"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.

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.

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.

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 filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.

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.

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.

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

A free MCP server for stock research combining Finviz screening and SEC EDGAR filings, offering 24 tools for fundamental analysis, insider trades, and financial data without paid subscriptions.

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

Enables IDE chat tools to retrieve SEC 10-K trading symbols, segment revenue, and Form 4 insider filing details with accession numbers and EDGAR index URLs instead of guessed data.

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

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 ticker-to-CIK resolution for SEC EDGAR, allowing users to query US stock tickers and retrieve their SEC Central Index Key.

Connects AI agents to over 4 million certified SEC EDGAR financial facts with cryptographic provenance and zero hallucination.

Provides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.

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.

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.