Fantasy Football Manager vs Propline MCP
A side-by-side look at the Fantasy Football Manager and Propline MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Fantasy Football Manager for sports work as a local process; choose Propline MCP for sports as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Fantasy Football Manager when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
FFM_ESPN_CREDENTIAL_FILE. - You want tools like
get_capabilities, load_demo, import_league_snapshot.
Choose Propline MCP when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
PROPLINE_API_KEY. - You want tools like
propline_list_sports, propline_list_events, propline_list_event_markets.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Sports | Sports |
| Quality signal | 63/100 · Good | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | FFM_ESPN_CREDENTIAL_FILE | PROPLINE_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 88 | 1 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 17 | 34 |
| Full listing | View Fantasy Football Manager | View Propline MCP |
Tools & capabilities
Fantasy Football Manager tools 17
get_capabilitiesRead this server's capabilities before selecting analysis or execution tools. Returns supported actions, effective automation modes, pause state, snapshot presence, and state and configuration revisions. This server analyzes imported data and executes synthetic demo actions only. The response separately describes browser drafts and HTTP season actions through the ESPN companion. Its acceptance report distinguishes implemented actions from verified live execution. Works before a snapshot is loaded and does not change saved state.load_demoLoad a fictional scenario for local testing or demonstrations. Use import_league_snapshot for your own data. Requires an empty data directory or existing synthetic state and preserves confirmed draft history checks. Stops the local draft monitor, replaces the snapshot, and resets configuration when the league changes. Records the import and returns status='imported', revision, config_revision, and config_reset. This tool does not connect to ESPN.import_league_snapshotValidate and save a complete league snapshot supplied by the caller. Use the ESPN companion to fetch live observations or load_demo for fictional data. Replacement requires the current snapshot revision and preserves observation order and confirmed draft history. Pending browser submissions, HTTP submissions, and queued waivers retain their original context and rules until reconciliation resolves them. Changing the league, selected team, or season resets configuration to defaults. Records the import, increments the snapshot revision, and invalidates unexecuted proposals and monitor results. Returns status='imported', revision, config_revision, and config_reset, or an error without replacing state.get_teamRead the selected team's roster from the saved snapshot. Requires an imported snapshot or loaded demo. Returns the snapshot revision, league context, roster and reserve players, lineup, league rules, and budget when supplied. Use recommend_lineup to calculate a lineup or get_source_status to check observation freshness. This tool does not fetch new data or change saved state.get_source_statusCheck the freshness and completeness of the saved observation. Requires an imported snapshot or loaded demo. Returns source fields, age_seconds, the phase-specific maximum_age_seconds, stale, and local draft monitor status. This tool reads saved data and does not refresh the source or run a simulation. Use the ESPN companion for fresh HTTP season observations or browser draft observations. Use import_league_snapshot for replacement data supplied by the caller.get_manager_configRead the full current configuration and its config_revision. Returns strategies, automation presets and per-action modes, pause state, and user limits. Works before a snapshot is loaded and does not change saved state. Use this response as the starting configuration for update_manager_config to preserve existing settings.update_manager_configReplace the saved configuration using its current configuration revision. Read get_manager_config first to preserve settings that you do not intend to change. Omitted fields use model defaults rather than existing values, including when config is an empty object. Validates strategies and limits, records the change, and invalidates unexecuted proposals and monitor results. Returns status='updated' and the new config_revision, or a revision conflict without changing configuration. This tool does not execute actions or start a monitor.recommend_draftRun one bounded draft simulation against the current imported draft snapshot. Use start_draft_monitor for repeated batches or get_draft_recommendations to read that monitor's cached results. Requires draft data with consistent pick history and full-season projections for available and selected-team players. Returns estimated recommendations, trial counts, warnings, revisions, and status such as ready, stale_snapshot, incomplete_snapshot, or roster_complete. current checks revision and snapshot freshness after calculation, but does not grant action permission. Appends a calculation evidence record, including discarded work, without changing rosters or submitting picks.start_draft_monitorStart background draft simulations and return the initial monitor status. Requires a loaded draft snapshot and no active local draft monitor. Each batch uses the latest imported snapshot and appends calculation evidence, including discarded batches. The monitor waits while paused or while the snapshot is stale or incomplete, and clears obsolete cached results. Import new observations to maintain freshness. This tool neither reads a browser nor submits picks. Use get_draft_recommendations for results, stop_draft_monitor to stop, or recommend_draft for one synchronous calculation.get_draft_recommendationsRead cached results and status from the local draft monitor without running a simulation. Returns running, status, error, current, trial counters, and latest when the cached inputs remain usable. latest is null when revisions change, the snapshot becomes stale or incomplete, automation pauses, or no result exists. Completed trials include work across the monitor session, while current_state_trials counts only the current inputs. Use start_draft_monitor to produce these results or recommend_draft for an independent single batch. This tool does not fetch observations or append calculation evidence.stop_draft_monitorRequest shutdown of the local draft monitor and wait up to five seconds. Returns monitor status and counters, with running=true and status='stopping' if the active batch still needs to finish. Use get_draft_recommendations to confirm running=false before starting another monitor. Repeated calls are safe when the monitor is already stopped. This tool does not stop the ESPN companion or change saved automation configuration.recommend_lineupOptimize the selected team's known weekly projections while preserving locked slots. Uses the saved season snapshot, weekly projections, verified player locks, and configured source age limits. Returns status='ok' with a lineup and comparison details, or status='incomplete' with errors and missing-input details. Unknown unchanged scores can cancel from improvement while total projected points remain null. Comparison scope and coverage gaps describe those limits. Coverage suggestions do not authorize a repair. Locked players remain in their current slots, including unavailable players whose games have locked. Appends calculation evidence without changing the lineup, and includes the input snapshot and configuration revisions. Use prepare_action for a synthetic proposal or the ESPN companion for live lineup changes.- +5 more on the listing page
Propline MCP tools 34
propline_list_sportsList all sports PropLine currently polls. Returns sport keys (e.g. baseball_mlb, basketball_nba, soccer_epl) along with human titles and active status. Use this first to discover what sport_key values are valid for the other tools.propline_list_eventsList upcoming events for a sport. Returns each event's id, home_team, away_team, commence_time. Use the returned event_id to drill into per-event odds, props, +EV, or results.propline_list_event_marketsList the market types available for a specific event (e.g. h2h, spreads, totals, player_points, pitcher_strikeouts). Useful when you don't know which prop markets a given event carries.propline_get_oddsGet live odds. If event_id is supplied, returns full per-event props for that event; otherwise returns bulk game-line odds for the whole sport. Pass markets as a comma-separated list (e.g. 'h2h,spreads,totals' or 'player_points,player_rebounds'). Response includes a bookmakers[] array across every book that carries the requested markets (currently up to 37 — sportsbooks: Bovada, DraftKings, FanDuel, Pinnacle, BetMGM, BetRivers, Unibet, Betway, Hard Rock Bet, Fanatics, BetUS, BetOnline.ag, LowVig.ag, 1xBet, TAB AU, ReBet, Fliff, Courtside, Sportzino, Heritage Sports, Jazz Sports, YouWager, Thrillzz; DFS: PrizePicks, Underdog, Sleeper, Dabble, ParlayPlay, DraftKings Pick6; exchanges and prediction markets: Kalshi, Polymarket, Polymarket US, Matchbook, Smarkets, Novig, ProphetX, SX Bet — coverage varies by sport). Every market carries line_type: 'main', 'alternate' or 'milestone' (an N+ rung such as '3+ Strikeouts'); filter to line_type == 'main' for each book's primary line. Kalshi and Polymarket US rows also set line_type on each outcome. Underdog Fantasy outcomes carry a payout_multiplier on EVERY outcome (1.0 = standard pick, e.g. 1.5 = boost, 0.75 = discount; null means the book is not Underdog) — keep only payout_multiplier == 1.0 when comparing DFS lines to sportsbook consensus, since filtering on non-null would drop every Underdog line. Each market carries suspended_at: null while on the board, set when that book pulled the market pregame (late scratch, dropped market type) — its outcomes are then the last quoted legs, not a live price. Treat a suspended market as unbettable and, if several books show it for one player, as a probable scratch. Each BOOKMAKER carries pregame_only: true when the event is live and that book does not price it in play, so its prices are the last pregame quote and will never move again this game. suspended_at cannot show this — a book with no in-play feed is never polled once the game starts, so nothing goes missing to flag. Exclude pregame_only books when reasoning about a live game; they are still returned because on DFS books that frozen line is what the bet settles against. Each market also carries team: the canonical event team name when the market is scoped to ONE team (a TEAM total), and null for the game total. Both ride the totals key, so NEVER compare totals on (market key, point) alone — a team total at 0.5 is not a game total at 0.5. Filter team == null for the game total; team matches home_team/away_team exactly. Always null outside totals. Each outcome carries side ('home'/'away'/'draw', null for Over/Under/Yes/No/player legs) so you can pair legs without matching team spellings. Each event carries is_outright (true for a tournament listing with no away side) and, on tennis, tournament + tour (ATP/WTA/Challenger/ITF/…).propline_get_odds_historyHobby+ endpoint. Returns the historical line-movement snapshot series for an event (every recorded price/point change per outcome over the event's lifetime). Free tier returns market structure with redacted snapshots and an upgrade pointer. Supports period-historical filters: from/to (absolute ISO), relative_from/relative_to (offsets to commence_time like '-3h' or '0'), interval downsample ('30s'/'1m'/'5m'/'15m'/'30m'/'1h'), and changes_only=true to drop unchanged adjacent snapshots.propline_get_odds_closingHobby+ endpoint. Returns the OPENING and CLOSING line per (book, market, outcome) for an event. Closing = the last snapshot at or before commence_time (price/point/closing_at); opening = the first snapshot PropLine holds for the outcome, however far before kickoff the book posted it (opening_price/opening_point/opening_at); pass opening_window to limit that lookback. Canonical CLV-tracking helper; one call returns both data points your bet should be measured against, instead of fetching full history and post-processing. Compare the POINTS as well as the prices — on spreads and totals the number moves as much as the price, so a price-only comparison mis-measures those markets. opening_age_seconds says how long before kickoff the opener was recorded: the archive starts 2026-04, so a small value means PropLine started polling late and this is not the book's true open. Free tier returns redacted structure with upgrade pointer.propline_grade_clvHobby+ endpoint. Grades PLACED bets against their closing lines. Closing line value is the only durable proxy for whether a bettor has edge: did the price they took beat the number the market settled on? Send the bets and each comes back with its closing price, the de-vigged closing fair probability, CLV, and — once the game settles — the graded resolution and actual stat value, plus a portfolio summary. Stateless: nothing is stored. TWO CLV numbers are returned deliberately. clv_pct is price-vs-price: familiar and quotable, but VIG-BLIND, so it flatters a bet taken on the juicy side of a wide market. ev_vs_close_pct scores the price against the DE-VIGGED close and is the honest one — report that one when the user asks whether they got value. The de-vig anchors to the SHARPEST book quoting that line at close (fair_source), not the book they bet at, because de-vigging their own book always returns a negative number (they paid its hold). Bets whose event has not started carry closing_is_final=false, are counted in summary.pending, and are EXCLUDED from the summary averages: before kickoff the 'closing' price is just the latest price, so CLV is ~0 by construction — do not present those as results. Matching is fail-closed: a bet that cannot be pinned to exactly one stored outcome returns matched=false with an unmatched_reason instead of a wrong match, so surface those rows rather than silently dropping them. Max 500 bets per request. Free tier returns structure with every number nulled.propline_price_sgpHobby+ endpoint. Prices a same-game parlay at the BOOK'S OWN correlated odds — the price a FanDuel customer would be offered for that exact slip right now, not a model of it. bookmaker is fanduel (default, its own pricer), draftkings (its SGP widget's pricer), betonlineag / lowvig (the Sportcast engine both share, same builder price), or 'all' to quote every book on the same legs in one call — then the response is {quotes, errors, best_bookmaker}, and best_bookmaker is the book charging the smallest correlation reduction (use 'all' whenever the user asks which book to bet an SGP at). Send 2-10 legs from ONE event, each named exactly as propline_get_odds names an outcome: market key, name (team / Over / Under / player for YES-only props), description (the player on a two-way prop, '' for game lines), point (omit for h2h and YES-only props), period (omit for full game) and team for a TEAM total (omit for the game total; a totals leg with no team matches the game total only) — or book_outcome_id from includeBookIds (on betonlineag / lowvig that is Sportcast's settlement id, e.g. MatchWinner_Home). The response carries sgp_price (the book's parlay price), independent_price (the product of the live single-leg prices) and correlation_factor = their ratio: below 1 the book is charging for correlation, above 1 it is paying for anti-correlation — say which when presenting it. Matching is fail-closed: a leg that does not pin to exactly one stored outcome is a 422 leg_unmatched naming the leg (an Over with no point on an event with two total lines is refused, not guessed) — fix the leg, do not retry blindly. quoted=false means the book will not offer that combination as an SGP; refused legs carry the book's own failure_code. Free tier returns the matched legs with every price nulled.propline_export_odds_historyBackfill-pass / Enterprise only. Bulk line-movement tick history as CSV — every recorded odds snapshot (price + line, per book, including period markets) across a whole sport, one row per (outcome, snapshot). This is the raw firehose no subscription tier can bulk-pull (Pro/Streaming use propline_get_odds_history per event instead). REQUIRES a since/until window to keep the pull bounded — the full archive runs to gigabytes per sport. The result is capped to the first 200 rows for context safety; for the full dataset use the /v1/exports/odds-history endpoint directly with curl/SDK and stream to disk. Non-entitled keys get a 403 with an upgrade pointer.propline_get_futuresFree-tier endpoint. Returns season-long futures (outright) markets for a sport — championship/Super Bowl/division/conference winners, MVP and award winners, season win totals — aggregated across Bovada, FanDuel, DraftKings, Pinnacle, and Kalshi. One row per (futures event, book, market) with each team/player outcome and its price. Marquee markets (Super Bowl winner, MVP, division/conference) are quoted by multiple books for comparison; exotic markets are often single-book. Useful for: 'who are the Super Bowl favorites across books', 'NFL MVP odds', 'NBA championship futures'. Futures are unresolved (no settlement grade).propline_get_scoresFree-tier endpoint. Returns recent and live game scores plus status (scheduled, live, final) for a sport. Useful for: 'is this game over yet, what was the final score'.propline_get_dfs_payoutsFree-tier reference math. Returns the PrizePicks Power Play (all legs must hit) and Flex Play (partial payouts) entry payout schedule for 2-6 legs, plus the per-leg breakeven win probability for each play. Pass leg_win_prob (e.g. 0.58) to also get expected_return (per $1) and is_plus_ev per play — the slip-level breakeven. Useful for: 'what hit rate do I need to beat a 4-pick PrizePicks Power play', 'is a 3-leg flex +EV at 60% per leg'. NOTE: standard published payouts only — demon/goblin per-pick modifiers aren't in PrizePicks's feed (see the disclaimer field); breakeven assumes independent legs.- +22 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Fantasy Football Manager
{
"mcpServers": {
"fantasy-football-manager": {
"command": "uvx",
"args": [
"--from",
"fantasy-football-manager==0.4.0",
"fantasy-football-manager"
],
"env": {
"FFM_ESPN_CREDENTIAL_FILE": "YOUR_FFM_ESPN_CREDENTIAL_FILE_HERE"
}
}
}
}
Propline MCP
{
"mcpServers": {
"proplineapi-propline-mcp": {
"command": "npx",
"args": [
"-y",
"propline-mcp"
],
"env": {
"PROPLINE_API_KEY": "YOUR_PROPLINE_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Fantasy Football Manager is categorized under Sports and uses a local stdio subprocess. Propline MCP belongs to Sports and uses a local stdio subprocess. Pick Fantasy Football Manager for sports work and Propline MCP for sports.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Fantasy Football Manager has no declared pricing — check the project's own site. Propline MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add fantasy-football-manager and proplineapi-propline-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Fantasy Football Manager has a quality signal of 63/100 (Good) with 1 views, 0 installs and 88 GitHub stars. Propline MCP has 64/100 (Good) with 2 views, 0 installs and 1 GitHub stars.