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Alternatives to Truthound

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    • A
      license
      A
      quality
      C
      maintenance
      MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.
      1
      1
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Local-first MCP server for data quality that finds suspicious data, explains findings with evidence, tracks drift, and supports human-approved, reversible repair workflows. Deterministic by default, with AI optional.
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      490 PyPI
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Local MCP server for AI agents and vibe coding safety: deterministic risk checks (payments, auth, database, secrets, infrastructure), sessions, checkpoints, policy inspection, and fix prompts. Runs over stdio against a local git repository; no language model judges risk.
      8
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      A typed stdio/HTTP MCP server that lets agents drive governed portfolio-company data onboarding: profiling sources, inferring entities and joins, proposing canonical mappings, generating and sandbox-testing dbt artifacts, and publishing only human-certified results. It exposes agent and reviewer-only tools, tenant-scoped run/ontology/evidence resources, and guided prompts, keeping every calculation deterministic and every approval with a human.
      12
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Zero-dependency MCP server and CLI for token-efficient inspection of local CSV/JSON/JSONL files, providing schema, samples, and paginated filtered queries to AI agents.
      MIT