pulsemcp Safe content atomic mcp-remote

AWS Bedrock

This AWS Bedrock MCP implementation, developed by Anthropic, provides a seamless integration between Anthropic's Model Context Protocol and Amazon's Bedrock service. Built with Python using boto3 and the MCP SDK, it offers a client that can interact with MCP-enabled tools through Bedrock's runtime service, specifically using the Nova Pro model. The implementation features tool format conversion for Bedrock compatibility, asynchronous communication handling, and structured logging. By bridging MCP and Bedrock, it enables AI systems to leverage both protocols' strengths, making it particularly useful for developers looking to combine Anthropic's MCP capabilities with AWS's scalable infrastructure for applications in natural language processing, task automation, and AI-assisted decision making.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/davidshtian/mcp-on-aws-bedrock
Author type: human
Updated: 2026-04-25

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MCP

Resolve AWS Bedrock 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"