Get MCP server environment details: version info for server, FastMCP, MCP protocol, and Python runtime. Use for debugging and compatibility checks.
Apache 2.0
577,130 tools. Updated 2026-09-15 23:47
"A server for the yfinance Python library for downloading financial market data" matching MCP tools:
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- Retrieve a compact schema card for a scientific data archive, revealing file format, columns, sample rows, and linked documentation without downloading the dataset.MIT No Attribution
- Load OHLCV candle data from Yahoo Finance or a raw array. The data persists in the session for use by subsequent market analysis tools.Apache 2.0
- Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.MIT
- Generate executable Python code for fitting parametric models to data using the ax_core.model_fitter JAX library. Describe your model and data, and receive code with an explanation of the approach.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.20184MIT
- FlicenseNot gradedqualityDmaintenanceA production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.-
Matching MCP Connectors
33 pay-per-call market and news data tools over MCP with free discovery and x402 payments.
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
- Probe a media URL to confirm yt-dlp support and identify the extractor without downloading. Use for quick compatibility checks before planning a download.MIT
- Extract structured financial data from investor relations websites and online sources for investment research when APIs are unavailable.MIT
- Look up the ISIN for any Yahoo Finance symbol with a yfinance-compatible endpoint. Get the ISIN result directly in structured JSON.MIT
- Get market summary rows for a specified market by passing its name, such as US, to access structured financial data for analysis.MIT
- Export Nuvio account data as a JSON backup, including profiles, addons, plugins, library, progress, history, settings, and collections. Credentials and tokens are excluded server-side for safe backup.MIT
- Retrieve historical daily OHLCV prices for given tickers using financial-datasets API with automatic yfinance fallback.MIT
- Delete a view read request after downloading all pages to free server resources.MIT
- Check skill compatibility with your platform before downloading. Evaluates Python version, OS, and installed packages, then returns compatibility status, missing dependencies, and installation commands.MIT
- Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.MIT
- Quickly obtain column names, data types, row count, and sample values from a dataset resource without downloading the full file. Ideal for inspecting schema of large XLSX or CSV files.MIT
- Retrieve version details of JACTUS, MCP server, and Python, along with compatibility status to ensure system readiness.Apache 2.0
- Retrieves raw financial data including historical prices, financial statements, quotes, analyst estimates, and market indicators. Intended for raw data needs; for pre-computed ratios or model metrics, use dedicated tools instead.MIT
- Retrieve version details of the TA-Lib server, Python, and TA-Lib library to verify your environment.MIT
- Retrieve a current-price snapshot for any stock symbol, including last price, open, high, low, volume, market cap, and 52-week range. Ideal for quick price checks.MIT
- Fetch the full profile of a single company: identifiers, industry, market segment, headcount, and recent financial summary. Use for a quick 'tell me about this company' overview from EDINET data.MIT