"A service for generating and running ads for my business" matching MCP servers:

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

Compliance intelligence layer for AI agents sending WhatsApp Business messages. Prevents account suspensions by validating Meta's rules (care windows, opt-outs, rate limits) in real-time before every send.

Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Open source MCP server specializing in easy, fast, and secure tools for Databases.

MCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

MCP server that lets LLMs interact with a running Prometheus instance via its API, enabling metric analysis, PromQL queries, and rule/target inspection. It also provides embedded documentation and guided runbooks for common Prometheus tasks.

Bridges MCP clients that require stdio to a running pREST HTTP MCP endpoint, enabling database interaction via natural language.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Enables AI assistants to interact with MAAS (Metal as a Service) infrastructure for machine management, network configuration, and storage management through a standardized JSON-RPC 2.0 interface.

Authenticated email service MCP for AI agents.

Enables AI agents and development tools to interact with Obsidian vaults via MCP, providing direct filesystem access for reading, writing, searching, and managing notes without requiring Obsidian to be running.

swagger-mcp is a tool designed to scrape Swagger UI by extracting the swagger.json file and dynamically generating well-defined mcp tools at runtime. These tools can be utilized by the MCP client for further tool selection.

Provides security checks for AI agents, including secret scanning, CVE lookup, and dependency vulnerability scanning, all running locally except for CVE lookups.

Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.

Once configured, you can use natural language commands like: "Search for failed builds in the last week" "Why last deploy was failed" "Search the most failed builds" "Trigger a build for the main branch" "Show me recent builds for project X" "Pin the latest successful build" "Cancel the running bui

Provides comprehensive access to the New Relic observability platform through 55 MCP tools, enabling APM, infrastructure, logs, traces, alerts, dashboards, synthetics, workflows, notifications, service levels, tags, entities, and workloads via a single GraphQL endpoint.