A
licenseB
qualityD
maintenanceEnables users to maintain append-only content history with verified publication and social follow-through outcomes, search for overlaps, and run read-only integrity verification of stored snapshots.
16
MIT
What Brandon Thinks Chat MCP
by gpt-img-2
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@What Brandon Thinks Chat MCP build a neutral chat analysis brief for this conversation"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
What Brandon Thinks Chat MCP
Privacy-aware, deterministic, read-only MCP tools and an OpenClaw Skill for chat-analysis briefs, aggregate interaction signals, evidence-aware claim audits, and canonical What Brandon Thinks resource discovery.
This project does not upload transcripts, call an AI provider, access accounts, purchase reports, diagnose people, or prove private intent. What Brandon Thinks is independent and is not affiliated with WhatsApp, Meta, Apple, or iMessage.
Install
npx -y github:gpt-img-2/whatbrandonthinks-chat-mcpRelated MCP server: market-research
Tools
build_chat_analysis_briefscore_interaction_signalsaudit_chat_claimget_what_brandon_thinks_resources
OpenClaw
openclaw mcp add what-brandon-thinks \
--command npx \
--arg -y \
--arg github:gpt-img-2/whatbrandonthinks-chat-mcpThe Skill source is in openclaw/what-brandon-thinks-chat-analyst.
Development
pnpm install
pnpm validateCanonical product resources: whatbrandonthinks.org/llms.txt
Available Tools
4 toolsaudit_chat_claimAudit a chat interpretation claimBRead-onlyIdempotent
Check whether a proposed interpretation includes user-supplied evidence, reasonable alternatives, missing context, calibrated confidence, and falsifying checks.
Inputs: claim (required), missingContext, evidenceExcerpts, alternativeExplanations.
build_chat_analysis_briefBuild a privacy-aware chat analysis briefARead-onlyIdempotent
Structure a focused WhatsApp or iMessage analysis question, participant aliases, known gaps, privacy blockers, and an evidence plan without uploading a transcript.
Inputs: platform (required), focusedQuestion (required), consentConfirmed (required), participantAliases (required), +4 more.
get_what_brandon_thinks_resourcesGet What Brandon Thinks resourcesBRead-onlyIdempotent
Return canonical What Brandon Thinks workflow, example, relationship, or safety resources without fetching external content.
Inputs: topic.
score_interaction_signalsSummarize aggregate interaction signalsARead-onlyIdempotent
Calculate transparent shares and rates from user-supplied aggregate counts without scoring affection, intent, compatibility, or personality.
Inputs: participants (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
A3.8/5.0
Scored across 4 tools
Disambiguation4/5
Each tool targets a distinct action: resource retrieval, brief construction, signal scoring, and claim auditing. However, build_chat_analysis_brief and audit_chat_claim both involve evidence and gap assessment, which could cause slight confusion in deciding between planning and validation.
Naming Consistency5/5
All tools use snake_case with a verb-first pattern (get_, build_, score_, audit_). The longer noun phrase in get_what_brandon_thinks_resources is the only variation, but it remains consistent with the overall convention.
Tool Count5/5
Four tools is well-scoped for this specialized chat-analysis workflow. Each tool covers a distinct step without redundancy, fitting comfortably within the ideal 3-15 range.
Completeness5/5
The tool set covers the full analytical lifecycle: retrieving reference resources, structuring a privacy-preserving brief, calculating interaction signals, and auditing a proposed interpretation. No obvious gaps exist for the stated privacy-focused domain.
Maintenance
ActivitySlowing
ResponsivenessOutdated data
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