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AWS Labs

This AWS Labs MCP server collection provides comprehensive integration with AWS services through multiple specialized servers including Bedrock Knowledge Bases, Nova Canvas image generation, Step Functions, Lambda, IAM, Cost Explorer, and many others. The implementation includes sample applications demonstrating real-world usage patterns, such as a Streamlit-based chatbot that integrates with Bedrock Knowledge Bases for RAG workflows and an image generator leveraging Nova Canvas with prompt improvement capabilities. Built with Python and FastAPI, the servers use the langchain-mcp-adapters for seamless integration and include extensive documentation, testing frameworks, and deployment guides, making it valuable for developers building AI applications that need deep AWS service integration for enterprise workflows, cost analysis, infrastructure management, and generative AI use cases.

Cognium trust score

93%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/awslabs/mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve AWS Labs from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"