mrmarket.ai is a remote MCP server that resolves financial research questions against clean, structured market data. Multi-factor screens, rankings, cohort-relative comparisons, point-in-time event studies, and forward-return analysis across 11,000+ US-listed tickers, returned as structured rows.
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Average 4.7/5 across 9 of 9 tools scored.
Each tool has a clearly distinct purpose: describe_data for catalog, query_data for main analysis, fetch_page for pagination, get_symbols for lookups, getting_started for onboarding, get_account_status for account info, recent_queries for history, list_tickets for ticket listing, and report_issue for support. No two tools overlap significantly.
Most tools follow a consistent verb_noun pattern (e.g., describe_data, fetch_page, query_data). Minor deviations: 'getting_started' uses a gerund instead of imperative verb, and 'recent_queries' is adjective_noun rather than verb_noun. Overall pattern is easily recognizable.
With 9 tools, the server is well-scoped. It covers the essential functions for a financial data query service without being overwhelming. Each tool serves a clear role, and the count feels appropriate for the domain.
The tool set covers the full lifecycle: data discovery (describe_data), query (query_data), pagination (fetch_page), symbol lookup (get_symbols), account management (get_account_status), onboarding (getting_started), issue reporting (report_issue), history (recent_queries), and ticket tracking (list_tickets). No obvious gaps for the advertised purpose.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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