"Answer" matching MCP servers:

An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

Enables you to publish remote MCP tools from your own Lambda behind a single HTTP API endpoint, with selectable authorization (IAM, API key, JWT, Lambda, or Google Workspace), stage throttling, JSON access logs, and RFC 9728 resource metadata discovery. No session table or sticky routing is needed, so any invocation can answer any request.

Enables an MCP-capable AI agent to receive and store WhatsApp Cloud API messages, claim conversations, read history, send replies through guarded tools, and answer inbound voice calls, all running on the owner's own Cloudflare account with staff pause and takeover controls.

Lets you inspect a Datadog organization's usage and answer cost questions in plain English, helping identify savings opportunities.

A local MCP server that lets Claude answer plain-language questions about your Anthropic usage and spend across the developer API platform and Claude Enterprise products.

Answers "what is this IP" by matching addresses against a synced local copy of Azure service tags and live reverse DNS lookups, including the reverse direction of listing every CIDR prefix for a given service-tag name. Every answer is honestly labeled with the source that produced it, a sync timestamp, and an explicit null/status when a source didn't resolve, so nothing is fabricated.

Enables coding agents to answer from what is actually true in the current Terraform working directory: the provider schemas pinned in the lock file, saved plans, redacted state, and local or installed module interfaces. It also reports what a pinned provider upgrade would break, all read-only and without ever running init in the root module.

Enables network engineers and AI agents to answer troubleshooting questions like "why can't A reach B?" by choosing typed tools and filling parameters, with the server rendering deterministic, pre-shaped queries across firewall, VNet flow, Cisco IOS and Cisco ISE logs in Azure Log Analytics. The agent never writes raw query language, keeping the blast radius bounded to a fixed, closed tool catalog that runs locally on synthetic data or against a real workspace.