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@sandboxapis/mcp

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      A deterministic eval engine for coding agents. Your agent claims it fixed the bug—this checks it. The same scenario runs twice against a sandbox of the services your code calls, with failures injected on purpose. It must fail on the old code and pass on the new. The verdict is an exit code, not a model's opinion. Every run leaves a receipt.
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    • A
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      Enables AI agents to explore and query a locally generated synthetic organization—with employees, teams, projects, documents, and relationships—through read-only MCP tools, facilitating agent testing, evaluation, and demos without external APIs.
      3
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    • A
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      Salesforce sandbox seeding, built for AI agents. SOQL-driven org-to-org record copy with automatic dependency-graph walking, cross-org FK remapping, and a hard AI-never-sees-your-data boundary.
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      Apache 2.0
    • A
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      Hosted MCP endpoint that returns realistic fake data for prototyping agents. Paste one URL into Claude Code, Cursor, or Claude Desktop — 12 pre-built tools covering users, products, orders, events, email, and knowledge base search. No signup, no config, no auth. Built for developers who want to prototype agent workflows before wiring up a real backend.
      MIT