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MCP servers tagged standards
14 live MCP servers tagged "standards", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with standards.
AgentMeasure
Open measurement infrastructure for agent-facing software. Separate operations from attempts, evidence from inference, and usage from value. Reach → Choice → Use → Utility → Value.
MCP
Model Context Protocol (MCP) — independent third-party profile of a public API surface, by API Evangelist. Model Context Protocol is an open, JSON-RPC 2.0 protocol from Anthropic…
GBMCP
用于检索和下载中国及国际标准文档的 MCP 服务器。
Ecosystem
Shared infrastructure, templates, and standards for Very Good Plugins MCP servers
Developer Tools Directory
Centralized catalog, standards, and scaffolding for 11 TMHSDigital developer tools - 189 skills, 77 rules, 378 MCP tools
Agents Skill Site
AI Code Governance
Faf Foundation Site
FAF Foundation website — stewards of the AI context standard
Tpane
Reference implementation of the TOPAZ (Test Output Protocol for AI Zealots) standard - Automatically tune your test outputs for AI consumption
Agentic AI Foundation
Agentic AI Foundation — independent third-party profile of a public API surface, by API Evangelist. The Agentic AI Foundation (AAIF) is a Linux Foundation project formed in Decemb…
Stdflow MCP
StdFlow MCP - Chinese National Standards (GB/GB-T/GB-Z) knowledge base for AI agents. Full-text retrieval, legal force, reference chains. Pay-per-use.
Agentic Resource Discovery
Agentic Resource Discovery (ARD) — independent third-party profile of a public API surface, by API Evangelist. Agentic Resource Discovery (ARD) is a proposed open standard for the…
Internet Standards MCP
RFC sections, status, obsoleted-by chains, errata and IANA registries for coding agents.
Rfc MCP
Evidence-first, read-only Model Context Protocol server for IETF RFCs: pinned snapshots, byte-exact citations, RFC 2119/8174 requirement extraction
Source Trace
SourceTrace: AI compliance provenance API. Traces regulations and standards to primary sources. Auditable JSON—no hallucinations. For AI agents and compliance teams.