"Resources for Coding in Python" matching MCP servers:

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.

Calculates Vietnamese Tử Vi horoscope charts, generating structured JSON with Thiên Bàn and Địa Bàn, transit analysis, and local persistence via SQLite.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

An MCP server providing progressive discovery tools for SDMX statistical data, enabling AI agents to explore and access SDMX-compliant repositories through interactive tools, resources, and prompts.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

An MCP server that guides Copilot to version-correct documentation and source code for Industrial Ecology Python packages, enabling reliable, environment-aware coding assistance for LCA workflows.

Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.

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.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

Provides AI agents with access to Hacker News data including top stories, story details, comment threads, and full-text search for content research and trend monitoring.

A safety-bounded MCP server for discovering data-acquisition devices and performing finite analog-voltage and digital-input reads through NI's nidaqmx Python package.

Local MCP adapter for public Stock Trends API resources, enabling credential-free access to public resources and a workflow cost estimation tool. It does not generate investment advice; it only translates published API responses for MCP clients.

MCP server exposing Chilean INE (Instituto Nacional de Estadísticas) public APIs as LLM tools. 11 tools for economic indicators, labor market data (ENE/ESI), automatic CAENES/CIUO-08 classification, and open datasets. No API key required.

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

Enables querying Brazilian foreign trade data through MCP tools for trade flows, freight costs, code resolution, and dataset caveats, with known data defects corrected in responses.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.