doings-evidence-mcp
Related Servers
Alternatives to doings-evidence-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMCP server for verifying claims against evidence using natural language inference, providing verdicts like Supports, Refutes, or Not Enough Evidence.324 npm1MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that verifies whether a claim is actually supported by the source text at a given citation — independent of what the calling LLM asserts.MIT
- AlicenseAqualityCmaintenanceMCP server for Tru8 Evidence Research that enables AI agents to submit claims or URLs and receive source-traced evidence organized by tier and type with element decomposition and relationship mapping.3MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that enforces evidence-graded, phase-gated, peer-reviewed research workflows for AI agents to conduct rigorous decision-making.MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for Claude Text Lab, enabling fact-preserving regeneration of Claude-generated text through inspect, sanitize, audit, rewrite, and benchmark operations, with auditable local quality gates and an unverified provenance verdict.2MIT
- FlicenseNot gradedqualityCmaintenanceA standalone MCP server that validates model output against retrieved sources. It flags any claim, statistic, attribution, quote, or URL that cannot be traced back to a real source.-
TDQS
Scored across 15 tools
Most tools have clearly distinct purposes, such as critique_claim for research-intensive assessment vs. critique_org_text for user-facing text. However, can_we_say_this and make_client_safe both deal with safe wording, creating minor ambiguity.
The majority follow a clear verb_noun pattern (e.g., analyze_org_argument, fetch_doings_document). Exceptions like can_we_say_this (a phrase) and think_with_evidence (slightly different) are minor deviations.
With 15 tools, the set covers a broad domain of evidence-based consulting without being overwhelming. Each tool addresses a specific need, from argument analysis to evidence searching.
Core workflows are well-covered: claim analysis, evidence rating, internal and external searches, and text rewriting. Missing potentially useful features like document editing or report synthesis, but these are outside the stated scope.