"Pine Script v6 Python integration or comparison" matching MCP servers:

Enables real-time air quality comparison between two cities through natural language, with an interactive dashboard widget for pollutant analysis.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

A base MCP server in Python providing tools for basic operations (ping, sum, time, list invert) and legal jurisprudence search via LexML Brasil.

Search and load AI fine-tuning and evaluation datasets, prompts and few-shot contexts from the ContexteTech catalogue, grounded in official European sources, in 9 languages. Dataset download links (JSONL, ShareGPT, Alpaca, CSV) and cost estimates per model.

MCP server for converting PLSS legal descriptions to GPS coordinates and vice versa, enabling AI agents to work with U.S. Public Land Survey System data.

Provides access to live NHL game data, team and player statistics, standings, schedules, playoff information, and head-to-head comparisons through natural language queries using official NHL APIs.

Enables MCP clients to fetch official published exchange rates from 60+ central banks and tax authorities, with point-in-time lookup, history, and cross-bank comparison.

A Model Context Protocol server that connects AI assistants to UNESCO Institute for Statistics data, enabling natural language search, retrieval, and comparison of indicators across countries.

Seed oil (PUFA) data for 500+ US restaurant chains: letter grades, the oil each chain fries in, cleanest menu items, and rankings. Zero-dependency Python stdio server backed by the free hosted Seed Oil Tracker endpoint, no key or account needed.

Search and read public Ashby job boards for named companies, with filtering, full job details, and side-by-side compensation comparison. No API key required.

Enables Claude to search, download, and summarize any of the 17,167 official BCRP statistical series, each figure computed in Python and returned with its source URL. It also supports a cross-country comparison tool backed by World Bank indicators for GDP, inflation, unemployment, and other metrics.

Enables AI assistants to search for images on Wikimedia Commons, returning structured metadata and a composite thumbnail grid for visual comparison.

Enables MCP clients to pull US ZIP-code-level electricity data — Scope 2 location- and market-based emission factors, Scope 1 fuel factors, hourly grid carbon intensity, plant-level emissions, retail rates, and utility tariffs — for carbon accounting, multi-site comparison, and finding the cleanest hours to run flexible loads. It requires no API key or signup and works as either a hosted remote endpoint or a local stdio process.

MCP server and CLI tool for interacting with the Internet Archive's Wayback Machine, supporting full CDX search, snapshot retrieval, screenshot listing, snapshot comparison, and optional authentication.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

MCP server for searching the National Diet Library of Japan (NDL Search), enabling Japanese-script bibliographic and article searches with rate limiting and attribution.

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

Provides AI assistants access to over 5,000 OECD economic and statistical datasets via the SDMX API for search, analysis, and comparison across 38 countries.

MCP server for searching and accessing Korean public data from data.go.kr, enabling dataset search, metadata lookup, and data retrieval/download via Python API or CLI.

Enables natural language access to USDA's FoodData Central database with 1M+ foods, supporting search, nutrition facts, food comparison, and daily value calculations.

Connects Claude-compatible clients to the Elephant data graph, enabling discovery of data groups, classes, and property schemas. Supports semantic code search for verified script examples via OpenAI or AWS Bedrock embeddings.

Enables product search, store price comparison, basket comparison, and price history review using Market Fiyatı data through a stdio MCP server.

Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.

Read-only MCP server for Greek supermarket product and price data from PosoKanei. Enables product search, barcode lookup, price comparison across retailers, and basket evaluation.

Family history research toolkit with 79 archives and databases, name variants, historical calendars, kinship, evidence checks, GEDCOM auditing and archive-request drafts. An MIT-licensed Python MCP server that runs locally without API keys or network requests.

Connects AI agents to Brazilian tax compliance data (CNPJ, CPF, NFe, SPED, eSocial) and provides tools for due diligence, risk scoring, and tax regime comparison.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Parse gun and ammo titles (model, caliber, cost per round); find GunsNPrices price comparison pages

Company data for AI agents, paid per call in USDC on Base. Returns every third-party vendor a company can be proven to use — CRM, email, analytics, cloud, HR, payments — each with the DNS record or script that proves it. No signup, no API key.

Enables AI agents to query cross-country macroeconomic and financial statistics, including GDP, inflation, fiscal balance, debt, exchange rates, trade, and balance-of-payments data for comparison and time-series analysis.