"AWS Organizations" matching MCP servers:

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

Enables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.

MCP server that exposes AWS Health API as tools for checking service health, events, and scheduled maintenance at account or organization level.

Enables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.

Enables planning, creating, and verifying Laravel + React + AWS ECS projects, adding frontend apps to generated projects, and reading project status and logs through MCP tools with AWS-safe operational guidance.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

Enables querying open job postings directly from company applicant-tracking systems (Greenhouse, Ashby, Lever), finding a company's job board, listing and comparing roles, and accessing salary data, all without scraping or API keys.

A read-only MCP server that exposes Automeli's public API documentation (v2 canonical, v1 frozen) to LLMs via fetch and cache over www.automeli.com artifacts. It enables listing, searching, and retrieving endpoints, OpenAPI specs, error explanations, code snippets, and end-to-end flow guides.

Enables AI agents to query Verdict's institutional DeFi diligence layer, including letter grades and composite scores for protocols, chains, tokens, oracles, vaults, organizations, and bridges.

Provides AI coding assistants with access to AccelByte Gaming Services (AGS) Extend SDK functions and models through searchable symbols and detailed documentation. Helps generate SDK code by exposing context about available functions, models, and templates for creating Extend app projects across multiple languages (Go, C#, Java, Python).

Enables AI agents to discover, evaluate, and provision cloud infrastructure across AWS, GCP, and Azure with cross-cloud normalization, cost comparisons, and deployable execution kits.

Integrates Checkov, Semgrep, Bandit, and ASH to provide comprehensive code security analysis for AI coding assistants.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

Enables AI assistants to search and create venues and artists, and create events on the BNDY platform via AWS Lambda.

A Model Context Protocol (MCP) server for LocalStack that enables management of local AWS development environments, including container lifecycle operations, infrastructure deployments, log analysis with IAM policy generation, chaos injection, and Cloud Pods state management.

VibOps MCP is the control plane between your AI agents and your GPU infrastructure. 74 tools covering: GPU fleet management (deploy, scale, monitor across NVIDIA, AMD, Intel, AWS, Google, Groq), Agent Infrastructure Control Plane (per-agent GPU cost, budget enforcement, model policies, dependency graph), governance (AI Act, SOC 2, immutable HMAC audit chain), and GPU FinOps (chargeback, waste..)..

Enables AI assistants to analyze AWS IAM policies and CloudFormation templates for security risks.

Lets Claude Desktop, Claude Code, or any MCP client generate ad images and videos from chat, including batches from folders of local files, prompt lists, and pipelines. Sign-in uses an OAuth device flow with workspace-scoped, revocable tokens, and finished creatives can be saved back to your machine.

Experimental MCP server for the wflow.com public API, enabling natural language operations on documents, registers, users, roles, and teams across one or many organizations.

Local MCP server for managing arsnovasingers.org via the WordPress REST API, currently providing read-only audit tools for posts, pages, media, users, SEO, and site settings.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

Enables AI agents to build and run Google Ads campaigns with write tools for campaigns, ad groups, ads, and assets, plus one-command VPS deployment for remote access.

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Enables AI tools and agents to form contract-bound organizations, execute persistent task DAGs with independent audits, score decisions with counterfactual trees, run time-compressed world simulations, and control an on-demand localhost dashboard via stdio tools.

Enables AI assistants to manage RogerRoger CRM data including people, organizations, lists, tags, and tasks through standardized MCP tools.

See who is running ads in your space, clone a winning ad for your brand as an image or video, and launch it on Meta, Google, TikTok, X, or ChatGPT Ads. The full research, clone, launch loop from one chat in Claude, ChatGPT, or Cursor. Flat pricing, no fabricated metrics.

MCP server for the Othos platform that enables AI agents to manage organizations, projects, columns, and tickets via OAuth or bearer token authentication.

MCP server for 1C:Enterprise ERP with 35 tools: metadata inspection, document CRUD, register queries, and BSP integration. First MCP server for Russian ERP systems (300,000+ organizations). JSON-RPC 2.0 compliant BSL implementation.

Enables read, write, edit, and file transfer operations on TorchV AIS enterprise knowledge bases. Supports document management, repository browsing, and administrative tasks with configurable readonly, write, or admin permission levels.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

Enables AWS Bedrock AgentCore agents to perform secretless database queries and cloud service actions through an Akeyless Gateway, with credentials kept off the agent and tool responses limited to paths, metadata, and results. Provides MCP tools for listing secrets, querying databases, executing services, and discovering sub-tools.

MCP server for managing Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads via AI. 210+ tools including account audits, wasted spend detection, and PMax insights.

Enables detecting which applicant-tracking system a company's careers page runs on and reading that company's public job postings — normalized, keyless, and diffable for new roles — across fifteen ATS vendors. It distinguishes genuinely empty boards from nonexistent ones rather than silently returning zero results.