# OmniMCP-Container

> Use this tool when you need to integrate large language models (LLMs) with local or cloud filesystems and web search capabilities. The OmniMCP-Container enables LLMs to access and interact with your filesystem and perform web searches via Ollama and FastMCP, streamlining information retrieval and processing. Ideal for applications requiring seamless data exchange between LLMs and external data sources.

Canonical page: https://skillsregistry.net/skills/hectorflores28-omnimcp-container  
JSON: https://api.skillsregistry.net/v1/skills/hectorflores28-omnimcp-container

## Description

A containerized MCP bridge that lets local or cloud LLMs access your filesystem and perform web searches via Ollama and FastMCP.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/erswytd2ap)
- **Repository:** <https://github.com/hectorflores28/MCP-Template>

## 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": "hectorflores28-omnimcp-container"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hectorflores28-omnimcp-container` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hectorflores28-omnimcp-container/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