Open-End Response Analyser – coding of open-ended survey answers

Connect Remote server

claude mcp add --transport http open-end https://mcp.open-end.surveysai.com/mcp

{
  "mcpServers": {
    "open-end": {
      "url": "https://mcp.open-end.surveysai.com/mcp"
    }
  }
}

{
  "servers": {
    "open-end": {
      "type": "http",
      "url": "https://mcp.open-end.surveysai.com/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://mcp.open-end.surveysai.com/mcp

Tools 11 found in our last check

• open_end_get_capabilities

  Describes Open-End Response Analyser: AI coding of open-ended survey responses into a three-level category hierarchy (L1-L3, a code frame), assignment of every response, results and exports. Returns the workflow, input limits, current analysis models, how to authenticate and how…

• open_end_get_pricing

  Returns the credit price list (1 credit = 1 valid response, charged once per project) and, with 'responses', how many credits an analysis of that many responses costs and the smallest sufficient credit package. Use it for price questions like 'how much does it cost to analyse 30…

• open_end_get_account

  Returns the signed-in Open-End account (username, e-mail), its credit balance (balance, reserved by running analyses, available) and the scopes of the credential in use. Use it for 'how many credits do I have', before suggesting a paid analysis, or to check which account the con…

• open_end_list_projects

  Lists the analysis projects the user already has (id, name, response count, whether credits were charged), newest first. Use it to find a project id when the user refers to earlier or previously coded surveys by name, e.g. 'which projects do I have' or 'the NPS comments from las…

• open_end_get_project

  Returns one project: research question, dataset (response counts), category hierarchies and the latest runs with their status. Use it to check what has already been done in a project before starting anything. Requires OAuth or an API key.

• open_end_estimate_analysis

  Returns the credits the analysis of a project's responses will cost, whether credits were already charged, the user's available balance and the model and effort that will run. Always call it and show the user the price and model before open_end_start_run with type='hierarchy'. C…

• open_end_get_run

  Polls an analysis run started by open_end_start_run: status (pending, running, completed, failed), progress, stalled flag, error code and, when completed, the hierarchy_id for results. Runs take minutes; wait next_poll_after_seconds (10-30 s) between polls. Requires OAuth or an…

• open_end_get_results

  Returns the finished code frame of a project: the L1-L3 category tree with descriptions, examples and how many responses fall into each category, plus summary counts and download URLs for XLSX/JSON/Markdown/DOCX exports (files are downloaded from the REST API with the same Beare…

• open_end_create_project

  Creates an empty analysis project with a name and optionally the research question and context that guide the coding, and the output language of category names. Next step: open_end_add_responses. Creates nothing billable. Requires OAuth or an API key with projects:write.

• open_end_add_responses

  Imports the open-ended responses (free-text answers or comments) of a project as JSON rows {id, text} (max 2000 rows per project via MCP, max 5000 characters each; empty texts are skipped as invalid). A project holds one set of responses; for larger files or an .xlsx upload use…

• open_end_start_run

  Starts an AI analysis job that finds the themes in the responses. type='hierarchy' builds the L1-L3 category hierarchy and CHARGES CREDITS (1 per valid response, once per project); type='categorization' assigns every response to the hierarchy (no extra charge). Call only after t…

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