Standard Metrics MCP Server
Related Servers
Alternatives to Standard Metrics MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceProvides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.6MIT

Signal8 MCP Serverofficial
AlicenseAqualityDmaintenanceProvides AI agents with direct access to SEC filing intelligence, company fundamentals, dilution risk scoring, and cross-company analytics for financial research.871301MIT- AlicenseCqualityAmaintenanceEnables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.100417143TypeScriptApache 2.0
- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to 500+ financial data tools from 40+ providers via the Model Context Protocol, enabling natural language queries for financial data.1MIT
- AlicenseBqualityDmaintenanceConnects AI assistants to the Sharesight portfolio tracking platform via the v3 API for managing investment portfolios and holdings. It enables natural language queries for performance reporting, dividend tracking, and custom investment management.294MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access App Store Connect data including financial metrics, subscription analytics, app performance data, and revenue insights. Provides real-time iOS app metrics through secure API integration with rate limiting and comprehensive reporting capabilities.1733MIT
TDQS
Scored across 19 tools
Most tools have distinct purposes (e.g., get_company vs list_companies), but some overlap exists between get_company_financial_summary and get_company_performance, as both retrieve historical data; also get_company_metrics and get_company_recent_metrics differ mainly by recency vs. range, which could cause confusion.
All tool names follow a consistent verb_noun pattern (e.g., get_company, list_companies, search_companies), with no mixing of styles or irregular naming, ensuring predictability.
19 tools is slightly on the high side but remains reasonable for a portfolio management server covering companies, funds, budgets, documents, notes, and users. A few tools overlap in functionality (e.g., get_company_recent_metrics vs get_company_metrics), but overall each tool serves a clear purpose.
The tool set is predominantly read-only, with no create, update, or delete operations for any entity. While this may align with a reporting-focused server, agents will hit dead ends if they need to modify data. Missing operations like creating notes or updating companies are notable gaps.