# EnriWeb

> Use this tool when you need to perform structured web searches or retrieve specific online content. EnriWeb solves problems related to information gathering and data retrieval by providing a scalable and filtered search interface. It accepts search queries and parameters as input and returns relevant web content, making it ideal for AI agents requiring web data in various contexts.

Canonical page: https://skillsregistry.net/skills/bedolla-enriweb  
JSON: https://api.skillsregistry.net/v1/skills/bedolla-enriweb

## Description

An MCP server that provides web search and URL fetching capabilities by delegating execution to an EnriProxy server. It enables AI agents to perform structured web searches and retrieve content with support for filtering, recency limits, and pagination.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aftdz2thbc)
- **Repository:** <https://github.com/Bedolla/EnriWeb>

## 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": "bedolla-enriweb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bedolla-enriweb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bedolla-enriweb/pull`

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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