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

  • A
    license
    Not graded
    quality
    A
    maintenance
    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.
    10
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    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.
    6
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    16
    MIT
  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    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.
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to query documents in a Bedrock Knowledge Base through the MCP protocol, with tools for semantic search and agentic retrieval.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    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.
    1
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides comprehensive AI model metadata through MCP, enabling search and filtering of 100+ AI models by capabilities, pricing, context length, and provider specifications.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    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.
    17
  • F
    license
    A
    quality
    D
    maintenance
    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.
    5
    24
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    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.
    15
  • A
    license
    B
    quality
    D
    maintenance
    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.
    5
    1
    Apache 2.0
  • A
    license
    C
    quality
    D
    maintenance
    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.
    19
    49
    6
    MIT