Spring Prompt

Reliability

Status and outage history · Atom feed · Watch with other listings

How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "spring-prompt": {
      "type": "http",
      "url": "https://springprompt.com/mcp"
    }
  }
}

12 tools

• get_started

  Where this account stands: credit, when free credit ends, prompts waiting to be tested, tests so far, and what to do next. Free.

• load_prompts

  Load prompts and their examples into the account for the person to review and run. Spends nothing. Returns a link to show them.

• run_loaded_prompt

  Test a prompt from load_prompts, using its cases and checks and drafting any that are missing. Spends credit, never more than max_spend_usd by estimate. Call get_test for the results.

• test_prompt

  Start a test of one prompt across several models. Spends credit, never more than max_spend_usd by estimate. Returns at once with a test_id: call get_test for the results. Cases and checks are drafted if left out.

• get_test

  A test's status and, when done, what it found: the best model, each model's pass rate and cost, and sample failures.

• improve_prompt

  Rewrite a finished test's prompt from its failures and ratings, then test the new version on the same cases, checks and models. Spends credit.

• list_tests

  This account's recent prompt tests.

• list_models

  Models a test can use, with prices, and the credit left on this account.

• rating_link

  A link that lets anyone rate a test's answers on their phone, with no account and the models hidden. Send it to whoever knows what good looks like. Anyone with the link can read those answers and inputs, so ask before sharing.

• train_judge

  Train a judge on a test's ratings. It's tested on answers it hasn't seen, and only kept if it beats always giving the commoner verdict. Spends a little credit.

• list_judges

  This account's trained judges, and how often each agreed with its rater.

• score_answers

  Score up to 50 answers with a trained judge: how likely the person it learned from is to call each one good, from 0 to 1. Spends a little credit.

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