Boolsai Signals
Server Details
Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Boolsai-ai/mcp
- GitHub Stars
- 1
- Server Listing
- Boolsai
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
12 tool updates
- First observed
domain_timeline - First observed
event_dossier - First observed
farm_domain - First observed
find_signals - First observed
recent_events - First observed
scan_at_date - First observed
signal_diff - First observed
signal_landscape - First observed
test_filter - First observed
ticker_history - First observed
universe_summary - First observed
wayback_backtest
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
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
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
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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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
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.