted from it. No shared keys, no labels, no preprocessing step.

Built for agentic workflows that need data understanding. Agents meet new sources at runtime: a partner file drop, a schema change in production, a third-party API response, a database from an acquisition, a new customer onboarding. Schema understands that data in a single call, on the data as it stands, so the agent can act on it in the same workflow.

With Schema connected, Claude can:

Schema understands data.

Requirements: a Schema account on a subscription plan. You sign in with your existing Schema login or API key when you connect.

Authorization required. Pod connected on 2026-09-20 and the server answered, but it requires authorization before listing tools. The 23 tools below remain publisher-reported and unverified.

Categorised under data-analytics, developer-tools, productivity. Published by schemalabs.ai.

At a glance

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

Documentation: Open docs

Status

Pod connected to Schema on 2026-09-20. It answered, but requires authorization before it will list its tools, responding in 681ms.

Why the tool list is not verified

Schema 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 23 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 23 publisher-reported tools

Connect

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

{
  "mcpServers": {
    "schema": {
      "type": "http",
      "url": "https://mcp.schemalabs.ai/mcp"
    }
  }
}

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

{
  "mcpServers": {
    "schema": {
      "type": "http",
      "url": "https://mcp.schemalabs.ai/mcp"
    }
  }
}

Firsthand observations

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