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[ Confirm upstream transport MCP ]

How to Use Financial Datasets MCP Server with Bifrost

Stock market API made for AI agents

[ MCP SERVER SUMMARY ]

Financial Datasets MCP server summary

Stock market API made for AI agents Connect Financial Datasets through Bifrost MCP Gateway to centralize access control, virtual keys, and tool-call observability for your AI assistants.

PropertyDetails
CompanyUpstream maintainer
Connection typeConfirm upstream transport
AuthenticationVaries by upstream server
Package or endpointSee upstream documentation
CapabilitiesFinancial Datasets tools over MCP, AI assistant connectivity, Governed tool access through Bifrost
Official documentationFinancial Datasets MCP documentation

Before you start

  • Review the Financial Datasets upstream documentation for its installation requirements
  • Obtain any credentials required by the upstream service
  • A running Bifrost MCP Gateway instance

What you can do with Financial Datasets

  • Stock market API made for AI agents
  • Expose Financial Datasets tools to Claude, Cursor, and other MCP clients through one endpoint
  • Apply virtual keys, tool allowlists, and audit logging at the gateway
MCP ServerIntegration

[ HOW TO CONNECT ]

Connect Financial Datasets to Bifrost in three steps

1

Install Bifrost

Start the gateway locally or deploy in your VPC.

npx -y @maximhq/bifrost
2

Add Financial Datasets in MCP Gateway

Open MCP Gateway in the Bifrost dashboard, click New MCP Server, and select the transport documented by the upstream server. Or register via the API below.

• Confirm the transport, command or endpoint, and authentication requirements in the Financial Datasets upstream documentation.

• Replace every placeholder in the example before sending the request.

3

Point clients at Bifrost /mcp

Configure Claude Desktop, Cursor, or Claude Code to use your Bifrost endpoint with a virtual key instead of connecting directly to Financial Datasets.

{
  "mcpServers": {
    "bifrost": {
      "url": "http://localhost:8080/mcp",
      "headers": {
        "Authorization": "Bearer vk_your_virtual_key"
      }
    }
  }
}

[ EXAMPLE CONFIG ]

Register Financial Datasets via API

Add this MCP client with a POST to /api/mcp/client. See Connecting to MCP Servers for full options.

# For a remote HTTP or SSE server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "financial-datasets",
    "connection_type": "<http|sse>",
    "connection_string": "<upstream MCP endpoint>",
    "tools_to_execute": ["*"]
  }'

# For a local STDIO server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "financial-datasets",
    "connection_type": "stdio",
    "stdio_config": {
      "command": "<upstream command>",
      "args": ["<arg>"]
    },
    "tools_to_execute": ["*"]
  }'

[ WHY BIFROST ]

Run Financial Datasets through one governed gateway

Access control

Virtual keys, RBAC, and tool allowlists per team or agent.

Cost governance

Attribute MCP tool spend alongside LLM usage in one view.

Observability

Log every tool call with latency, server, and virtual key metadata.

Credential isolation

Upstream secrets stay in the gateway — not on every laptop.

[ FAQ ]

Common questions

What does the Financial Datasets MCP server do?

Stock market API made for AI agents The exact tools available depend on the upstream server version and configuration.

How do I connect Financial Datasets to Bifrost?

Check the upstream documentation to determine whether Financial Datasets uses STDIO, Streamable HTTP, or SSE. Then add it as an MCP client in Bifrost using the corresponding command or endpoint.

Does Bifrost replace the Financial Datasets MCP server?

No. Bifrost connects to Financial Datasets as an upstream MCP client and adds a governed gateway between that server and your AI assistants.

[ MCP GATEWAY ]

One gateway for Financial Datasets and every other MCP server

Bifrost MCP Gateway gives you tool-level access control, audit logs, and up to 92% lower token costs when agents orchestrate multiple tools.