"How to read and write in Microsoft Word" matching MCP servers:

A secure MCP server for Grafana that provides read-only access by default, with a separate write-capable command for mutations.

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Enables AI agents to retrieve behavioral UX insights, including rage clicks, dead clicks, quick backs, excessive scrolling, and JavaScript runtime errors, with persistent caching and quota-aware diagnostics.

Enables users to export dashboard data for the last one to three days through the Clarity Data Export API.

Read-only MCP server for Solace PubSub+ brokers and Event Portal. Enables Claude to query queue depths, client connections, VPN stats, event schemas, and more via natural language.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

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

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Provides read-only access to OpenClaw and Codex operational data like status, tasks, sessions, logs, and Git changes. Ensures safety via redaction, allowlists, and bounded outputs.

Read-only MCP server for Infoblox NIOS grids, enabling IPAM, DNS, DHCP, and grid health queries via WAPI with multi-grid support.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables AI assistants to read-only explore OpenObserve: list streams, inspect schemas, and run bounded SQL searches over logs, metrics, and traces without write access.

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

MCP server for Malcolm (Zeek/Suricata/Arkime/OpenSearch/NetBox): full read surface plus opt-in, audited write tools.

Enables agents to explore dashboards and run their panel queries with template variables resolved, query Prometheus and Loki datasources, and read alerts, silences and annotations across Grafana's sources in a context-friendly, read-only-by-default form, with write tools available only when explicitly enabled.

The logs of everything on one machine — app, build, GPU, containers, serial board, OS — interleaved in the order they happened, and readable by an agent. Read-only: it can tail, search and wait, and it cannot write, delete or configure anything.

Exposes N-able N-central REST API as MCP tools for managing devices, organizations, users, and more, with support for read-only, write, and full write modes.

Enables MCP-capable AI clients to fetch read-only Microsoft Graph audit evidence for security posture, MFA coverage, stale accounts, and privileged access.

Read-only Modbus TCP monitoring server that exposes safe MCP tools for AI agents to read holding/input registers, coils, and device identity from industrial devices without write access.

A read-only MCP server for Microsoft SQL Server that allows running SELECT queries and analyzing query performance with statistics.

An MCP server providing AI assistants read-only access to Inforcer Microsoft 365 governance data, including tenants, baselines, policies, and audit logs, with one write action to trigger assessments.

Enables an AI assistant to read and search the user's own Telegram account chats through a local server with no write operations. It also runs a background watcher that pre-filters incoming messages with substring, word, or regex rules and, optionally, has Claude judge each hit against plain-language criteria to surface only the alerts that matter.

Enables LLMs to safely explore and operate Redis instances, with read-only keyspace inspection, multi-structure data access, memory and big-key analysis, slow query diagnostics, and optional opt-in write operations.