"Understanding local computer vision models like YOLO" matching MCP servers:

将akshare、yfinance、wbgapi、arxiv等免费公开接口封装为4个标准MCP工具，使支持MCP的智能体无需第三方账号和云额度即可直接查询金融市场、宏观经济和学术论文数据。

A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.

Provides Claude and any MCP client with plain-English access to official San Antonio-area public data including weather alerts, school ratings, and 311 service calls, with no API keys required.

Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.

MCP server for discovering French local natural, technological, and industrial risks at commune level using Géorisques, administrative references, and open risk datasets. It provides tools to query risk sources, datasets, and commune briefs.

Enables AI to search and retrieve detailed information from U.S. government datasets, including GAO reports, oversight recommendations, congressional bills, and more, with OData filtering and faceted search.

Provides access to over 1000 AKShare financial data interfaces (stocks, futures, bonds, funds, macro, and more) via MCP, with local MySQL caching for reduced latency.

Enables AI assistants to search, download, and read arXiv papers, with automatic detection of open-source code repositories and support for both LaTeX and PDF content.

Provides plain-English access to official Dallas-area public data, including weather alerts, school ratings, 311 requests, building permits, police incidents, and property parcel lookup.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

MCP server that connects AI models to Swiss federal geodata, offering tools for spatial queries like layer discovery, coordinate identification, building zones, and terrain heights.

Provides verified local trade and service business data (e.g., radon mitigation, foundation repair) to AI agents via tools like search_providers and list_niches.

Enables search and retrieval of calibrated SWAT+ watershed models, national groundwater lithology and PFAS inventories, plus API-key-secured ordering and downloading of custom watershed models.

Enables LLM agents to query the Explore Local Statistics API for local area data like employment rates and demographics.

MCP server for structured public vehicle data from StartMyCar, providing tools to list makes, models, problems, reviews, fuse box data, manuals, guides, and compare models.

Queries South Korean building register data (e.g., floor area, parking, seismic design) via a single unified tool, converting API responses to Korean field names for easy AI understanding.

MCP server for accessing SPEAR model output from various sources (AWS, STAC API, local) and integrating with AI assistants like Claude Desktop or a SPEAR Climate Chatbot.

Enables real-time domain registration lookups via RDAP, including availability, expiration, and registrar details, with no API key required. Supports natural language queries like 'is example.com available?' or 'when does example.com expire?'.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.

Provides read-only access to live Bay Area transit data, including routes, stops, real-time departures, vehicle positions, and service alerts, for use by large language models.