{"id":29650,"recorded_at":"2026-10-26T14:36:01.339273Z","observed_at":"2026-10-26T14:36:01.339236Z","subject_kind":"source_record","subject":"mcp_registry:io.github.Meador793/stats-explorer-mcp","kind":"listing","method":"baseline/1","body":{"endpoints":[["web","https://github.com/meador793/stats-explorer-mcp"]],"name":"Stats Explorer","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-10-24T17:30:33.464996Z","status":"active","statusChangedAt":"2026-10-24T17:30:33.464996Z","updatedAt":"2026-10-24T17:30:33.464996Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Verified statistics for AI agents: guided tests, A/B tests, Tukey HSD, reports, optional Jev checks.","icons":[{"mimeType":"image/png","sizes":["256x256"],"src":"https://raw.githubusercontent.com/meador793/stats-explorer-mcp/main/vscode-extension/media/icon.png"}],"name":"io.github.Meador793/stats-explorer-mcp","packages":[{"environmentVariables":[{"description":"Folders the tools may read data files from and write reports to (separated by : on macOS/Linux, ; on Windows). Defaults to the client's workspace roots, or the current directory.","format":"string","name":"STATS_EXPLORER_ROOTS"},{"default":"512","description":"CSV/TSV/Parquet files above this size (MB) are streamed in parallel passes; any size works. Default 512.","format":"number","name":"STATS_EXPLORER_STREAM_MB"},{"description":"Parallel readers for large files. Default: all CPU cores but one (max 16).","format":"number","name":"STATS_EXPLORER_WORKERS"},{"choices":["ask","on","off"],"default":"ask","description":"Keep columns read from large files for fast follow-up questions: ask (default), on or off.","format":"string","name":"STATS_EXPLORER_CACHE"},{"description":"Folder for saved large-file columns. Default: the system temp folder.","format":"string","name":"STATS_EXPLORER_CACHE_DIR"},{"description":"Refuse data files larger than this (MB). Default: no limit.","format":"number","name":"STATS_EXPLORER_MAX_FILE_MB"},{"choices":["on","off"],"default":"on","description":"on (default): classify each request and follow the six-step workflow for hypothesis tests. off: expose the individual test tools directly.","format":"string","name":"STATS_EXPLORER_GUIDED"},{"choices":["on","off"],"default":"on","description":"on (default): the user confirms every column, chart type and report section before anything runs. off: run with the AI's choices.","format":"string","name":"STATS_EXPLORER_CONFIRM_SELECTIONS"},{"choices":["auto","chat"],"default":"auto","description":"auto (default): forms where the client supports them. chat: always ask in the conversation (recommended for Claude Code).","format":"string","name":"STATS_EXPLORER_CONFIRM_VIA"},{"description":"Set to 1 to remove the one-line Stats Explorer app link from results.","format":"string","name":"STATS_EXPLORER_HIDE_LINK"},{"choices":["off","cooperate","enforce","orchestrated"],"default":"off","description":"Independent checks by Jev (TypeSafe): off (default), cooperate (the AI calls your Jev MCP server), enforce (Stats Explorer calls the Jev API) or orchestrated (signed decisions from an orchestrator).","format":"string","name":"STATS_EXPLORER_JEV"},{"default":"plan,conclusions","description":"Comma list of plan, conclusions, data. Default plan,conclusions (data sends column names and text samples to Jev).","format":"string","name":"STATS_EXPLORER_JEV_CHECKPOINTS"},{"description":"Enforce mode only: TypeSafe API key Stats Explorer uses to call Jev.","format":"string","isSecret":true,"name":"TYPESAFE_API_KEY"},{"description":"Orchestrated mode only: shared secret (32+ characters) the orchestrator signs decisions with.","format":"string","isSecret":true,"name":"STATS_EXPLORER_APPROVAL_SECRET"},{"description":"Path of a JSON Lines file recording every Jev checkpoint decision.","format":"string","name":"STATS_EXPLORER_AUDIT_LOG"}],"identifier":"stats-explorer-mcp","registryType":"npm","transport":{"type":"stdio"},"version":"1.5.1"}],"repository":{"source":"github","url":"https://github.com/meador793/stats-explorer-mcp"},"title":"Stats Explorer","version":"1.5.1","websiteUrl":"https://github.com/meador793/stats-explorer-mcp#readme"}},"source":"mcp_registry","summary":"Verified statistics for AI agents: guided tests, A/B tests, Tukey HSD, reports, optional Jev checks."},"body_sha256":"876e62449f78c35a8bb1a45ec2f898082ac0a2069dac4ea2a764701ffb58f69b","prev_id":null,"leaf":"0x5505b63249869c27b35a865f1e226ade10bb1fb3bfcc2bf32d1a12b34f673069","leaf_text":"{\"body\":\"876e62449f78c35a8bb1a45ec2f898082ac0a2069dac4ea2a764701ffb58f69b\",\"id\":29650,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025361339236,\"prev\":null,\"subject\":\"mcp_registry:io.github.Meador793/stats-explorer-mcp\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-26","leaves":296695,"root":"0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8","chained":"0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a","anchor_chain":"eip155:5042002","anchor_tx":"0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae","anchor_block":69251483},"proof":["0x5505c5ed19340062326cb312a8f21287ccce3ca3cbbc98a24d9473c6aeb5a60d","0xb009d54ddbf2570deed862e77d87bd498a74c4d038971d82338e8489d5b7ee10","0xfd5c1fd2e3ab6161f9b7c4912c4efdef47fea2c6930e838328bd7d0a1b4d9bf2","0x4c8532997def139b103a24d90ed76d5cced16f39d0524b2d35bcb192f1e5f1b0","0xc50fc061f3d92143d1ee5c242831ad7bec82c00b6bea7021be9d00512f9e7caf","0x03a53983628e5bc7e36883a4b262f9feba8d0c3f845d0f244d17949ff3a73db1","0x8367821b0b31236877d15b95301fa2c3423640129c7f971b3e17a5259d5223ca","0x63b713f1961c59ff6c50b4268a9376c0f3143f48636d1a9456a31ce4fb1e9f39","0x676d16479f4b0971511125f567e45fd6b7f3901b33f7d8229532f348fd0c04eb","0x8e8c9b31337ede7207f8e4fe9c7366ca7f86d7b9cb07433912898a3bd07a6373","0xec824c3c9c635c0935294afc42b42d41176d63a67e608b45abf49b05e262e664","0x774d66905c34a786c6d34bf1c4491dbdb08f534c9eb5f76cf3de03385d28f388","0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246","0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167","0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497","0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0","0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d","0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}