mcp-server
Server Details
Financial intelligence: insider trades, SEC filings, 13F holdings, and market signals.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- profitelligence/profitelligence-mcp-server
- GitHub Stars
- 0
- Server Listing
- Profitelligence MCP Server
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Full call logging
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Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.8/5 across 7 of 7 tools scored. Lowest: 3.1/5.
Most tools have distinct purposes: assess focuses on position health, institutional on 13F data, investigate auto-detects entities, pulse gives market snapshot, screen scans opportunities, and search is semantic. However, assess and investigate could overlap when researching a stock, and screen and search might both be used for discovery, though their descriptions help differentiate.
Tool names are all lowercase single words or hyphen-free, but they mix verb-based names (assess, investigate, screen, search) with noun-based names (institutional, pulse) and one compound noun (service_info). No consistent verb_noun or noun pattern is followed, though the naming remains readable and predictable enough.
Seven tools is well-scoped for a financial intelligence server. Each tool covers a distinct major capability (health check, 13F intelligence, entity research, market snapshot, screening, search, and service info), and none feel redundant or superfluous.
The tool surface covers core workflows: analyzing a stock, researching entities, viewing institutional flows, scanning the market, and performing cross-entity search. Minor gaps exist such as no tool for historical price data or fundamentals, but for a focused financial intelligence service the coverage is largely complete.
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
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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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