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§ MCP · Model Context Protocol

Give an agent the whole record

Every number and quote on these pages comes from a live query, and the same record is open to AI agents through a Model Context Protocol server. Add it as a connector and your agent can search every passage, read every topic and every submitter, compare what each sector says and follow every claim to its evidence document.

Add it as a connector

Connector URLhttps://insightbridge-trainingdata.aicolab.org/mcp

This report is public: no authentication is required.

Claude — personal accounts (Free, Pro and Max)
  1. Open Customize → Connectors.
  2. Click +, then Add custom connector; name it and paste the URL above.
  3. Leave Advanced settings empty and click Add.
  4. In a chat, click +, open Connectors and switch it on for that conversation.

Connectors are account-wide: added once, there in Claude on the web, desktop and mobile. Claude's connector guide →

Claude — organisation accounts (Team and Enterprise)

On Team and Enterprise plans only an organisation owner can add a custom connector; members do not see the option.

  1. An owner opens Organisation settings → Connectors and adds a custom web connector with the URL above.
  2. No authentication is required for this public report.
  3. Each member connects it from their own connector settings and switches it on in a chat.

Custom connector administration →

ChatGPT — custom MCP app
  1. Turn on Developer mode in Settings → Apps → Advanced settings, where your plan offers it; a workspace may need an administrator.
  2. Open Apps → Create and enter the URL above.
  3. Choose No authentication, scan the tools and create the app.
  4. Select the app in a conversation and ask about the record.

OpenAI's setup guide →

Microsoft 365 Copilot — via Copilot Studio
  1. Open an agent in Copilot Studio, then Tools → Add a tool → New tool → Model Context Protocol.
  2. Enter a name, a description of this record and the URL above. Choose None for authentication.
  3. Create the connection and add it to the agent. Test a question, then publish it.

Microsoft's connection guide →

Claude Code

Add the report as a remote HTTP server:

claude mcp add --transport http insightbridge-aph-ai https://insightbridge-trainingdata.aicolab.org/mcp

Run /mcp in Claude Code to check the connection. Claude Code's MCP guide →

Then ask: “Using Training Data, which topics have the widest reach, where do submitters differ, and what verbatim quotes support their positions?”

Transport: Streamable HTTP, stateless JSON-RPC over POST https://insightbridge-trainingdata.aicolab.org/mcp. The endpoint answers each request with JSON and keeps no SSE stream open.

How to read what comes back

  • Counts describe this record. These are the submitters in it, who wrote to the inquiry or gave evidence at its hearings; "N submitters say X" measures the record, never a wider population.
  • Positions are relative to each topic's own proposition. Supports, Builds on, Mixed, Redirects, Opposes, Unclear measure a stance toward one framing, not agreement with the report or with each other.
  • One lens: Sector. Perspectives compare what each value of it says; the tools that take it list its values.
  • Use the ids the tools return. topic_id is the topicClusterId a topic tool returns; submitter and evidence document tools return the ids their detail tools take.
  • The terms of reference are answered per document. An unanswered clause means no answer was located in the available text, never that a submitter has no view; merely quoting the terms does not count.
  • One evidence document is partly unreadable in the published original. It carries extraction_quality = limited_by_source and its text is partial; the Method page names it.

Try the tools

Choose a tool, adjust its inputs and call the live server: the exact request an agent makes. The tools, their inputs and their example values come from the server itself.

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