"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

Enables AI assistants in LM Studio to access SEC EDGAR company filings, financial statements, and insider trading data via a plugin that wraps the sec-edgar-mcp server.

Enables to search and retrieve SEC EDGAR filings, insider transactions, major shareholders, and executive compensation data through natural language.

Hosted MCP server that gives AI agents real-time access to SEC EDGAR filings search, 10-K/8-K reading, XBRL financial facts, and insider-trade (Form 4) alerts.

Provides access to SEC filings and detailed XBRL financial data for all publicly traded U.S. companies. It enables users to search for company info, retrieve historical metrics like revenue and assets, and compare financial performance across different industries.

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Enables LLMs to access SEC EDGAR data: search filings, extract sections, pull structured financials, and track insider transactions.

Enables searching SEC EDGAR filings by full-text search and listing company filings, with accurate company name resolution to CIKs in code, avoiding hallucinated identifiers.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

Enables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.

MCP server for SEC EDGAR data, providing tools to look up companies, retrieve filings and documents, and access XBRL financial facts.

Enables agents and people to run local SEC research queries against EDGAR or demo fixtures, returning verifiable financial data, filing text, charts, and evidence packets with explicit source and coverage.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.

Enables AI agents to research US companies from official public data, covering SEC EDGAR filings, XBRL financials, Form 4 insider trades, cross-company financial comparisons, and Secretary of State business-entity lookups for NY, CO, OR, CT, and PA. Responses are compact JSON with source URLs and paging options, keeping token usage low without requiring API keys.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

Enables Claude to access free official financial and economic data from SEC EDGAR, U.S. Treasury, FRED, and the World Bank, including XBRL financial statements, key metrics, filings, insider trades, 13F portfolios, market prices, and macroeconomic series.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

Enables querying SEC Forms 3/4/5 insider transaction data to find top open-market buyers and sellers across all issuers, and to check which quarterly data is loaded.

Enables querying and triaging SEC 8-K events through a pre-classified mirror.

Enables querying SEC fails-to-deliver data, including historical fails for securities, largest fails by reporting period, and available publication periods.