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

MCP server for accessing SEC EDGAR filings. Connects AI assistants to company filings, financial statements, and insider trading data with exact numeric precision.

Hosted MCP server granting AI agents access to 20M+ SEC EDGAR filings, 100M+ exhibits, and comprehensive entity data through 49 tools, with support for raw documents, extracted sections, and structured JSON.

Connects AI assistants to SEC EDGAR filings for retrieving company data, financial statements, and insider transactions with exact precision.

A free, key-less MCP server for SEC EDGAR that provides company filings, XBRL financial facts, and full-text search directly from the SEC.

Provides typed, read-only tools over SEC EDGAR for company lookup, filing lists, annual XBRL financial facts, and 10-K/10-Q item sections. Every result carries a source URL so answers can be grounded in and cite the underlying filings.

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.

An MCP server that provides natural-language access to SEC EDGAR filings, including company lookups, financial figures, insider transactions, and filing comparisons, over streamable HTTP for any MCP client.

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.

MCP server that lets an LLM read official SEC financial data, tracing every number back to a specific SEC filing, US-GAAP tag, and filing date.

An MCP server for SEC EDGAR written in Rust: company filings, full-text search, XBRL financials, insider transactions and company info. A single native binary; no API key.

SEC EDGAR for agents: Form 4 insider trades, cluster buys, filings, XBRL financials and full-text search. Free, no API key.

Enables comprehensive access to SEC EDGAR filings, allowing users to search companies, retrieve financial statements, and analyze dimensional XBRL data including revenue breakdowns by geography, business segments, and product lines.

Enables reading SEC EDGAR filings efficiently, including extracting individual 10-K sections, retrieving XBRL financial facts, and searching filings, so models can access specific information without processing entire documents.

Enables AI clients to retrieve SEC company profiles, filing listings, and structured XBRL financial statements via MCP tools.

MCP server providing read-only access to SEC EDGAR filings, allowing LLMs to look up companies, search filings, and retrieve securities offering data.

An MCP server that enables models to access SEC EDGAR filings, filing text, and XBRL financial facts with caching, rate limiting, and iXBRL stripping.

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

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

Provides AI assistants direct access to SEC EDGAR filing data — financials, filings, and filing text — with no API key required.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.