amazon-kendra-index-mcp

amazon-kendra-index-mcp is a skill for Claude Code, Codex from Friz-zy/ai-capability-registry. It costs 14 tokens per session (309 once invoked), scanned A, original, MIT.

A connection to Amazon Kendra Index, an AWS enterprise search service that finds information across an organisation's content and can support RAG, where an AI system retrieves relevant documents before answering.

In plain words
What is it for?
Use it for enterprise search and retrieval-based AI workflows involving an Amazon Kendra index.
Why use it?
It helps an agent search indexed business content and use relevant results to improve answers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for enterprise search and retrieval-based AI workflows involving an Amazon Kendra index.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/friz-zy/ai-capability-registry/amazon-kendra-index
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Friz-zy/ai-capability-registry --skill amazon-kendra-index
Clone the repo
git clone --depth 1 https://github.com/Friz-zy/ai-capability-registry

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for amazon-kendra-index-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/amazon-kendra-index/github.svg)](https://agentmods.dev/skills/friz-zy/ai-capability-registry/amazon-kendra-index)
Your own site
<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/amazon-kendra-index"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/amazon-kendra-index/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for amazon-kendra-index-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/amazon-kendra-index"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/amazon-kendra-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 309 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00309
Opus 5.5 $0.00006 $0.00124
Sonnet 5.5 $0.00003 $0.00062
Haiku 4.5 $0.00001 $0.00031

Measured 2mo ago against content hash 90e53cef45b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazon-kendra-index-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mcp/servers/amazon-kendra-index/SKILL.md · 61 lines

What it actually says

Amazon Kendra Index

Enterprise search and RAG enhancement.

When to use

  • Use Amazon Kendra Index only when the task directly involves the relevant service, SaaS product, platform, or technology.

Connection

Docker stdio

{
  "command": "docker",
  "args": [
    "run",
    "--rm",
    "-i",
    "mcp/amazon-kendra-index-mcp-server"
  ]
}

MCP instructions

Docker launch notes

  • Launch through Docker stdio with docker run --rm -i mcp/amazon-kendra-index-mcp-server.

References

Security policy

  • Trust: reviewed
  • Default mode: manual_review
  • Permission default: manual_review
  • Authentication: Unspecified in source metadata
  • Warning: Default mode is manual_review.
  • Warning: Permission default is manual_review.
  • Required posture: Complete manual review before connecting or invoking tools; this generated record does not grant approval.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 61 lines · 14 tokens per session scan A 90e53cef45b4

Subscribe to this mod's changes

amazon-kendra-index-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (12 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 309 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

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amazon-kendra-index-mcp next to 6 skills from other repositories
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amazon-kendra-index-mcpFriz-zy/ai-capability-registrySkill121mo agoMITA14Claude Code, Codex
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