Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.
Glama MCP Gateway
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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 4.1/5 across 12 of 12 tools scored. Lowest: 3/5.
Each tool has a clearly distinct purpose: domain_timeline for historical stack changes on a domain, event_dossier for deep dive on a single event, farm_domain for ingesting new domains, find_signals for automated pattern discovery, recent_events for live feed, scan_at_date for historical URL scans, signal_diff for comparing two signal patterns, signal_landscape for a multi-dimensional sweep, test_filter for arbitrary hypothesis testing, ticker_history for ticker-level events, universe_summary for orientation, and wayback_backtest for backtesting on historical data. No two tools have overlapping roles.
All tool names follow a consistent snake_case pattern with a verb_noun structure: domain_timeline, event_dossier, farm_domain, find_signals, recent_events, scan_at_date, signal_diff, signal_landscape, test_filter, ticker_history, universe_summary, wayback_backtest. The naming is predictable and intuitive.
With 12 tools, the set is well-scoped for a financial signals analysis platform. Each tool serves a specific analytical need without redundancy or overload, making it easy for an agent to navigate.
The tool set covers the full workflow: orientation (universe_summary), discovery (find_signals, signal_landscape), hypothesis testing (test_filter, signal_diff), investigation (event_dossier, ticker_history, domain_timeline), data ingestion (farm_domain), and multiple historical analysis methods (scan_at_date, wayback_backtest, recent_events). Minor gap: no explicit export tool, but core analysis is well-covered.
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.
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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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