Flux Markets MCP. Analyze energy prices and proprietary market data.
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Flux Markets MCP Server gives you direct access to energy market data. It lets your AI agent monitor live pricing, pull historical energy contract data, and access proprietary 'Commitment of Traders' (COT) reports.
You can get market snapshots and track daily swap settlements without leaving your conversation window. It's built for quantitative analysts who need reliable, structured energy market data.
What your AI agents can do
Get account info
Retrieves your Flux account details and current API usage limits.
Get cot data
Pulls the proprietary Commitment of Traders (COT) data for specific energy products.
Get historical tickers
Gets time-series data for past energy prices, useful for backtesting.
Uses get_market_snapshot to pull a high-level summary of current market conditions across various energy symbols.
Uses get_live_tickers to retrieve the current, biddable prices for specific energy contracts.
Uses get_historical_tickers to pull time-series data for backtesting and trend analysis on energy contracts.
Uses get_cot_data and get_officials to access benchmark reports and 'Commitment of Traders' (COT) data.
Uses get_swap_settlements to get the daily settlement prices for energy swaps.
Uses list_symbols to get a list of all energy product symbols available for trading.
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Flux Markets MCP Server: 9 Tools for Energy Analytics
These tools let your agent pull everything from current market quotes to decades of historical energy price data, all through structured API calls.
019d759cget account info
Retrieves your Flux account details and current API usage limits.
019d759cget cot data
Pulls the proprietary Commitment of Traders (COT) data for specific energy products.
019d759cget historical tickers
Gets time-series data for past energy prices, useful for backtesting.
019d759cget live tickers
Fetches the current, real-time biddable prices for specified energy contracts.
019d759cget market snapshot
Retrieves a high-level summary of the current market status across various energy symbols.
019d759cget officials
Accesses benchmark reports, known as 'The Officials', for key energy markets.
019d759cget swap settlements
Gets the daily settlement prices for various energy swaps.
019d759clist products
Lists all energy products available for tracking and analysis.
019d759clist symbols
Lists all active energy symbols that can be queried for pricing data.
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What you can do with this MCP connector
Your AI agent connects to the Flux Markets MCP Server to give you direct access to energy market data. You'll use the available tools to monitor live pricing, pull historical energy contract data, and access proprietary 'Commitment of Traders' (COT) reports. You can get market snapshots and track daily swap settlements without leaving your chat window.
It's built for quantitative analysts who need reliable, structured energy market data.
get_account_info lets you check your Flux account details and current API usage limits. list_products gives you a rundown of all energy products you can track and analyze. list_symbols outputs every active energy symbol you can query for pricing data.
To see what's happening right now, use get_market_snapshot to pull a high-level summary of current market conditions across various energy symbols. get_live_tickers fetches the current, biddable prices for specific energy contracts. get_swap_settlements gets the daily settlement prices for various energy swaps.
For deep analysis, get_historical_tickers pulls time-series data for backtesting and trend analysis on energy contracts. get_cot_data pulls the proprietary Commitment of Traders (COT) data for specific energy products. get_officials accesses benchmark reports, known as 'The Officials', for key energy markets.
How Flux Markets MCP Works
- 1 You subscribe to the server and provide your Flux/Onyx API Key.
- 2 You ask your AI agent a question that requires market data (e.g., 'What's the COT data for gas?').
- 3 The agent selects the correct tool (e.g.,
get_cot_data), runs the API call, and returns the structured data directly to you.
The bottom line is, your AI agent handles the API calls; you just talk to it.
Who Is Flux Markets MCP For?
This server is for energy traders, quantitative analysts, and risk managers. You're the person who wakes up needing to know if a market shift means a profitable trade or a massive exposure risk. You need instant, verifiable data on energy commodities, and clicking through multiple dashboards just isn't fast enough. You need the data pulled into your workflow.
Uses get_live_tickers and get_market_snapshot to check immediate liquidity and current prices during active trading hours.
Runs get_historical_tickers and get_cot_data to build backtesting models and generate reports on market trends.
Monitors get_swap_settlements and get_account_info to manage daily exposure and ensure compliance.
What Changes When You Connect
- See real-time market movement immediately. Use
get_live_tickersto get biddable prices for WTI or BRENT in seconds, instead of checking a live trading dashboard. - Build deep analysis faster.
get_historical_tickerspulls time-series data directly into your prompt, letting you run backtests without exporting CSV files. - Get proprietary context. Access unique data points like the COT report via
get_cot_data. This insight is critical for predicting shifts that simple price charts miss. - Manage risk visibility. Use
get_swap_settlementsto monitor daily settlement prices. This helps risk managers quantify daily exposure change without manual data pulls. - Know the market scope.
list_symbolsensures you know every product (e.g., Crude, Natural Gas) you can query, preventing blind spots in your analysis. - Understand your limits.
get_account_infoprovides a quick check of your API usage, so you never hit a rate limit mid-query.
Real-World Use Cases
Quickly checking commodity prices during a volatile day
An energy trader needs to know if WTI and BRENT are moving fast. Instead of jumping between multiple tickers, they ask their agent: 'What are the live prices for WTI and BRENT?' The agent runs get_live_tickers and gives them the current prices and market liquidity summary instantly.
Building a quarterly performance report
A quant analyst needs to compare the historical volatility of natural gas across Q1 and Q2. They instruct their agent to run get_historical_tickers for the required time range. The agent pulls the data, which the analyst then uses to generate the report.
Assessing market sentiment before a major trade
A fund manager wants to know if institutional money is piling into fuel oil. They ask for the COT data. The agent runs get_cot_data, providing the managed money position increases, which helps them decide whether to buy or short.
Auditing daily risk exposure
A risk manager needs to confirm the daily settlement price for a portfolio of swaps. They use get_swap_settlements to retrieve the official settlement values, confirming their daily exposure against the market standard.
The Tradeoffs
Relying on manual web scraping
A user tries to copy-paste prices or historical data from a web dashboard into a spreadsheet for analysis. This is slow, error-prone, and often misses crucial metadata like timestamps or data source identifiers.
→
Use the Flux Markets MCP Server. Start by calling list_symbols to identify all products. Then, use get_historical_tickers to pull the necessary time-series data directly, bypassing the need for manual data entry.
Running sequential queries for every symbol
When checking five different commodities, the user runs five separate, manual queries to get the current price for each one. This takes minutes and the results are scattered across different tabs.
→
Use get_market_snapshot to get a single, comprehensive view of the current status across many symbols. If you need specific data, use get_live_tickers and specify all symbols in one request.
Ignoring data context
A trader only looks at the live price and assumes the market is stable. They miss the context of large institutional bets or settlement price changes.
→
Don't stop at the price. Always call get_cot_data to understand managed money sentiment, and check get_swap_settlements for official daily price context.
When It Fits, When It Doesn't
Use this server if your workflow depends on synthesizing structured, time-series data from energy commodities. You need to pull historical records, real-time quotes, or proprietary indices (COT).
Don't use it if you just need general market news or qualitative analysis. If your goal is just to read an article about oil prices, this won't help. You need the numbers. If you only need to list what products exist, list_products works. But if you need to use the data, you need the full suite, especially get_live_tickers and get_historical_tickers.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flux Markets. 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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking energy prices shouldn't require jumping between five different tabs.
Today, checking the price of a commodity means opening a dedicated terminal or a complex dashboard. You have to click through product menus, select a date range, and then copy the resulting table. If you're checking multiple symbols, you're copy-pasting data across multiple spreadsheets, and you're guaranteed to miss a critical timestamp or a footnote.
With this MCP server, you just ask your agent. You tell it, 'Give me the live prices for WTI and BRENT.' The agent runs `get_live_tickers` and returns the data structured and ready to use. You get the numbers, instantly.
Flux Markets MCP Server: Get full market data context
The manual process forces you to check the price, then check the historical chart, then check the settlement price, and finally check the institutional positions. Each step requires a separate log-in, a separate query, and manual collation of the final report.
Now, your agent pulls everything together. You can ask it to combine live pricing (`get_live_tickers`), historical volatility (`get_historical_tickers`), and managed money sentiment (`get_cot_data`) in a single conversation. The data flow is unified.
Common Questions About Flux Markets MCP
How do I use the `get_cot_data` tool? +
You ask your agent to fetch the Commitment of Traders (COT) data for the specific product. The tool returns proprietary data on managed money positions, which helps assess market sentiment.
Is `get_live_tickers` the right way to check current prices? +
Yes, get_live_tickers is the specific tool for getting real-time, biddable prices. It's different from a simple market snapshot because it gives you actionable price points.
What is the difference between `get_market_snapshot` and `get_live_tickers`? +
get_market_snapshot gives a high-level summary of the whole market. get_live_tickers gives the granular, up-to-the-second price for specific, named contracts.
Can I get historical data for multiple products at once using `get_historical_tickers`? +
Yes, you can request time-series data for multiple symbols in one call. Just specify the symbols and the date range in your prompt.
Does the server help me track daily settlement prices using `get_swap_settlements`? +
The get_swap_settlements tool retrieves the official, daily settlement prices for energy swaps, which is vital for risk modeling.
How do I use `list_symbols` to see all available energy products? +
The list_symbols tool retrieves a comprehensive list of all available energy symbols. This lets you know exactly which commodities, like Crude or Natural Gas, you can query for pricing or historical data.
If I run `get_historical_tickers` and it fails, what should I check? +
First, check your API key and ensure it hasn't expired. If the key is good, confirm the date range and symbols you're requesting; sometimes, the parameters are simply out of bounds.
What is the purpose of `get_account_info`? +
get_account_info shows your API usage and account details. You use this tool to track how many queries you've made and manage your subscription limits.
How do I get an API Key for Flux Markets? +
You can generate an API key from your Flux/Onyx Account page at https://onyxhub.co.
What energy products are covered? +
Flux Markets covers oil derivatives, crude oil, fuel oil, and various other energy swaps and futures.
Is real-time data supported? +
Yes, the 'get_live_tickers' tool provides real-time biddable prices and market snapshots.
Can I use this for risk management? +
Absolutely. You can monitor daily settlement prices and COT data to manage exposure and understand market positioning.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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