"Generating Metrics" matching MCP servers:

Model Context Protocol server for real-time US climate risk and home insurance metrics.

MCP server for listing, comparing, and analyzing Turkish TEFAS mutual funds, including performance metrics and portfolio breakdowns.

Provides access to OpenSincera API for retrieving digital advertising publisher metadata, verification status, and operational metrics through domain or Publisher ID lookup.

Enables interaction with climate metrics via Riskthinking.AI's CDT Express API, supporting climate exposure, impact, and distribution metrics, as well as physical assets, companies, and markets data. Integrates with AI chat experiences like Claude desktop app.

Enables querying hyperlocal weather forecasts and historical data from multiple sources (NWS, Open-Meteo, PurpleAir) through natural language, including current conditions, forecasts, source comparisons, and accuracy metrics.

MCP server for the NASA Astrophysics Data System (ADS) enabling searches, paper retrieval, citation tracking, metrics, and interactive literature review prompts.

Enables querying and analysis of Chinese university discipline assessments, including searching universities and disciplines, filtering by evaluation grades, browsing by province, and generating rankings based on various metrics.

Scrapes and serves India's national vehicle registration database (VAHAN Dashboard), providing detailed insights into registrations, manufacturers, fuel types, and RTO-level metrics.

Provides a read-only interface to Taiwan stock financial data from the public Mopsfin source, enabling queries for company metrics, financial statements, notes, industry statistics, and financial institution data through MCP tools.

Provides natural language querying of open-source community data, including health scores, PR/Issue statistics, contributor analysis, and CLA signings via Claude Desktop.

An MCP server that wraps SEC EDGAR APIs to provide company financial data, screening metrics, and disclosure signals for investment diligence, with every figure traced to its source filing.

Enables discovering and searching Earth observation datasets from STAC catalogs, generating validated GeoCroissant metadata, inspecting document structure, and previewing records for geospatial ML workflows.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Enables querying independent LLM metrics (price, speed, benchmarks, providers) from Artificial Analysis through MCP, with caching and tier-aware access.

Enables querying stock quotes and computing portfolio risk/return metrics such as Sharpe ratio, drawdown, volatility, and correlations, as well as historical summaries and asset comparisons.

Enables Claude to access free official financial and economic data from SEC EDGAR, U.S. Treasury, FRED, and the World Bank, including XBRL financial statements, key metrics, filings, insider trades, 13F portfolios, market prices, and macroeconomic series.

Exposes KCI and OAK Korean bibliographic services as MCP tools for searching, harvesting, and retrieving articles, references, and journal metrics.

An MCP server that exposes the IPUMS API as LLM tools for browsing metadata, creating and downloading extracts, and generating reproducible R/Python code.

MCP server for downloading academic papers from DOI or title, resolving references, and generating citations. Supports batch downloads, multiple mirrors, and optional Unpaywall integration.

Gives AI agents structured, typed access to Canadian open data through a single server covering Statistics Canada tables, Census and public use microdata, the Bank of Canada, CMHC, federal agencies and federal, provincial, territorial and municipal open-data portals, in English and French. It offers roughly 200 tools for querying, planning multi-source queries, and generating reproduction code in R, Python, Stata or Julia.