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

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.

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

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 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.

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.

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.

Gives an AI agent read-only access to SEC EDGAR for company lookup, reported financial statements, individual XBRL concepts, filing and exhibit lists, filing text, segment revenue, and full-text search. Every answer carries its source accession number, form, filing date, URL, hash and retrieval time, and it needs no API key.

Provides 22 read-only tools that let AI assistants pull and read SEC EDGAR data straight from official sec.gov APIs: 10-K, 10-Q, 8-K, 20-F and proxy filings, paged or phrase-searched filing text, XBRL facts and cross-company rankings, insider trades, 13D/13G ownership and 13F portfolios. Also enables full-text search across every EDGAR filing since 2001, so users can answer company financial questions in natural language without an API key.

Enables AI assistants to query documents in a Bedrock Knowledge Base through the MCP protocol, with tools for semantic search and agentic retrieval.

Enables self-hosted, read-only access to Minecraft Bedrock Edition add-on development knowledge from official Microsoft/Mojang documentation and samples, with exact identifier matching and version-aware ranking.

Enables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

MCP server for accessing US securities regulations (17 CFR) via Pipeworx gateway. Enables natural language queries and integration with MCP clients to retrieve SEC regulatory data.

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.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

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.

Provides comprehensive AI model metadata through MCP, enabling search and filtering of 100+ AI models by capabilities, pricing, context length, and provider specifications.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables AI assistants to query and retrieve information from Amazon Bedrock Knowledge Base using the Retrieve API, returning search results with content, location, and relevance scores.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Enables users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

Enables Claude to translate natural-language business questions into safe, read-only SQL queries by exposing tools for listing tables, inspecting schemas, and executing row-capped SELECT statements against PostgreSQL.

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.