PRO Annual — 50 users, $106.80/year

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GitScrum/MCP Partner Directory/AEGIS Hedging MCP
Official Vinkius Partner Grade F · 4 tools

AEGIS Hedging MCP + Claude: Automating energy risk valuations.

Don't manually copy trade logs or jump between dashboards. When Claude connects to the AEGIS Hedging MCP, it pulls real-time Mark-to-Market data and forward curves directly into your GitScrum task. You get instant, auditable energy risk reports without leaving your project board.

AEGIS Hedging MCP is compatible with ClaudeClaude
AEGIS Hedging MCP is compatible with ChatGPTChatGPT
AEGIS Hedging MCP is compatible with CursorCursor
AEGIS Hedging MCP is compatible with GeminiGemini
AEGIS Hedging MCP is compatible with WindsurfWindsurf
AEGIS Hedging MCP is compatible with VS CodeVS Code
AEGIS Hedging MCP is compatible with JetBrainsJetBrains
AEGIS Hedging MCP is compatible with VercelVercel

Connected via Vinkius catalog · No credit card

AEGIS Hedging
PRO Annual
$106.80/year · 50 users · no per-seat
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workflow

Create a task. Delegate to Claude. Get the result on your board.

01

Create a task in GitScrum

The Project Manager writes a task for Claude, asking it to audit the hedge portfolio's current status and pull specific market data points.

02

Claude runs the AEGIS Hedging MCP

Claude autonomously executes the necessary tools within your MCP-compatible client (like Cursor or ChatGPT). It gathers real-time MTM valuations, forward curves, and trade lists from the AEGIS platform.

03

Outcome lands in your GitScrum board

A comprehensive summary of the energy risk report lands directly in the task comments. You review the audit-ready data, update status, and close the loop—all without ever logging into an external trading terminal.

templates

task.create()

AEGIS Hedging MCP + Claude: 3 templates for managing energy risk in your sprint

Copy. Paste into a Claude-aware GitScrum task. Done.

Sprint boardtemplate1

Audit Hedge Trades with AEGIS Hedging MCP

It's month-end closing time, and I need to verify every single executed trade against our compliance documentation.

Claude prompt

Claude, please use the AEGIS Hedging MCP to list all trades that were executed in Q3. I need this data formatted into a table showing the trade date, asset type, and current status so I can complete the financial audit trail.

Backlogtemplate2

Get Current Portfolio Valuation Report

The risk manager needs an immediate assessment of our portfolio's total Value at Risk (VaR) based on current market movements.

Claude prompt

Claude, run the AEGIS Hedging MCP to retrieve the most recent Mark-to-Market valuations. Please summarize the top three largest hedge positions and their associated risk factors for my review.

Sprint wikitemplate3

Forecast Energy Market Changes

I need to plan our next quarter's capacity expansion, so I require future energy price predictions.

Claude prompt

Claude, use the AEGIS Hedging MCP tool to pull the current forward market curves. Then, compare those future prices against historical data so we can model potential pricing risks for Q2.

01 · workflow

AEGIS Hedging + Claude turns trade audits into compliant GitScrum tickets

Manually auditing energy trades is a nightmare. You spend hours hopping between bespoke trading portals, downloading CSVs, and copy-pasting raw log entries into a spreadsheet just to create an audit trail. Missing one field or misinterpreting a timestamp stalls the entire month-end process.

With Claude accessing your AEGIS Hedging MCP, that tedious data gathering disappears. Instead of manual sheet hopping, you delegate the task in GitScrum. Claude pulls normalized trade entries and compliance figures directly into the ticket, giving you an instant, verified audit package ready for stakeholders.

Open this workflow in GitScrum →
02 · outcome

AEGIS Hedging + Claude improves energy forecasting within your project backlog

Forecasting market risk used to mean juggling multiple dashboards. You'd pull historical price data from one source, current valuations from another, and future forward curves from a third. The resulting report was always fragmented, requiring hours of manual synthesis by the analyst.

Now, you define the need in GitScrum. Claude coordinates the AEGIS Hedging MCP to consolidate all those disparate data streams—historical prices, MTM values, and forward curves—into one cohesive analysis. This means faster decisions and zero wasted time.

prompts

Claude prompts that fire once AEGIS Hedging is live with AI agents

/1

Claude, I'm working on a compliance ticket in GitScrum. Can you use the AEGIS Hedging MCP to pull all necessary reporting data—revenue, taxes, and fees—to support our SDR report?

/2

Can Claude check if there are any current portfolio risks by calling the get_valuations tool through the AEGIS Hedging MCP? I need this done before scheduling a client meeting.

/3

I'm trying to understand the full trade lifecycle. Please use the AEGIS Hedging MCP to list trades and then fetch the corresponding forward curve data so we can analyze pricing volatility together in Claude.

/4

Before starting our sprint planning, please run the check_api_version tool via the AEGIS Hedging MCP on behalf of Claude to ensure all my AI agents are connected correctly.

specs

tools.list()

What Claude can call on AEGIS Hedging: 4 tools for trade lifecycle automation

Each tool is one operation Claude runs on your behalf.

tool_nameoperation
Claude can call this tool to list all energy hedge trades, providing a comprehensive audit log of executed transactions for your team.
This function allows the AI agent to retrieve current Mark-to-Market valuations. It’s essential for quickly assessing the real-time financial risk of your entire portfolio.
Claude uses this MCP tool to pull energy forward curves, giving you visibility into projected market prices and helping with long-term project planning.
The AI agent executes this function to verify the operational status of the AEGIS API. This is a quick check that ensures your overall workflow remains stable for accurate reporting.

grade

F

tools

4

auth

Required

catalog

Vinkius

faq

faq.read()

AEGIS Hedging + Claude, answered for GitScrum users

Does the AEGIS Hedging MCP require a dedicated Claude Desktop or Pro subscription for GitScrum integration?
No, you don't need specific versions. As long as your AI client (like Cursor or ChatGPT) supports the general MCP standard, it works with the AEGIS Hedging MCP. The connection happens within your existing GitScrum workflow through Claude.
How secure is using the AEGIS Hedging MCP for sensitive energy trading data in my project tickets?
Security is managed at the client level and through Vinkius standards. By connecting via an authorized MCP, you maintain control over which tools Claude can access to pull valuation or trade list data into GitScrum.
If I use other AI agents like ChatGPT, will they also be able to utilize the AEGIS Hedging MCP within GitScrum?
Yes. The beauty of an open standard is compatibility. Any major MCP-compatible client—including Cursor and ChatGPT—can access the same tools exposed by this MCP, allowing multiple AI agents to manage your energy risk tasks.
Is there a setup time required for Claude to connect the AEGIS Hedging MCP to my GitScrum workspace?
Setup is straightforward. You subscribe via Vinkius and provide your credentials. Once connected, Claude immediately recognizes the tool definitions, allowing you to start tasking it with trade listings or valuations right away.

Ready to delegate AEGIS Hedging data analysis to Claude?

Free for small teams. Set up in 5 minutes. Cancel anytime.

GitScrum lists this MCP as a Vinkius partner. Installations happen on Vinkius.

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