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io.github.dachhack/stathead-mcp

NPM · STATHEAD-MCP · SCANNED SEP 20

Fantasy football analytics: stats, dynasty, projections, prospects, Sleeper leagues, Excel I/O

Available components

0 this week 90 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to dachhack/stathead). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 7 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability62
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 18336 tokens (~359/item across 51 items; 51 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
  • Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "clear_overrides" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 51 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.dachhack/stathead-mcp server?

io.github.dachhack/stathead-mcp runs locally as an npm package, launched with npx -y stathead-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · stathead-mcp

# add to Claude Code
claude mcp add dachhack-stathead-mcp -- npx -y stathead-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "dachhack-stathead-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "stathead-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "dachhack-stathead-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "stathead-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add dachhack-stathead-mcp -- npx -y stathead-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dachhack-stathead-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "stathead-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add dachhack-stathead-mcp --command npx --arg -y --arg stathead-mcp
# ~/.hermes/config.yaml
mcp_servers:
  dachhack-stathead-mcp:
    command: "npx"
    args: ["-y", "stathead-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "dachhack-stathead-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "stathead-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add dachhack-stathead-mcp -t stdio -c npx -a -y stathead-mcp
// mcp.json
{
  "mcpServers": {
    "dachhack-stathead-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "stathead-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 16 Sept 26 0
    • Stability: 0.97 → pass security
    • Security disclosure: unverified → fail functional
  • 15 Sept 26 +1
    • Security disclosure: fail → unverified functional
  • 13 Sept 26 +16
    • Malware scan: unverified → pass security
  • 12 Sept 26 −15
    • Malware scan: pass → unverified security
    • Stability: 0.83 → unverified security
    • Tool safety: pass → unverified security
    • Schema quality: 244 → 359 functional
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
    • Package version: 1.0.33 → 1.0.90 functional
  • 10 Sept 26 −2
    • Stability: pass → 0.80 functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed npm/stathead-mcp@1.0.90

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo dachhack/stathead
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/dachhack/stathead/.github/workflows/publish-mcp.yml@refs/heads/publish-mcp-now
Rekor log index 2806886504
Predicate type https://slsa.dev/provenance/v1
Subject digest sha512:cde53b4a14063bf8829460a9cb95855d2ac726904627ce63dad139853d874de94469da6ca449b2f228c124986d603592ff72f2f0713cbc05fc923af8e

Background: How many MCP packages publish verified provenance →

Dependencies 0 packages
Packages resolved 0
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 51 exposed · ~18,336 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_sleeper_user_snooper ~315

Scout a Sleeper user across all their leagues for a season: their league list plus cross-league player exposure — which players they roster in the most leagues (and start most), with the league names. Identify the user by username/user_id, OR by display_name + league_id (to scout a manager you just saw in get_sleeper_league). Use to see who a manager is heavily invested in. Source: Sleeper public API. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
display_namestringManager's in-league display or team name; requires league_id.
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
league_idstringAlternative to username: with display_name, resolves a manager seen in a league to their user_id.
limitnumberMax players in the exposure table (default 40).
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
positionstringFilter exposure to one position (QB, RB, WR, TE).
seasonnumberNFL season (default 2026).
usernamestringSleeper username or user_id.

No output schema declared.

No examples provided.

get_sleeper_waiver_wire ~256

Find the best available (un-rostered) free agents in a Sleeper league. Cross-references the league's rostered players against all NFL players, then joins Sleeper trending-add counts and StatHead's projected PPG, ranked by waiver interest. Use for waiver-wire and streaming decisions. Source: Sleeper public API + StatHead projections. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
league_idstringyesSleeper league id.
limitnumberMax players (default 40).
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
positionstringFilter by position (QB, RB, WR, TE, K, DEF).
sort_bystringSort column: trending (default, recent add count) or ppg (StatHead projection).

No output schema declared.

No examples provided.

get_snap_counts ~193

Get offensive/defensive snap count percentages by player per week. Use for workload analysis, role changes, snap share trends. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
limitnumberMax rows (default 50)
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
player_namestringFilter by player name
positionstringFilter by position
seasonnumberyesNFL season year (2012+)
teamstringFilter by team abbreviation

No output schema declared.

No examples provided.

get_team_metrics ~272

Get comprehensive team-level analytics for a season. Computed from play-by-play data. Offense: pass rate, neutral-script pass rate, EPA/play (total/pass/rush), success rate, yards/play, red zone TD rate, shotgun rate, deep pass rate, pace. Defense: EPA/play allowed (total/pass/rush), defensive success rate. Context: points scored/allowed, point differential, turnovers. Returns one row per team (32 teams). Use for team evaluation, matchup analysis, scheme identification. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
seasonnumberyesNFL season year
sort_bystringSort by any metric (descending). Common: total_epa_per_play, ppg, success_rate, neutral_pass_rate, def_epa_per_play
teamstringFilter to a specific team abbreviation

No output schema declared.

No examples provided.

get_trades ~203

Get historical NFL trades. Shows which teams gave/received players and draft picks, including pick round, number, and conditional status. Use for trade history, draft capital analysis, team-building strategies. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
limitnumberMax rows (default 50)
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
player_namestringFilter by traded player name
seasonnumberFilter to trades in this season
teamstringFilter to trades involving this team (gave or received)

No output schema declared.

No examples provided.

get_weekly_projections ~1,287

StatHead's first-party PER-WEEK fantasy projections for 2026 — the season projection (get_projections) split across the schedule: each week = season PPG × a scoring-environment term × the opponent's position-specific deviation, normalized so the 17 games sum back to the season line. Where a market line is published, the environment term is the implied team total (blended 60% against def-vs-pos team strength, home field already priced in); elsewhere it is def-vs-pos team strength × a home/away nudge. An implied total predicts a team's actual points at RMSE 9.13 versus 10.16 for prior-season scoring and 10.20 for current-season-to-date, so where the market has spoken it replaces what we knew rather than supplementing it. 2026 lines currently cover weeks 1-7, 9-12 and 16 and fill in as books post them. Two modes: pass week (1-18) for that week's matchup-adjusted rankings (opponent, matchup %, projected points), or pass player_name alone for one player's full week-by-week outlook including the bye. Covers QB/RB/WR/TE plus kickers (current depth-chart PK1, position K), team defenses (position DST, name "<TEAM> DST", sleeper_id = team code) and individual defensive players (positions DL, LB, DB — the top 96 of each bucket by default-catalog points, which keeps pass rushers whose value is sacks rather than tackles). IDP weekly points come from the season component build split across the schedule, so the weekly feed and the season board quote one number. Expect the IDP matchup swing to be SMALL — a few percent, and near zero for DB: how much an offense concedes to a defensive bucket varies 29-43% within a season but barely repeats across one (yoy r = +0.25 DL, +0.24 LB, +0.08 DB), so the multiplier is shrunk to what persists. It sharpens in-season as current-year weeks blend in. In-season, the latest weekly injury designations are applied in week mode (Out/IR → 0, Doubtful ×0.25, Questionable flagged) via an availability column, AND the vacated production is handed to the…

NameTypeReqDescription
fieldsstringComma-separated column names to return (projection), e.g. "player_name,games,fantasy_points_ppr". Omit to return all columns. Unknown names are ignored.
limitnumberMax players (default 50).
output_formatstringOutput format: "table" (default markdown), "csv", or "jsonl". Use csv/jsonl for compact, token-efficient output on large pulls.
player_namestringFilter to one player. Without week, returns their all-18-weeks outlook. DSTs match by team name (e.g. "SEA DST").
positionstringFilter by position: QB, RB, WR, TE, K, DST, or the IDP buckets DL, LB, DB.
scoringstringScoring format for the points columns. tep0.5/tep1.0 add a TE-premium bonus per TE reception (exact, from recPG). Default ppr.
teamstringFilter to one NFL team abbreviation (e.g. DET).
weeknumberNFL week (1-18) to rank. Omit together with player_name for a player's full-season strip; omitting both defaults to the current week (the first week whose games are not all final).

No output schema declared.

No examples provided.

import_excel ~136

Read back an .xlsx workbook that you exported with export_excel and (optionally) edited, and save your custom values as overrides. After import, get_projections / get_fantasy_rankings / get_prospect_outcomes automatically use YOUR Proj PPG and rankings (flagged in the output) until you run clear_overrides. The workbook kind is auto-detected from its Meta sheet. Returns a summary of what was applied. See also: get_metadata for season coverage, valid enums, and analytic caveats.

NameTypeReqDescription
pathstringyesPath to the .xlsx file to import (the one you exported and edited).

No output schema declared.

No examples provided.

Common questions

What is the io.github.dachhack/stathead-mcp server?

io.github.dachhack/stathead-mcp is listed in the public MCP registry as io.github.dachhack/stathead-mcp. Fantasy football analytics: stats, dynasty, projections, prospects, Sleeper leagues, Excel I/O. This page covers its npm package (stathead-mcp).

Is the io.github.dachhack/stathead-mcp server safe to use?

io.github.dachhack/stathead-mcp scores 90 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.dachhack/stathead-mcp server expose?

io.github.dachhack/stathead-mcp exposes 51 tools: get_metadata, get_player_season_stats, get_player_weekly_stats, get_games, get_snap_counts, and 46 more. Their descriptions and schemas cost roughly 18,336 tokens of context every time the server is loaded.

Is the io.github.dachhack/stathead-mcp server still maintained?

io.github.dachhack/stathead-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.dachhack/stathead-mcp server under?

io.github.dachhack/stathead-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.