"Overview of AWS Services" matching MCP servers:

Connects AI agents to ROS 2 robots via rosbridge, enabling observation, inspection, and control of robot topics, services, and actions through natural language.

Enables complete Vultr cloud infrastructure management through natural language commands, providing 335+ tools across 27 services including compute, DNS, Kubernetes, databases, and networking. Features smart identifier resolution allowing users to reference resources by human-readable names instead of UUIDs.

Provides access to Atomic Red Team tests, enabling search, validation, and execution of atomic tests via natural language.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Enables AI agents and assistants to extract data from social media, search engines, maps, e-commerce sites, and any other website by running thousands of ready-made scrapers, crawlers, and automation tools as callable tools, with OAuth-based connection and optional agentic payments.

Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.

Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.

Enables local forensic analysis of files by orchestrating system binaries (file, exiftool, strings, Volatility) via safe subprocess execution.

Enables multi-LLM deliberation via a council of panel members, judges responses for consensus and contradictions, and returns analysis to the calling model.

COS-MCP is an MCP server that provides AI-powered organizational continuity planning. It maintains a knowledge graph of employees, systems, projects, and relationships, and exposes tools, resources, and prompts for knowledge graph visualization, risk analysis, employee transition planning, and organizational knowledge base queries.

Enables lifecycle management of Devin ACP sessions as subagents over MCP, supporting parallel dispatch, blocking coordination, mid-flight steering, permission adjudication, and crash-resilient session persistence.

A lightweight MCP server providing comprehensive date, time, and day-of-week information. It supports relative time calculations, timezone conversions, and detailed calendar metadata like week numbers and quarters.

An MCP server for Tendem that enables users to complete tasks using a hybrid of AI and human agents. It allows for seamless task delegation and management within MCP-compatible clients.

MCP server for AI-merge of team dev configurations, allowing the IDE's LLM to intelligently merge team configs with personal configs.

Provides echo tools for testing MCP protocol functionality with message echoing, delayed responses, and JSON data analysis capabilities.

Connects AI assistants to your Zendesk account with 14 curated tools for managing tickets, users, organizations, and help center articles, running locally with no third-party services.

MCP server for read-only forensic analysis of evidence files using local utilities (file, ExifTool, strings, Volatility).

Provides AI agents access to cryptocurrency derivatives analytics through 22 unified tools covering 80+ CoinGlass API endpoints. Enables analysis of open interest, funding rates, liquidations, whale positions, order book data, and market sentiment indicators with plan-aware feature gating.

Enables academic research via Claude Code, allowing search of Google Scholar and access to Open Access full-text articles.

MCP server for the entire Shelly smart-home ecosystem, enabling local-first control, automation, and energy monitoring of Shelly devices with cloud fallback.