# Agentic Multi-AI Toolkit

> Agentic Multi-AI Toolkit — agentic-multi-ai-toolkit. Use this tool when you need to integrate multiple AI capabilities, including cloud and local models, with comprehensive file operations, to build flexible and modular AI assistants. It solves problems of vendor lock-in and limited tool access, enabling hybrid AI workflows with advanced chat and analysis, privacy-focused operations, and robust file management. The toolkit provides a range of inputs and outputs, including stdio transport and tool routing, making it suitable for use cases requiring seamless interaction between AI providers and file-based data processing.

Canonical page: https://skillsregistry.net/skills/agentic-multi-ai-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/agentic-multi-ai-toolkit

## Description

This MCP server implements a pure agentic architecture that organizes functionality into specialized agents (OpenAI, Ollama, and File agents) managed through a centralized tool registry, enabling AI assistants to access both cloud and local AI capabilities alongside comprehensive file operations. Built with Python using asyncio and the Model Context Protocol specification, it provides 14 tools including OpenAI GPT integration for advanced chat and analysis, local Ollama model support for privacy-focused AI operations, and robust file management with read/write/search/directory operations. The implementation features automatic agent registration with availability checking, tool routing through the registry system, stdio transport for Claude Desktop integration, and fallback mechanisms between AI providers, making it valuable for hybrid AI workflows that require both cloud and local model access, file-based data processing, and building AI assistants that need flexible, modular tool access without vendor lock-in.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentic-multi-ai-toolkit)
- **Repository:** <https://github.com/adamsalah13/mcp_server_full>

## 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": "agentic-multi-ai-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentic-multi-ai-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentic-multi-ai-toolkit/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