Independent trust grade B+ (87/100). Static analysis of npm package @inferensys/contextful@0.1.0 (stdio server — no remote endpoint). Reliability/behavioral signals require running it; not measured. wmcp.sh continuously watches npm:@inferensys/contextful for tool drift and rug-pulls. The grade is free and identical whether or not the operator pays.
context_packReturn a ranked, cited, token-budgeted context pack so the agent can avoid broad file reads.
search_codeSearch code, docs, symbols, and stored context with lexical, symbol, and graph-aware ranking.
trace_pathTrace graph relationships between files, symbols, modules, and config nodes.
impact_analysisFind likely dependents and tests for a file, symbol, or module.
why_changedExplain why a file or symbol may have changed by combining current evidence with git history.
recall_memorySearch the evidence-backed memory ledger for lessons that survived previous agent sessions.
write_lessonWrite an evidence-backed lesson to the memory ledger. Loose remember-this notes are rejected.
We re-grade npm:@inferensys/contextful on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.
Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:
https://wmcp.sh/mcp/trust
readOnly vs observed behavior) layer on via the wmcp.sh proxy.