DelphiAnthropic — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by MaxiDonkey · MCP Server · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is DelphiAnthropic safe to install? View the security audit →

About DelphiAnthropic

DelphiAnthropic – Claude API Wrapper for Delphi New changelog v1.3.2 Managed Agents walkthrough (part 1) Functional demo using Pythia-WebView2 Managed Agents API Webhooks — signature verification (HMAC, constant-time) and strongly typed event dispatch Two simple illustrative examples of synchronous text generation [!TIP] To obtain an Anthropic API key, refer to https://platform.claude.com/account/keys Non-streamed example: pascal // uses Anthropic, Anthropic.Types, Anthropic.Helpers; // Client: IAnthropic; var Client := TAnthropicFactory.CreateInstance('ANTHROPICAPIKEY'); //JSON payload var Payload: TChatParamProc := procedure (Params: TChatParams) begin Params .Model('claude-opus-4-7') .Messages( Generation.MessageParts .User('From which version of Delphi were multi-line strings introduced?') ) .MaxTokens(1024); end; //Synchronous example var Chat := Client.Chat.Create(Payload); try for var Block

anthropicanthropic-aianthropic-apianthropic-claudecachingchatclaudeconnector-mcpcustom-skilldelphi

Quick Facts

Stars60
Forks13
LanguagePascal
CategoryMCP Server
LicenseMIT
Quality Score59.7707570508461/100
Last Updated2026-09-06
Created2024-10-14
Platformsclaude-code, mcp
Est. Tokens~19k

Compatible Skills

These tools work well together with DelphiAnthropic for enhanced workflows:

  • WindsurfPoolAPI — semantic(0.18)+complementary+shared_fw(anthropic)+rare_topics+similar_pop+shared_platform (59%)
  • copilot2api-go — semantic(0.20)+complementary+shared_fw(anthropic)+rare_topics+similar_pop+shared_platform (54%)

DelphiAnthropic alternative? Top 6 similar tools

Looking for a DelphiAnthropic alternative? If you're comparing DelphiAnthropic with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • chat.md by rusiaaman · ⭐ 155

    An md file as a chat interface and editable history in one.

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    Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadas

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  • Retrochat-v2 by DefamationStation · ⭐ 87

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Frequently Asked Questions

What is DelphiAnthropic?

DelphiAnthropic is The Anthropic API wrapper for Delphi leverages cutting-edge models, including Anthropic's advanced Claude series, to deliver powerful features for chat interactions, vision processing, caching, effici. It is categorized as a MCP Server with 60 GitHub stars.

What programming language is DelphiAnthropic written in?

DelphiAnthropic is primarily written in Pascal. It covers topics such as anthropic, anthropic-ai, anthropic-api.

How do I install or use DelphiAnthropic?

You can find installation instructions and usage details in the DelphiAnthropic GitHub repository at github.com/MaxiDonkey/DelphiAnthropic. The project has 60 stars and 13 forks, indicating an active community.

What license does DelphiAnthropic use?

DelphiAnthropic is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to DelphiAnthropic?

The top alternatives to DelphiAnthropic on Agent Skills Hub include mcp-telegram, curiso, chat.md. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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.

Sources & who's responsible:

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