"Python context management and dependency solving in ComfyUI" matching MCP servers:

MCP server that evaluates compatibility between exact versions of packages and runtimes using official evidence, returning structured verdicts (supported/unsupported/unknown) with sources and limitations.

Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

MCP server to access India Open Government Data (data.gov.in) resources via natural language queries.

Enables querying Dutch property context for an address, returning building, energy, neighborhood, environment, heritage, and school data from public registers, with explicit match verification and signals.

Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.

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

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Provides comprehensive Dutch vehicle information from license plate numbers, including APK inspection history, recalls, odometer checks, and other signals, via a single MCP tool.

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.

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.

Enables users to discover matching public procurement notices from four official portals, with filters by keywords, CPV prefixes, and buyer country. Returns structured notice rows including buyer, deadline, value, codes, and link.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

A bridge between large language models and Dutch parliamentary data, providing access to Dutch parliamentary documents, debates, and member information from the Tweede Kamer.

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.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

An MCP server that gives Claude deep access to US public data -- demographics, economics, crime, employment, weather, housing, transit, schools, budgets, and more across 30+ cities for government intelligence workflows.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

Access to many public datasets right from your LLM application.

Enables AI assistants to access live Italian public data and consumer-rights calculators, including fuel prices, equivalent medicines, flight and train compensation, and ECB exchange rates.

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.

Enables discovery and querying of UK public data for infrastructure, geology, and preliminary ground investigations, including boreholes, environmental monitoring, planning, mapping, and traffic, plus cited desk studies and ground-investigation gap planning.

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.

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.

The MCP server's source is in this repository: mcp/listriver_mcp/server.py (Python, MIT, tests in mcp/tests). The README's "MCP server (source in this repo)" section documents it, and the Dockerfile at the repository root builds and runs the server from this repo's own source over stdio (needs LISTRIVER_API_KEY). Also published as listriver-mcp on PyPI and in the MCP Registry as io.github.Lis

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.

Zero-dependency MCP server for querying Chinese public holidays and makeup workdays (2025-2026), offering tools to check specific dates or list yearly schedules offline.

MCP server for querying CVE and package vulnerability data from NVD and OSV.dev, allowing CVE lookups and dependency scanning.

Enables AI agents to query free public APIs — SEC EDGAR, World Bank, GDELT, DATA.GOV.HK, HKMA, the official MCP Registry, UK Companies House, FRED and Jina Reader — as zero-dependency MCP tools. Every result is wrapped in a { source, retrievedAt, data } provenance envelope so agents can cite the origin and time of each fact.