"A Python library for visualizing neural networks" matching MCP servers:

An MCP server that gives AI agents clean, token-efficient access to US civic & property data — geocoding, census tracts, Opportunity Zones, ACS demographics, and FEMA flood zones — sourced entirely from free federal open data.

Provides a compact, task-oriented wrapper around the CDISC Library API for discovering, searching, and fetching Biomedical Concepts and SDTM Dataset Specializations.

Enables researchers to query and reconcile taxonomic data from the Lacewing Digital Library and Neuropterida Species of the World, including accepted names, type localities, distributions, references, and phylogeny records.

Provides access to Internet Archive's Open Library metadata, enabling queries about books, authors, and subjects via natural language through the Pipeworx gateway.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

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

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables AI agents to access US public library data from the federal IMLS Public Libraries Survey, including proximity searches, library system profiles, and statewide statistics.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

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 searching the Wake County Public Library catalog and all NC Cardinal libraries, returning book details including title, author, format, availability status, and direct catalog links.

Exposes 97 official Shanghai Library open data APIs and the Sou-Yun poetry database (1.99 million poems) as 12 MCP tools, covering genealogy, ancient books, calligraphy, historical buildings, and more. Enables MCP clients to query these datasets using natural language.

Enables AI assistants to perform full-text search across a large Chinese Buddhist canon library and retrieve the complete Markdown text of individual texts in Simplified or Traditional Chinese. Content is delivered with source URLs and license pointers.

Enables searching the National Library Board Singapore catalogue by title, author, ISBN, or subject, and checking real-time availability of books across library branches.

Provides library visit time recommendations and book recommendations by analyzing real lending data from the Data4Library Open API.

Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.

Fetches books by genre or subject from the Open Library API without requiring an API key, returning titles, authors, and publication years.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.