
Amazon knowledge retrieval MCP server (Amazon Agent Atlas)
io.github.KuudoAIPublished by GitHub account KuudoAIv1.0.0Updated Oct 24, 2026
MCP retrieval server for indexed Amazon Ads, Seller Central, and Vendor Central knowledge.
The publisher's own server: Red Atlas Api
Overview
Remote MCP retrieval layer that lets an assistant browse, search and run indexed Amazon Ads, Seller Central and Vendor Central knowledge tools.
- What you can do
- Browse and search the tool catalog by tag or query, with results ranked by relevance
- Read parameter schemas for specific tools before calling them
- Chain tool calls in one sandboxed Python block and return the final value
- Inspect the catalog offline through a catalog-only stub that serves the tool list, a catalog resource and a connect prompt
- When to use it
- Useful when an assistant needs grounded Amazon operating knowledge across Ads, Seller Central and Vendor Central before answering, and you already run a Kuudo deployment in your own cloud.
- Requirements
- A remote streamable HTTP endpoint at your own Kuudo deployment host, plus an Authorization header carrying a Kuudo API key or deployment bearer token. Some tools may document their own separate provider credentials. The published repository is only a catalog stub; live execution runs in the deployment.
Installation
In SourceWeft
- Open Amazon knowledge retrieval MCP server (Amazon Agent Atlas) in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Follow the launch instructions in the repository.
README
Amazon knowledge retrieval MCP server (Amazon Agent Atlas) by Kuudo
A retrieval layer your agent checks before it answers. It indexes Amazon operating knowledge across Ads, Seller Central, and Vendor Central.
[MCP] [Registry] [License: MIT] [Community]
Product page: https://www.kuudo.com/features/agent-atlas/ · Docs: https://www.kuudo.com/docs/amazon-agent-atlas/ · Pricing: https://www.kuudo.com/pricing.md
Connect
Kuudo runs in your own cloud. The Community plan deploys one instance of each Amazon MCP server into your account, and your client connects to that deployment:
Replace <your-host> with the hostname of your deployment and the bearer value with your Kuudo API key.
A tool may document a provider credential of its own. That is separate from the bearer above, it belongs to the service the tool calls, and the tool's own entry says so.
What this repository is
This repository holds registry metadata and a catalog-only stub. Live execution runs in your Kuudo deployment. The server source is not published. The stub in src/ answers tools/list with the catalog below, serves the same catalog as one resource (kuudo://catalog/tools.json), offers one prompt (connect) carrying the setup guidance, and returns an error with that guidance on any call, so registries and clients can inspect the surface without any access to Amazon.
Inspect the catalog locally with Docker
The image runs the same catalog-only stub over stdio. It is not the live server.
Point a client at it with a stdio entry:
Tools
4 tools, read from a running instance of this server. Four tools front the whole corpus: browse tags, search, read a schema, then run a chained call.
Each tool carries the argument schema the live server publishes, so a client can inspect the full call signature here before it connects to your deployment.
Every tool (4)
Set up your client
- Quick Start: Activepieces MCP
- Quick Start: Google Antigravity
- Quick Start: ChatGPT Skills
- Quick Start: ChatGPT
- Quick Start: Claude
- Quick Start: Claude Skills
- Quick Start: Claude Code MCP
- Quick Start: Claude Cowork for Amazon Workflows
- Quick Start: Claude Code Skills
- Quick Start: Codex Skills
- Quick Start: Codex
- Quick Start: Hermes MCP
- Quick Start: Lovable
- Quick Start: n8n MCP
- Quick Start: NanoClaw MCP
- Quick Start: OpenAI API
- Quick Start: OpenClaw MCP
- Quick Start: Perplexity MCP
Reads, writes, approvals
Read tools are safe to call freely. Write tools do work inside your deployment and never change anything on Amazon. Each tool's access is recorded beside it in tools.json.
Kuudo
- Website: https://www.kuudo.com/
- Docs: https://www.kuudo.com/docs/
- Guides: https://www.kuudo.com/guides/
- Community, bugs, and questions: https://github.com/KuudoAI/community
- Roadmap: https://github.com/orgs/KuudoAI/projects
- Machine-readable: https://www.kuudo.com/llms.txt · https://www.kuudo.com/pricing.md
Generated from KuudoAI/marketing. Do not edit by hand; changes are overwritten on the next sync.
Source: README.md at commit ce6bc9c
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
60% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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