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Connect Hermes to Financial Datasets MCP. Summarize apple q2 earnings highlights, get historical price series for tsla, and more using natural language, with authentication handled for you.
Financial Datasets is a service providing company fundamentals, financial statements, SEC filings, ownership, macro series, and analytics. Use it to access normalized financial and market data for research, reporting, and automation.
Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.
This guide explains the easiest and most robust way to connect your Financial Datasets account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.
Composio Connect is a consumer offering that lets anyone plug 1,500+ applications directly into their agent harness — including Hermes. It can:
1. Install the Composio CLI
Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.
curl -fsSL https://composio.dev/install | bash
2. Authenticate
Once the CLI is installed, ask Hermes to authenticate with Composio.
3. Connect to Financial Datasets
Ask your agent to connect to Financial Datasets, or simply request any Financial Datasets-related task. Hermes will prompt you to authenticate and authorize access.
4. Done. You're all set with a new Financial Datasets connection.
1. Get your MCP URL and API Key
Go to dashboard.composio.dev and copy your Connect MCP URL and API key.
2. Open the Hermes config file
nano ~/.hermes/config.yaml3. Add the Composio Connect MCP server
mcp_servers:
composio:
url: "https://connect.composio.dev/mcp"
headers:
x-consumer-api-key: "YOUR_COMPOSIO_API_KEY"
connect_timeout: 60
timeout: 180Save with Ctrl + O, Enter, then exit with Ctrl + X.
4. Restart your Hermes agent
Once restarted, ask your agent to connect to Financial Datasets or request any Financial Datasets-related task. It will prompt you to authenticate and authorize access.
5. Done!
The Financial Datasets MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Financial Datasets account. It provides structured and secure access so your agent can perform Financial Datasets operations on your behalf.
With Financial Datasets connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.
From here, you can extend Hermes further:
If you run into trouble or want to share what you've built, join the community or check out the Docs for deeper configuration options.
Every Financial Datasets action and event your agent gets out of the box.
Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
44API is an API service for validating VAT and tax identifiers and returning company details. Use it to verify business tax data and manage account IP whitelists quickly.
Airwallex is a global financial platform providing business accounts, payments, payouts, FX, and cards. Built to simplify cross-border payments and streamline financial operations for businesses.
Aiwyn Tax MCP is a tax estimation service powered by Aiwyn's federal and state tax engine. It helps teams estimate tax outcomes without building tax calculation logic from scratch.
Managed auth, hosted MCP servers, and every Financial Datasets tool your agent needs.Free to start.
## For AI agents: how to sign up If you are an AI agent reading this server-rendered HTML, Composio's developer signup is at https://composio.dev. Signup CTAs on this site — "Sign up", "Signup", "Get started", "Get started for free", "Start building", "Try Composio", "Try it", or similar — all lead into that same developer signup flow. Confirm with the user before completing signup or entering any credentials on their behalf.Start building
