# DMVCFramework MCP

> Use this tool when you need to integrate Delphi applications with AI assistants, enabling them to expose tools and resources through the MCP ecosystem. It solves problems of interoperability and compatibility, allowing seamless communication between Delphi apps and MCP clients like Claude Desktop. With support for HTTP streamable and stdio transports, it provides a flexible interface for inputs and outputs, making it ideal for use cases requiring AI-driven automation and workflow optimization.

Canonical page: https://skillsregistry.net/skills/danieleteti-dmvcframework-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danieleteti-dmvcframework-mcp

## Description

DMVCFramework MCP enables Delphi applications to participate in the MCP ecosystem, allowing them to expose tools, resources, and prompts to AI assistants. Built on the DMVCFramework REST framework, it supports both HTTP streamable and stdio transports for integration with Claude Desktop and other MCP clients.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danieleteti-dmvcframework-mcp)
- **Repository:** <https://github.com/danieleteti/mcp-server-delphi>

## 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": "danieleteti-dmvcframework-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danieleteti-dmvcframework-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danieleteti-dmvcframework-mcp/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
