# Ultimate MCP Server

> Use this tool when you need to delegate complex tasks from advanced AI agents to cost-effective language models, leveraging a suite of tools for cognitive memory, automation, and data processing. It solves problems of scalability and efficiency by enabling intelligent task allocation and management. The Ultimate MCP Server takes in AI agent requests and outputs processed data, ideal for use cases requiring automated browser interactions, Excel manipulation, database queries, and document processing.

Canonical page: https://skillsregistry.net/skills/dicklesworthstone-ultimate-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dicklesworthstone-ultimate-mcp-server

## Description

A Model Context Protocol server that enables intelligent task delegation from advanced AI agents like Claude 3.7 to cost-effective LLMs, providing a comprehensive suite of tools spanning cognitive memory, browser automation, Excel manipulation, database interactions, and document processing.

## 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:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r5asgmbpw9)
- **Repository:** <https://github.com/Dicklesworthstone/ultimate_mcp_server>

## 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": "dicklesworthstone-ultimate-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dicklesworthstone-ultimate-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dicklesworthstone-ultimate-mcp-server/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