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

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.

A Server-Sent Events Model Context Protocol server that enables both remote and local connections to retrieve SEC filing data, company information, and financial facts from the SEC EDGAR database.

MCP server for SEC EDGAR data, providing company search, financial statements, XBRL concepts/frames, filings, Form 4 insider trades, and 13F filings via User-Agent authentication.

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

Enables querying SEC Form N-PORT data to find which mutual funds and ETFs hold a given security, view a fund's reported portfolio positions, and check data coverage and scope.

Enables querying SEC Form N-MFP money market fund portfolio holdings, including which funds hold a given issuer's securities and a fund's monthly reported positions.

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.

Enables full-text search of SEC material-contract exhibits by clause language, retrieval of exhibit plaintext with snippets, and lookup of contracts by company.

Enables users to choose among seven decision-making frameworks and work through them step by step with their own situation, ending with one clear decision and a next action. It also chains multiple frameworks for larger decisions and provides model guides and recommendations.

Enables querying SEC 13F institutional ownership data, including who holds a security, manager portfolios, quarterly changes, and security flows, with live ticker resolution via OpenFIGI.

Enables searching SEC-registered investment adviser and broker-dealer firms and individual representatives via the IAPD/Form ADV public directory, and retrieving detailed firm profiles and disclosure information by CRD number.

Enables querying dimensioned XBRL facts and tagged note text from SEC DERA Financial Statement and Notes datasets, including segment/geography breakdowns and footnote prose unavailable through companyfacts/frames. Supports per-company fact lookups, cross-company tag screens, note-text full-text search, and coverage checks.

Enables querying and analysis of SEC filing documents through natural language. Uses Pinecone vector search with document summarization to help users retrieve and understand financial filings for various companies.

Streams real-time log context from Amazon MSK to a Bedrock AI agent for anomaly detection and root cause analysis. Enables AI-powered monitoring with WebSocket push and IAM authorization.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables MCP clients to list, search, and read SEC 10-K filings, returning relevant passages with company, fiscal year, section path, and SEC URL citations so answers can be grounded in source documents.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

Turns any OData V2 or V4 service, SAP Gateway included, into MCP tools that AI clients such as Claude, ChatGPT, Copilot, and Cursor can call without code by reading $metadata. It lets models discover entity sets and fields, then query services through built-in read-only tools.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

Enables AI assistants to call any SOAP/WSDL web service as MCP tools, automatically converting each WSDL operation into a callable tool with authentication and security controls.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.