"Flutter and Dart source code repositories" matching MCP servers:

Deprecated, please use Dart connector instead. https://glama.ai/mcp/connectors/com.dartai/dart

Provides tools for discovering, downloading, parsing, and searching Korean DART financial reports, enabling AI assistants to access Open DART data through structured tools.

MCP server for Korea's DART (Data Analysis, Retrieval and Transfer) electronic disclosure system, operated by the Financial Supervisory Service (FSS). Exposes company disclosures, company profiles, and financial statements via the OpenDART public API.

Enables searching corporate disclosures from Korea's DART system, including company info, financial statements, and disclosure search.

Exposes OPEN DART (Korean FSS electronic disclosure) as an MCP server for searching and retrieving original disclosure documents, shareholdings, and financial statements, primarily for legal and internal control review.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Enables AI assistants to analyze Korean financial disclosures (DART) with insider trading signals, accounting risk scores, Buffett-style quality checklists, and automatic conversion of HWP/PDF attachments to markdown.

Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.

Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.

Enables AI agents to access Korea's DART financial data system for retrieving and analyzing corporate disclosures and financial information through natural language queries.

Enables querying a unified database of items from Gmail, Notion, Linear, and Google Calendar through MCP tools, including filtered lookups, stats, and natural-language questions.

Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.

Provides 15 tools covering OpenDART 83 APIs for disclosures, financials, equity, XBRL, plus insider signals, accounting risk scores, and Buffett-style quality checklists, and converts HWP/PDF attachments to markdown for AI assistants.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Enables AI agents to analyze Korean corporate filings from DART with token-efficient footnote parsing, financial anomaly detection, and historical stock price correlation.

Integrates the Pub.dev API with AI assistants to provide real-time Flutter package information, documentation, and trend analysis. It enables users to search for packages, compare versions, and evaluate quality scores through natural language commands.

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.

Enables AI assistants to query Korea's OpenDART electronic disclosure system through 15 consolidated tools covering filings, financials, XBRL statements, and equity changes. Adds analyst-grade frames such as insider buy/sell clustering, 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.

An MCP server that builds structured research source packs for a topic, extracting verified facts, quotes, numbers, dates, and primary links with a coverage map of claims across sources.