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

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

dart-mcp

An MCP server that enables Claude to perform financial analysis and visualization of Korean listed companies using the DART API. It supports detailed financial metrics, business unit sales breakdowns, and company comparisons for KOSPI and KOSDAQ stocks.

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.

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

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 revision-bound source audits with exact article fingerprinting, claim-to-source mapping, quotation verification, and immutable JSON evidence reports for prepublication review.

Enables AI assistants to search Korean DART corporate disclosures, financial statements, ownership filings, and fully parsed XBRL, while converting HWP/PDF attachments into markdown. It also provides analyst-style frames such as insider trading signals, accounting-risk scoring, and Buffett-style quality checklists for comparing companies.

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.

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

Enables AI agents to look up any Louisiana statute, civil code, or procedure article by citation, returning full section text with enactment and amendment history parsed out. Also supports full-text topic search across the code bodies and browsing every section within a Revised Statutes title, keyless and sourced live from the Louisiana State Legislature.

We sell open source compliance, scientific, and government data.

Enables investors and analysts to query Korean listed companies' financial health, accounting risks, and disclosure events using DART filings, accessible via natural language through Claude.

Analyzes corporate financial information using Korea's DART API, supporting financial statements, ratios, news sentiment, and portfolio optimization.

Enables automatic literature discovery, screening, and ranking across OpenAlex, Semantic Scholar, and arXiv, with tools for exporting to Zotero and generating research ideas.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.