"Naver - Korean Search Engine and Web Portal" matching MCP servers:

Enables MCP clients like Claude Desktop to search, retrieve, and analyze Korean statistical data from KOSIS OpenAPI.

Enables AI agents to search, filter, download files, and generate reports from the IGVF Data Portal using natural language commands.

Enables querying and retrieving US water-chemistry data, including station metadata, sample results, and controlled vocabularies from the Water Quality Portal.

Enables search and retrieval of speech turns from Korea's National Assembly records using Korean or English natural-language queries, with citation-ready context and tools for exploring committees and meetings.

Enables AI assistants to query Korean OpenDART disclosure, financial, ownership, and XBRL data through 15 tools, including insider signals, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment conversion to Markdown.

A comprehensive MCP server implemented in TypeScript that provides access to the German BIM Portal REST API, enabling querying of organizations, building properties, LOINs, domain models, and AIA resources through natural language.

MCP server for Korean agricultural wholesale market real-time auction data from 32+ markets with 63K+ daily records via data.go.kr public API.

Enables AI assistants to search and analyze Korean corporate disclosures, financial statements, ownership data, XBRL, insider trading signals, accounting-risk scores, and Buffett-style quality metrics, while converting HWP/PDF attachments into Markdown.

Enables AI assistants to query Korea's OpenDART electronic disclosure system through 15 condensed tools covering filings, financials, equity changes, and XBRL statements with automatic calculation validation. Adds analyst-style frames such as insider buy/sell cluster signals, 0-100 accounting risk scoring, Buffett-style quality comparisons, and conversion of HWP/PDF attachments into searchable markdown.

Enables users to query OpenDART disclosure, financial, ownership, and XBRL data through 15 AI-assistant tools, including insider-signal clustering, accounting-risk scoring, Buffett-style quality checks, and HWP/PDF attachment conversion to Markdown.

Enables AI assistants to query Korean OpenDART electronic disclosure data — disclosures, financials, equity, and XBRL — through 15 consolidated tools, including insider-trading signals, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment-to-Markdown conversion.

Enables AI assistants to query and analyze Korean OpenDART disclosures, financial statements, shareholding changes, XBRL data, insider trading signals, accounting-risk scores, and Buffett-style quality metrics, while converting HWP/PDF attachments into markdown for natural-language research.

Enables AI to query real-time Korean public data including weather, real estate prices, air quality, economic indicators, and business registration via natural language.

Enables AI assistants to query Korean OpenDART electronic disclosures, financials, ownership, and XBRL data through 15 consolidated tools. Adds Buffett-style analyst frames such as insider buy/sell clusters, accounting-risk scoring, quality checklists, and HWP/PDF attachment-to-markdown conversion.

Enables AI assistants to query Korean OpenDART electronic disclosures through 15 consolidated MCP tools covering filings, financials, equity, and XBRL, plus Buffett-style analyst frames like insider signals, accounting-risk scoring, and quality checklists. It also converts HWP and PDF attachments into markdown so LLMs can read and summarize original filing documents.

Enables AI assistants to query Korean DART electronic disclosures, financials, equity, and XBRL data through 15 consolidated tools covering 83 OpenDART APIs, including insider-buying cluster signals, 0-100 accounting-risk scoring, Buffett-style quality checklists, and conversion of HWP/PDF filings into markdown for direct analysis.

Enables AI assistants to query Korea's OpenDART disclosure system, covering filings, financials, ownership, and XBRL with Buffett-style quality checklists, insider signals, and accounting risk scoring, plus conversion of HWP/PDF attachments into markdown for direct analysis.

Enables searching and retrieving Korean Supreme Court precedents from the law.go.kr Open API, with support for keyword search and detailed judgment text.

Enables exploration of Korean National Assembly data by connecting bills, committee reviews, and official records. Allows users to ask natural language questions and receive structured answers with citations to original documents.

Pro Se Engine is an MCP server that provides 39 legal research tools across 6 government APIs, enabling AI agents to access case law, SEC filings, federal legislation, regulations, government contracts, and document processing workflows.