"Understanding Gaode Map MCP" matching MCP servers:

Provides access to the Korean elementary 2022 revised curriculum learning graph, enabling users to search and retrieve curriculum standards, learning topics, prerequisites, and roadmaps from a fully local database.

Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.

An MCP server that enables MCP clients to directly access and process arXiv papers by fetching the LaTeX source, improving mathematical content understanding.

Enables querying WikiTree genealogy data including profiles, ancestors, descendants, relatives, biography, photos, and categories via natural language.

Provides hosted, read-only Google Maps tools for MCP clients, enabling place search, full place details, reviews, photos, posts, and contributor history without a Google Cloud project or billing.

Enables querying EU-funded research projects and ERC grants from the CORDIS knowledge graph, including full project records and ERC scheme listings, with server-side filtering and attribution.

MCP server that provides AI agents with access to public social media data, including hot lists, searches, content details, user profiles, posts, and comments from platforms like Douyin, Xiaohongshu, Bilibili, and Weibo.

Empowers coding agents for machine learning research by providing access to Lacuna's research map, including novel research proposals, research directions, papers, authors, venues, institutions, and hypotheses. It enables searching and retrieving context-aware research information through MCP tools.

A strategic advisory agent that applies Clayton Christensen's frameworks, such as Jobs-to-Be-Done and Disruption Theory, to analyze business decisions. It enables users to evaluate organizational capabilities, explore historical case studies, and receive theory-grounded strategic insights.

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

MCP server for Korea's NTIS (National Science and Technology Information Service) operated by KISTI. Search national R\&D projects, public announcements, and research programs.

A CAN bus reverse engineering MCP server for Claude Code that lets Claude read, analyze, and map CAN bus messages from automotive and motorsport ECUs directly from the conversation.

Provides eight deterministic, source-grounded tools for exploring the Beautiful Solutions toolbox, enabling organizers and educators to search, compare, map, and build discussion guides around liberation-focused values, principles, solutions, and stories without runtime LLM or network calls.

Self-hosted Google Analytics 4 MCP server with 27 read-only tools for the Google Analytics Data and Admin APIs. Maintained source relocated to get-mcp-ads/google-analytics-mcp-server; npm package remains @getmcpads/google-analytics-mcp-server.

Self-hosted Google Ads MCP server: 35 read tools and 10 opt-in, preview-first write tools. Maintained source relocated from getmcpads-com/google-ads-mcp-server; npm package remains @getmcpads/google-ads-mcp-server.

Enables users to discover, search, validate and cross-map versioned statistical code systems — including industry, occupation, product, education and questionnaire response hierarchies — with deterministic retrieval and provenance. It supports questionnaire development, survey coding and reproducible statistical harmonisation without running any AI model inside the server.

Enables deep ICP analysis with 9 tools for ideal customer profiling, market sizing, buyer mapping, and account prioritization.

Enables MCP-compatible agents to interact with Keysight IC-CAP through its Python API, providing tools to inspect and modify projects, run simulations and transforms, extract parameters, and retrieve plots and data.

MCP server for searching research grants across NSF (US), ERC (EU), and KRF/NRF (Korea) via a unified interface. NIH excluded—covered by existing connectors.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.