multimodal-mcp-client: [DEPRECATED] Superseded by systempromptio/systemprompt-template and systempromptio/systemprompt-core

by Ejb503 · MCP Server · ★ 210

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

How to install multimodal-mcp-client

git clone https://github.com/Ejb503/multimodal-mcp-client.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

geminimcpmodel-context-protocolvoice-assistant

Quick Facts

Stars210
Forks31
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues6
Last Updated2026-04-21
Created2025-01-08
Platformscli, gemini, mcp, node
Est. Tokens~90k

About multimodal-mcp-client

## ⚠️ Deprecated — no longer maintained This repository has been superseded. All new development and support lives in: - systempromptio/systemprompt-template — start here. Self-hosted evaluation of the full systemprompt.io AI governance infrastructure. - systempromptio/systemprompt-core — the underlying Rust library (MCP, A2A, OAuth 2.1, audit, compile-time extensions).

Compatible Skills

These tools work well together with multimodal-mcp-client for enhanced workflows:

  • home-mind — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • sagittarius — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • genaicode — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • lemmy — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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