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wet-mcp
Perform structured web research and content extraction: compare alternatives with weighted criteria, verify claims via adversarial search, orchestrate multi-site research, and pin dependencies for version-specific documentation. Integrates with OpenAI, Gemini, and other AI providers for LLM queries and embeddings.
What's Inside
Skills4
compare
/compare
Structured comparison of 2+ alternatives with consistent criteria and decision matrix
fact-check
/fact-check
Verify a claim using adversarial search — find both supporting AND contradicting evidence
lock-project-stack
/lock-project-stack
Detect a project's manifest (pyproject.toml / package.json / go.mod / Cargo.toml), pin its library set into wet-mcp's Cabinets project_context, then route subsequent docs queries to the locked versions automatically.
research-topic
/research-topic
Multi-step research orchestration. Use when user asks "research X", "summarize current state of Y", "what's the latest on Z", or compares approaches. Calls extract(action="agent") which searches the web, extracts top results, then synthesises a citation-preserving Markdown answer with one configured LLM.
MCP Servers1
Setup
Configuration
This plugin requires configuration values that are prompted when the plugin is enabled. Sensitive values are stored in your system keychain.
Stats
Version3.3.0-beta.17
Released
LanguagePython
Stars10
Forks4
MaintenanceExcellent
LicenseMIT
Last Commit
Added
Safety Signals
Caution
Requires secrets
Needs API keys or credentials to function
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