"How to read document contents" matching MCP servers:

Enables AI assistants to explore and manage S3-compatible object storage (AWS S3, RustFS, MinIO, Cloudflare R2) by listing buckets and objects, inspecting metadata, and reading object contents with capped range requests. Write operations such as upload and delete are available but disabled unless explicitly enabled, with optional bucket allow-listing and custom TLS trust.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

A Model Context Protocol server for Azure CosmosDB database operations that provides 8 tools for document database analysis, container discovery, and data querying.

Enables safe, read-only interaction with Kubernetes clusters, allowing users to list resources and fetch logs without any create/update/delete operations.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

An MCP server that enables AI assistants to interact with ServiceNow instances, allowing script execution, data querying, ATF tests, and log tailing through natural language commands.

Enables diagnosing Kubernetes clusters without creating or changing cluster objects, with tools to inspect health, workloads, events, storage, RBAC, custom resources, logs, and configuration.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

A server that enables LLMs like Claude to query AWS DynamoDB databases through natural language requests, supporting table management, data querying, and schema analysis.

Enables interaction with Google Docs through a FastMCP server, allowing users to list, read, and create documents. It leverages the Google Docs and Drive APIs to provide seamless document management via Gemini-CLI.

A lightweight, self-hosted MCP server that connects LLM-based agents to Red Hat Lightspeed services, enabling natural language querying of read-only (and optionally write) operations across Advisor, Image Builder, Inventory, Planning, Remediations, and Vulnerability services.

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

Mercado Pago's Official MCP Server offers tools so that developers can easily interact with our API using natural language, which simplifies tasks and product integration. Remotely hosted by Mercadolibre supporting Streamable HTTP Transport. Details on how to connect: https://mcp.mercadopago.com/

MCP server for the Cloudflare API v4, written in Go. Exposes 28 read tools across zones, DNS, WAF/firewall, rate limits, HTTP request logs, Security Center, and threat intelligence.

Enables AI models to interact with Tencent Cloud COS for cloud storage operations (upload, download, list files) and advanced media processing capabilities (image super-resolution, QR code recognition, video thumbnails, document conversion, and natural language-based file search).

Provides seamless integration with the XO platform for container deployment, application lifecycle management, and knowledge base operations. Enables AI assistants to deploy, manage, and interact with applications on XO infrastructure through natural language commands.

Local MCP server (stdio) exposing the entire Hetzner Cloud API as 201 typed tools, read and write

Provides read-only access to Amazon Redshift warehouses through MCP, enabling listing databases, schemas, tables, and columns, running read-only queries, and explaining query plans.

Gives AI assistants read access to MDRN's workspaces, projects, products, builds, releases, deployments and logs, plus safe write actions such as deploying a connected repository, rolling back, toggling products and managing service variables and services.

Reference MCP servers that integrate with Autodesk Platform Services, demonstrating various authentication combinations and exposing tools to list projects and folder contents via the Data Management API.

Enables deploying an MCP server to Azure that exposes CRM account planning tools to Copilot, with sample or Salesforce data, supporting read-only or gated writes.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

Enables secure, read-only access to Amazon Redshift data warehouses for AI assistants, allowing schema inspection, query execution, and data understanding.

A basic serverless MCP server example running on Netlify Functions using Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment.

Enables AI clients to explore and query a Cloudflare D1 database safely by listing tables, describing their columns alongside notes on how the data really behaves, and running a single read-only SELECT capped at 500 rows. Access is granted through per-person hashed tokens with human first-use approval, and the underlying read-scoped credential makes writes impossible at the Cloudflare level.

An MCP server that receives emails on your domain and allows AI assistants to search, read, and manage them via natural language queries.

A basic example demonstrating how to develop and run a serverless Model Context Protocol (MCP) implementation using Netlify Functions and Express.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables browsing and interacting with Microsoft SharePoint sites and documents through Microsoft Graph API, supporting file search, site listing, document library browsing, and file content retrieval with OAuth2 authentication.