Cartola FC MCP. Audit player stats and market status instantly.
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Cartola FC is your dedicated server for Brazilian fantasy football analysis. It gives your AI client direct access to Globo's market data, allowing you to audit player scouts, track live scores, and find bargains from the Brasileirão Série A.
You can check if the market is open using `get_market_status`, search specific leagues with `search_leagues`, or filter players by position using `list_players_by_position`.
What your AI agents can do
Get market status
Checks if the Cartola FC market is currently open for play.
Get user team by slug
Retrieves all player details and statistics for a specific user-defined team using its unique ID slug.
List cheap players
Generates a list of players who are considered bargains due to their low market price.
Determine if the Cartola FC market is currently open and accepting transactions.
List all players who are priced low relative to their performance, helping you find high-value targets.
Get lists of players based on specific positions: Goalkeeper (GK), Defender (DEF), Midfielder (MID), or Forward (FWD).
Retrieve data showing who the community is selecting most often (list_top_scaled_players) and which players have the highest season averages (list_top_average_players).
Pull real-time scores for the current round of play, giving you immediate round highlights.
Ask AI about this MCP
Supported MCP Clients
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Cartola FC (Fantasy Football): 12 Tools for Player & Market Data
These twelve tools let your AI client access every key data point in the Cartola FC market, from live scores to player bargains and league searches.
019d8422get market status
Checks if the Cartola FC market is currently open for play.
019d8422get user team by slug
Retrieves all player details and statistics for a specific user-defined team using its unique ID slug.
019d8422list cheap players
Generates a list of players who are considered bargains due to their low market price.
019d8422list clubs
Returns a complete list of all active clubs and their corresponding identifiers within the league.
019d8422list players by club
Filters and lists every player who belongs to one specific club.
019d8422list players by position
Returns players grouped by their primary position (GK, DEF, MID, FWD).
019d8422list probable players
Lists all players who are marked as 'Probable' for the current round of play.
019d8422list round scorers
Fetches real-time scoring updates and performance metrics for every player in the current round.
019d8422list top average players
Retrieves players who have maintained the highest average season performance across all tracked statistics.
019d8422list top scaled players
Lists the most popular players, showing who has received the highest number of selections this round.
019d8422search leagues
Searches for public or private leagues using a given name or identifier.
019d8422search players
Finds players based on searching their nickname or partial name.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
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- Built in DLP, auth, and compliance on every call
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Make Your AI Do More
Start with Cartola FC (Fantasy Football), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Cartola FC: Your Brazilian Fantasy Scout
This server gives your AI client direct, deep access to Globo's live market data for Brasileirão Série A. You don't have to jump between ten different websites or wrestle with messy spreadsheets; your agent gets clean, structured stats right when you need 'em. It turns your setup into a full-time fantasy scout.
Check Market Status and Leagues
Before you start building teams, you gotta know if the market's actually open for play. You can check that instantly with get_market_status. Need to scope out a new competition? Use search_leagues to find public or private leagues by name or ID.
Filtering Players and Finding Bargains
The tools let you narrow down the pool of talent fast. You can use list_players_by_position to get lists filtered by specific roles: Goalkeeper (GK), Defender (DEF), Midfielder (MID), or Forward (FWD). Want to know what's going on at a specific club? Run list_players_by_club using the club ID, or simply get a full rundown of every active club and their IDs with list_clubs.
If you just know who you want, use search_players by nickname or partial name. For players considered bargains—the high-value targets priced low relative to how good they are—run list_cheap_players.
Tracking Performance and Popularity
You can analyze performance metrics on a couple of levels. To see who's been running the best average season, use list_top_average_players. If you wanna know which players the whole community is hyped about—who people are selecting most often this round—check out list_top_scaled_players. You can also get a list of all players marked as 'Probable' for the current round using list_probable_players.
Live Action and Team Audits
When game day hits, you need real-time info. Run list_round_scorers to pull live scoring updates and performance metrics for every player in the current round—it's your immediate highlight reel. If you wanna audit a specific user roster, use get_user_team_by_slug with the team’s unique slug; it returns all player details and stats for that exact lineup.
You can also get all player data for one of your own teams this way.
How It Works With Your Agent
Your AI client calls these tools. The server runs the query against Globo's massive database and shoots back clean, structured JSON data. This means your agent doesn't just give you a list; it gives you actionable numbers that let you interpret results in natural language or feed them right into another script.
It’s pure power—no fluff, no delays.
How Cartola FC MCP Works
- 1 Start by asking your agent a specific question (e.g., 'Who are the top defenders under 10 cartoletas?').
- 2 Your AI client translates this into function calls, like calling
list_players_by_positionand then filtering those results usinglist_cheap_playerslogic. - 3 The server runs all necessary tools sequentially and hands back a single package of clean data that your agent uses to write the final answer.
The bottom line is: you talk to your agent, it handles the complex database queries using the available tools, and you get the answer without needing any API keys or manual setup.
Who Is Cartola FC MCP For?
This server is for data analysts, serious fantasy managers, and content creators who need to move past simple predictions. If your job involves deep statistical audits of sports performance—like figuring out if a player's high average justifies their current price—you need this. It cuts through the noise.
Uses list_cheap_players and list_top_scaled_players to balance risk versus perceived value for weekly team lineups.
Combines data from list_top_average_players, list_clubs, and get_user_team_by_slug to build statistical models of league performance.
Uses list_round_scorers and search_leagues to quickly pull real-time highlights and ranking data for articles or broadcasts.
What Changes When You Connect
- Stop guessing about value. Use
list_cheap_playersto immediately identify high-potential players whose price hasn't kept up with their performance, optimizing your budget. - Cut through the hype cycle. Instead of relying on gut feelings, run
list_top_scaled_players. This tells you exactly who other managers are picking right now, giving you a competitive edge. - Never miss a headline moment. The
list_round_scorerstool gives you real-time scores for the current round—perfect for writing live match analysis or quick reports. - Pinpoint specific talent immediately. Use
list_players_by_positioncombined withsearch_playersto filter down thousands of athletes into a manageable list (e.g., 'all defenders under 10'). - Maintain historical context. If you need to check how another user's team performed, use
get_user_team_by_slug. It provides the full history for that specific roster. - Keep everything in scope. Start by using
search_leaguesto make sure your agent is looking at the correct competition before running any player stats.
Real-World Use Cases
Finding a breakout star
You notice an opponent's team has a strong defender, but their current roster seems weak. You ask your agent to cross-reference the top defenders (list_players_by_position) with players who are also bargains (list_cheap_players). The agent runs both tools and presents three specific names that fit both criteria, allowing you to target them in your next squad build.
Comparing league performance
Your friend claims their private league is doing better than yours. Instead of asking for screenshots, you use search_leagues to find the relevant competition ID, and then ask your agent to retrieve team data using get_user_team_by_slug. This gives you a direct statistical comparison.
Handling a last-minute injury scare
A key player is rumored to be out. You immediately run the list_probable_players tool. If they aren't listed, your agent tells you that fact instantly, and you can then pivot by running list_top_average_players on a backup position group.
Building a high-efficiency squad
You need to build a team with maximum points potential but minimal cost. Your agent uses the list_clubs tool to get all available teams, then runs list_players_by_club on the top five clubs and finally filters those results using list_top_average_players metrics.
The Tradeoffs
Asking for 'all player stats'
Prompting your agent with vague requests like, 'Give me the best players.' The agent will fail because it doesn't know what 'best' means or which league you mean.
→
Be specific. First, run get_market_status to confirm playability. Then, narrow the query: 'Using only defenders from clubs listed by list_clubs, show me those who appear in both list_players_by_position and have a high average score via list_top_average_players.'
Over-querying the market
Trying to list players by position, then listing every club, then listing every player from those clubs. This is redundant and slow.
→
Focus your search. If you need a specific type of player, combine list_players_by_position with search_players using the nickname. Don't list everything just because you can.
Assuming data overlap
Thinking that running list_top_scaled_players will also provide cost information, leading to an incomplete picture of value.
→
Always cross-reference. After getting the top players list, use search_players and then check their individual price status against your budget manually or with a secondary tool call.
When It Fits, When It Doesn't
Use this server if you need deep statistical comparisons across defined categories (e.g., 'Show me high-average forwards who are also cheap'). You must know what data points you're missing—is it market status? Is it the role? Do you need to check a specific user team record?
Don't use this server if your goal is simple, general browsing (like 'who plays for Flamengo?'); in that case, list_players_by_club works fine. More importantly, don't use it if you are only checking the basic market status; just run get_market_status. If you need to know why a player is valuable or popular, you must combine tools: for example, pairing list_top_average_players with list_top_scaled_players tells you both performance and hype. The complexity of the query should match the number of unique tools you plan to call.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cartola FC. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually checking market status is a nightmare of tabs and refreshing.
Right now, if you want to know if Cartola FC is live or what the current round's scoring was, you have to jump through hoops. You open the league site, click 'Scores,' then check the date stamp, hoping nothing broke in between tabs. It's slow, and you're always guessing if the data you see is real-time.
With this MCP server, your agent handles it all. You just ask: 'What were the scores for Round 12?' The agent runs `list_round_scorers` instantly and hands you a clean summary. It’s immediate access to current league performance.
The Cartola FC MCP Server gives you power over player scouting.
Instead of browsing by club or position, which often leads to huge lists and missed details, the server lets your agent filter complex criteria. You can ask for 'all defenders who are probable *and* cheap.' That combination used to take three different searches and a spreadsheet.
Now? It's one prompt. Your AI client runs multiple tools—like `list_players_by_position` followed by filtering with `list_cheap_players`—and spits out only the exact list you need. No guesswork, just data.
Common Questions About Cartola FC MCP
How do I check if Cartola FC is open right now using get_market_status? +
You ask your agent to run get_market_status. It tells you immediately if the market is active. If it says 'closed,' don't bother running any player stats; wait for the next round.
I need players from Flamengo. Which tool should I use: list_clubs or list_players_by_club? +
Use list_players_by_club. While list_clubs gives you all the IDs, this specific tool takes a club ID and returns only the roster for that team, saving time.
How do I find players who are highly rated but also affordable? +
This requires combining tools. You should run list_top_average_players to see high performers, and then check those results against a filtered list from list_cheap_players. This gives you the best value picks.
What is the best way to find players for my team? +
Start by using search_leagues to confirm the league ID. Then, use your specific criteria (e.g., 'DEF' and cheap) to narrow down the options before building a roster.
I found a player, but I need their specific team lineup data. How do I use get_user_team_by_slug? +
You pass the unique slug directly to the tool. The system uses this identifier to pull all details for that user's squad. It ensures you retrieve accurate performance metrics tied to a specific account.
If I want to find cheap players who are also highly averaged, should I use list_cheap_players or list_top_average_players? +
You need both lists for comparison. Run list_cheap_players and list_top_average_players, then cross-reference the names yourself. The tool provides the raw data sets you need to filter manually.
I only know the name of a private league, not its ID. How do I find it using search_leagues? +
Use search_leagues with the known name. This tool finds public or private leagues matching your query. If the league exists and is searchable, you’ll get the necessary identification details.
If I want to find the most popular midfielder, do I use list_players_by_position or list_top_scaled_players? +
You must run both. First, filter all players using list_players_by_position for 'MID'. Then, cross-reference that reduced list against the metrics provided by list_top_scaled_players. This gives you the most accurate result.
Can my AI automatically find the 'Probable' lineup for a specific club to avoid injured players? +
Yes! Use the list_probable_players tool combined with list_players_by_club. Your agent will filter the official Globo data to return only athletes currently marked with the 'Probable' status, ensuring your picks are safe.
How do I identify 'Bargains' or cheap players for value appreciation (valorização)? +
Simply ask the agent to run the list_cheap_players action. It will retrieve a curated list of athletes priced below 5 cartoletas, perfect for teams with a tight budget or those looking to increase their total wealth.
Does the integration allow tracking the performance of my friends' teams in real-time? +
Yes. Using the get_user_team_by_slug tool, your agent can fetch the current round's points and total value for any team using its unique slug, allowing for direct competitive comparisons.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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