"AWS instance metadata service endpoint URL" matching MCP servers:

An MCP server for Yeelight home metadata and management workflows. It provides a guarded task interface for managing homes, rooms, devices, groups, scenes, automations, and account operations.

Image Metadata AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI agents to check URL safety before fetching content, using Google Web Risk, URLhaus, PhishTank, and AI analysis to return SAFE/SUSPICIOUS/DANGEROUS verdicts.

Analyze YouTube, TikTok, and Instagram videos from URL. Extracts transcripts, generates AI insights, and pulls tutorial steps from any video link.

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

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.

This MCP server enables employees to ask IT questions, receive evidence-backed answers, and trigger traceable work orders or escalations through authenticated MCP tools. It also supports status checks, durable action jobs, and auditable work-order, Excel ledger, and escalation workflows.

Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.

Enables users to query and analyze AWS cloud spending and Amazon Bedrock model usage through natural language, with breakdowns by day, region, service, instance type, user, and model, including cross-account cost visibility.

Enables natural-language analysis of AWS cloud spending by exposing Cost Explorer API functionality, including EC2, Bedrock, and per-service cost breakdowns by day, region, user, model, and instance type. It also retrieves Amazon Bedrock usage data from CloudWatch model invocation logs and can pull spend information from other accounts via assumed IAM roles.

Enables natural-language querying of AWS cloud spending and Amazon Bedrock usage logs, with detailed breakdowns by day, region, service, instance type, user, and model, including cross-account cost retrieval.

Enables users to ask natural-language questions about their AWS cloud spending, retrieving granular cost breakdowns by day, region, service, and instance type, along with Amazon Bedrock model usage pulled from CloudWatch invocation logs. It also supports cross-account spend analysis by assuming a role in other accounts.

Enables users to query and analyze AWS spend and Amazon Bedrock usage data through natural language, including breakdowns by service, region, user, model, and instance type.

Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

Enables natural-language analysis of AWS cloud spending and Amazon Bedrock model invocation usage, including breakdowns by service, region, day, user, model, and cross-account data.

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Enables natural-language querying and visualization of cloud spending and Bedrock model invocation usage through MCP clients, with breakdowns by service, day, region, instance type, user, and model, including optional cross-account access.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables users and agents to query and analyze AWS spending and Amazon Bedrock model usage through natural-language interactions via MCP. It provides tools for service, EC2, region, and Bedrock usage/cost breakdowns, with optional cross-account retrieval.

Enables natural language control of AWS resources (EC2, Security Groups, S3, Bedrock, etc.) directly from Claude Desktop or Claude Code.