AEGIS Hedging MCP. Manage energy risk, valuations, and trade data instantly.
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AEGIS Hedging connects your energy risk management account to your AI client. It lets your agent handle complex energy data—from real-time Mark-to-Market (MTM) valuations to auditing trade entries and retrieving forward market curves—using natural conversation.
Manage the entire energy trade lifecycle and spot portfolio risks instantly.
What your AI agents can do
Check api version
Verifies the current version of the AEGIS API to ensure data calls use the correct parameters.
Get forward curves
Retrieves the energy forward curves, showing projected pricing across different time periods.
Get valuations
Gets the current Mark-to-Market (MTM) valuations for your held hedge positions.
The agent lists and audits specific energy trades executed on the AEGIS Marketplace, tracking their current status.
The agent retrieves the current Mark-to-Market (MTM) data and settlement estimates for designated hedge positions.
The agent accesses and displays energy forward curves, providing necessary market pricing data.
The agent verifies the current API version of the AEGIS system, ensuring data calls are using the correct parameters.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d7548check api version
Verifies the current version of the AEGIS API to ensure data calls use the correct parameters.
019d7548get forward curves
Retrieves the energy forward curves, showing projected pricing across different time periods.
019d7548get valuations
Gets the current Mark-to-Market (MTM) valuations for your held hedge positions.
019d7548list trades
Lists and retrieves records of energy hedge trades executed on the AEGIS Marketplace.
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
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AEGIS Hedging, 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
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
AEGIS Hedging lets your AI client talk directly to your energy risk management account. You can manage the whole energy trade life cycle and spot portfolio risks using just natural conversation. Your agent handles everything from current Mark-to-Market (MTM) valuations to auditing trade entries and grabbing forward market curves.
Listing and Auditing Trades
Your agent lists and pulls records of every energy hedge trade you executed on the AEGIS Marketplace, letting you track their current status.
Calculating Real-Time Valuation
It gets the current Mark-to-Market (MTM) data and settlement estimates for the hedge positions you hold.
Grabbing Forward Pricing Curves
Your agent accesses and shows you the energy forward curves, which gives you the necessary market pricing data across different time periods.
Checking System Status
It verifies the current API version of the AEGIS system, making sure your data calls use the right parameters.
How AEGIS Hedging MCP Works
- 1 Subscribe to the AEGIS Hedging server and enter your required AEGIS Instance URL and Bearer Token.
- 2 Your AI client sends a natural language request (e.g., 'What's the MTM valuation for natural gas?').
- 3 The agent executes the correct tool (e.g.,
get_valuations) and returns the structured, actionable energy data to you.
The bottom line is, you talk to your agent, and it handles the complex calls to AEGIS, giving you clean, usable financial data.
Who Is AEGIS Hedging MCP For?
Energy risk managers, financial controllers, and commodity traders need this. If your job involves monitoring hedge percentages, auditing trade entries, or making decisions based on real-time energy prices, this server cuts down the data retrieval time from hours of manual dashboard clicking to a single conversation.
Uses the server to monitor portfolio Value at Risk (VaR) and check hedge percentages instantly across multiple energy assets.
Audits trade entries and pulls normalized data for revenue, taxes, and fees to support month-end accounting and compliance reporting.
Accesses forward curves and current market data to spot potential hedging opportunities or adjust current trade positions.
What Changes When You Connect
- Audit trade entries and track status with
list_trades. You don't have to switch between the AEGIS portal and your internal ledger just to verify if a trade went through. - Get real-time MTM data using
get_valuations. You see the current value of your hedge positions instantly, which is critical for risk reporting. - Access future pricing with
get_forward_curves. You pull the full energy forward curve to model pricing for the next 12 months, informing your strategic decisions. - Support compliance with normalized data. The server pulls specific revenue, tax, and fee data, making financial forecasting and SDR reporting much cleaner.
- Spot portfolio risks immediately. By combining data from
get_valuationsandget_forward_curves, your agent helps you identify gaps in your current hedge coverage. - Streamline the trade lifecycle. You audit trades (
list_trades), check their value (get_valuations), and analyze the market context (get_forward_curves) all in one conversation.
Real-World Use Cases
Auditing a Portfolio of Swaps
A financial controller needs to reconcile 30 days of natural gas swaps. They ask their agent to run list_trades and filter by date. Next, they ask the agent to use get_valuations on those resulting trade IDs. The agent handles the two steps, providing a consolidated report of current MTM values for all the trades.
Assessing Future Pricing Risk
A commodity trader wants to know if their current hedge coverage is sufficient for Q4 2026. They ask the agent to run get_forward_curves. The agent pulls the 12-month curve, allowing the trader to compare the projected price spikes against their existing trade positions.
Verifying Compliance Reporting
A compliance officer must verify that all necessary revenue and fee data for SDR reporting is present. They ask the agent to pull the normalized data for fees and taxes. This ensures the audit trail is complete before filing.
Checking Market Readiness
A quantitative analyst is building a new model. They first use check_api_version to confirm the server compatibility. Then, they run get_valuations to get a baseline MTM figure, ensuring the data used for the model is current.
The Tradeoffs
Treating the server like a simple database query
Typing: 'Give me all the energy data.' This is too vague. The agent doesn't know if you want historical trades, current valuations, or future curves, leading to an incomplete or generic response.
→
Be specific. You must tell your agent the function. Ask, 'What are the MTM valuations for my natural gas portfolio?' to trigger get_valuations. Or, 'List all crude oil options trades from last month' to use list_trades.
Mixing up data sources
Trying to calculate MTM values using historical trade logs. Valuation requires real-time market data, not just the trade record itself. The logs don't contain the necessary pricing inputs.
→
Always pair list_trades with get_valuations. You first use list_trades to get the IDs, then you use get_valuations to get the current, market-adjusted value for those specific positions.
Ignoring API changes
Writing code that assumes the old data schema. If AEGIS updates its API, your client will fail because the old structure is no longer valid, leading to a hard service break.
→
Always start by calling check_api_version. This confirms your agent knows the current schema and helps prevent unexpected failures when the underlying system updates.
When It Fits, When It Doesn't
Use this if you need to manage the entire energy risk lifecycle—from checking the market forecast to auditing specific transactions. You need the ability to sequence actions: first listing trades, then checking their current value, and finally understanding the market context.
Don't use this if you only need a simple, single data point (like just a basic trade count). For that, a simple database connector might suffice. If your need is strictly for historical data without valuation context, you might only need list_trades.
This server shines when you need to cross-reference: 'Show me the MTM valuation (get_valuations) for all trades (list_trades) that are affected by the Q4 2026 forward curve (get_forward_curves).' If you can build a multi-step, cross-domain question, this is the right tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AEGIS Hedging. 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 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Reconciling Complex Trade Data Takes Too Long
Right now, auditing a batch of energy trades is a pain. You pull the trade list from the AEGIS portal. Then, you download the raw data, open a spreadsheet, and manually cross-reference each trade ID against a separate MTM dashboard. If the market moves between your data pull and your reconciliation, half the numbers are wrong.
With the AEGIS Hedging MCP Server, you talk to your agent. You ask, 'What is the current MTM valuation for these 12 swaps?' The agent runs `list_trades` and `get_valuations` in sequence, giving you a single, accurate, and up-to-the-second answer. You don't touch a spreadsheet.
AEGIS Hedging MCP Server: Get Valuation and Market Intelligence
Manual analysis requires you to jump between the trade ledger, the pricing feed, and the valuation report. You check the trade status, then you check the forward curve, and finally, you check the MTM value. It's a three-part manual process with three different logins.
The server pulls all three data types—trade logs, forward curves, and MTM valuations—into one conversation. You ask your agent, 'How does the current MTM value compare to the forward curve for this asset?' and you get the answer immediately. It's a single source of truth.
Common Questions About AEGIS Hedging MCP
How does the AEGIS Hedging MCP Server use the `get_valuations` tool? +
The get_valuations tool retrieves the real-time Mark-to-Market (MTM) data and settlement estimates for your hedge positions. You use this when you need to know the current financial worth of your open positions.
What is the difference between `list_trades` and `get_valuations`? +
list_trades only gives you a record of executed trades (the transaction history). get_valuations gives you the current, market-adjusted dollar value of those trades, factoring in current prices.
Can I use `get_forward_curves` to predict future prices? +
Yes, get_forward_curves pulls the energy forward curves, which show projected pricing for future quarters. This helps you model risk and plan for future market movements.
Does the AEGIS Hedging MCP Server check API compatibility? +
Yes, you can use check_api_version to confirm the API version. This is good practice to ensure your agent is using the correct data structure and parameters.
How do I ensure I have the right permissions when I call `list_trades`? +
You must use an API token with read-only permissions for trade data. Your agent needs access to the AEGIS Marketplace endpoint, not just general read access. Always verify the scope of the token before running trades.
What kind of data does `get_forward_curves` return, and how is it structured? +
The tool returns structured JSON containing time series data for specific energy commodities. Each curve includes the date, the pricing benchmark, and the underlying index used for calculation. Check the documentation for commodity-specific formats.
If my call to `get_valuations` fails, what should I check first? +
First, check the AEGIS Instance URL for typos or incorrect formatting. If the URL is fine, ensure your Bearer Token hasn't expired or been revoked. The error message will point to authentication or data access issues.
Can I combine multiple tools, like `list_trades` and `get_valuations`, in a single prompt? +
Yes, your AI client handles multi-step operations. You can ask your agent to first list trades, and then use the trade IDs returned to calculate specific valuations. The agent manages the sequence.
How do I find my AEGIS Bearer Token? +
Bearer tokens are managed within your AEGIS platform settings under the API or Integrations section. If you don't have access, contact your AEGIS Administrator or Account Manager.
Can I see real-time Mark-to-Market valuations? +
Yes! Use the get_valuations tool. It retrieves the latest Mark-to-Market (MTM) data and settlement estimates for your active hedge positions.
Does this support trade automation from the SEF? +
The list_trades tool allows your agent to audit trades executed on the AEGIS SEF (Swap Execution Facility), supporting straight-through processing into your internal systems.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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