rust-mcp-schema: A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust

by rust-mcp-stack · MCP Server · ★ 76

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

Security audit verdict: SAFE · quality 68/100

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.

crates-iomcp-clientmcp-hostmcp-servermodel-context-protocolrustrust-lang

Quick Facts

Stars76
Forks6
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score68/100
Last Updated2026-08-22
Created2025-02-08
Platformscli, mcp, rust
Est. Tokens~25k

About rust-mcp-schema

Model Context Protocol (MCP) Schema for Rust A type-safe Rust implementation of the official Model Context Protocol (MCP) schema, supporting all official MCP Protocol versions: The MCP schemas in this repository are automatically generated from the official Model Context Protocol, ensuring they are always up-to-date and aligned with the latest official specifications.

Compatible Skills

These tools work well together with rust-mcp-schema for enhanced workflows:

  • skilllite — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • t3router — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • rlm-rs — semantic(0.17)+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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