How to Use the EOD Historical Data MCP in Mastra AI
Build reliable financial workflows with automatic retries using Mastra AI and EOD Historical Data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EOD Historical Data MCP to Mastra AI
Create your Vinkius account to connect EOD Historical Data to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build resilient stock screening workflows with Mastra AI
The `get_screener` tool filters the entire global market based on custom financial metrics and technical signals. Mastra AI executes this tool inside its workflow engine, letting you build multi-step pipelines that automatically branch based on the returned stock list. If the initial query fails due to network hiccups, Mastra's built-in exponential backoff retries the request automatically. This ensures your automated stock screeners run reliably without manual intervention or script crashes.
Execute logic-branched sentiment analysis via MCP Server
The `get_sentiments` tool retrieves news sentiment scores for specific tickers to gauge market mood. Your Mastra AI agent uses this MCP server to trigger conditional branches, such as routing to `get_insider_transactions` if sentiment drops below a specific threshold. You can feed the output of `get_news` into this pipeline to back up the sentiment scores with raw articles. Mastra manages the entire state machine, passing data between these tools while handling rate limits gracefully.
Track macro economic indicators in production
The `get_ust_yield_rates` tool fetches current US Treasury yield curve data to monitor macro market shifts. Your Mastra workflows can compare these yields against `get_ust_bill_rates` to detect yield curve inversions automatically. This workflow can run as a cron job, deploying with a single command to your cloud provider. Mastra handles the scheduling and executes conditional alerts if treasury yields cross critical thresholds.
Set up EOD Historical Data MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All EOD Historical Data tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "eod-historical-data-mcp-client",
servers: {
"eod-historical-data-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "EOD Historical Data Agent",
model: openai("gpt-4o"),
instructions: "You have access to EOD Historical Data tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent EOD Historical Data transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EOD Historical Data. 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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Common questions about EOD Historical Data MCP in Mastra AI
Use it with your favorite AI tools
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