Tru8 Evidence Research
io.github.SamYatesSmith/tru8 · v1.0.4
Source-traced evidence research for AI agents. We organise the evidence; you decide.
MCPremotelocal · pypiAPI keyAnalytics & marketingNewsResearch & education
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 88/100
What it does: 3 tools · 2 read, 1 write · Maps & location, Analytics & marketing, Web search & scraping
No tool could be tested safely. Only read-only tools that need no input are called.
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://api.trueight.com/mcp/Package
registry: pypi
identifier: tru8-mcp
version: 1.0.3
transport: stdioTools
3 tools listed at last check
tru8_checkEvidence research for a factual claim or article URL. Submit a claim as text or paste an article URL. URLs are auto-detected and trigger article mode: the pipeline extracts claims from the page and auto-selects up to 5 for evidence research. Tiers (in fallback order): - lookuptru8_get_resultRetrieve a previously submitted check with pre-computed analytics. Returns the full result including a _computed block with tier/type distributions, corroboration groups, diagnostic values, timeline analysis, element state summaries, and per-claim dispositions. Use this over tru8_gtru8_get_result_rawRetrieve a previously submitted check without computed analytics. Returns claims, elements, evidence, and claim maps only. No _computed block. Smaller response payload. Use this when you will compute your own aggregations or only need specific fields from the raw data.
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Markdown for your README
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