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KYVAutoResearch2MCP

by kyvjyf

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Makes AI research agents accountable by giving every conclusion a traceable argument graph. Provides a persistent argument graph where claims require grounds and warrants for auditable, verifiable reasoning.
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables users to conduct inspectable research with native Codex or Claude providers, producing locally saved dossiers with source-linked findings, evidence levels, falsifiers, limitations, and recorded retrieval events.
      3 npm
      2
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.
      47
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables agents to search and reference trusted, out-of-band ingested source state, run claim-bound document reviews, validate evidence-status proposals against admissibility guards, and build evidence matrices. It keeps proposal, evidence, admissibility, and adjudication separate so agents can propose epistemic statuses without creating the source facts, page locators, provenance, or missingness records that support them.
      5
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Gives any MCP client 27 tools for turning scattered feeds, forums, and media into a persistent, searchable evidence corpus, so an agent can search and import evidence, verify claims with independent-source counting and citation checks, and run multi-round research that produces cited, revisable reports. It also supports adaptive retrieval widening, tiered evidence where only author-written sections count as sources, and honest degradation when no LLM key is available.
      27
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.
      9
      3
      Apache 2.0