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by GDKsoftware · MCP Server · ★ 139
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Delphi MCP Server A Model Context Protocol (MCP) server implementation in Delphi, designed to integrate with Claude Code, Codex, and other MCP-compatible clients for AI-powered Delphi development workflows. Table of Contents Features Requirements Installation Transport Modes Using as a Library Integration with Claude Code Integration with Codex Testing with MCP Inspector Available Example Tools Available Example Resources Configuration License Contributing About GDK Software Support Features Full MCP Protocol Support: Implements MCP specification 2025-06-18 with Streamable HTTP and SSE Dual Transport Support: HTTP (Streamable HTTP with SSE) and STDIO (stdin/stdout) Dual Response Mode: Supports both JSON-RPC and Server-Sent Events in the same server Tool System: Extensible tool system with RTTI-based discovery and execution Resource Man
| Stars | 139 |
| Forks | 34 |
| Language | Pascal |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.4406510212354/100 |
| Last Updated | 2026-09-16 |
| Created | 2025-07-22 |
| Platforms | mcp |
| Est. Tokens | ~19k |
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Delphi-MCP-Server is Native Delphi Server implementation of the Model Context Protocol (MCP). It is categorized as a MCP Server with 139 GitHub stars.
Delphi-MCP-Server is primarily written in Pascal. It covers topics such as delphi, mcp, mcp-server.
You can find installation instructions and usage details in the Delphi-MCP-Server GitHub repository at github.com/GDKsoftware/Delphi-MCP-Server. The project has 139 stars and 34 forks, indicating an active community.
Delphi-MCP-Server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Delphi-MCP-Server on Agent Skills Hub include dext, dext, MakerAi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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