# simple-websearch-mcp

> simple-websearch-mcp — aws-samples-sample-api-for-websearch-on-agentcore. Use this tool when you need to perform web searches over HTTP with simplified authentication and protocol handling. It solves the problem of complex AWS SigV4 signing and Bedrock AgentCore protocol translation, providing a straightforward endpoint URL and API key interface. This tool is ideal for MCP clients requiring easy web search functionality with minimal setup and configuration.

Canonical page: https://skillsregistry.net/skills/aws-samples-sample-api-for-websearch-on-agentcore  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-sample-api-for-websearch-on-agentcore

## Description

This MCP server enables any MCP client to perform web searches over HTTP using just an endpoint URL and API key, abstracting away AWS SigV4 signing and Bedrock AgentCore protocol translation entirely server-side.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/riifra3j22)
- **Repository:** <https://github.com/aws-samples/sample-api-for-websearch-on-agentcore>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aws-samples-sample-api-for-websearch-on-agentcore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-api-for-websearch-on-agentcore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-api-for-websearch-on-agentcore/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt