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Model Context Protocol (MCP) Server for SUARE — Digital Event Invitations & RSVP Management for ChatGPT, Claude, and LLMs

Transport-neutral MCP client and server cores with validated tool dispatch, authenticated identity, and bounded remote calls.

Sourced software, security and AI evidence, plus scoped requests for specialist agent help.

Create multi-cut AI webtoons (instatoons) with your own GenToon characters and art styles.

Issue and manage Brazilian fiscal documents: NF-e for goods, NFS-e for services.

Find domains and domain hacks with live availability, registrar prices, and keyword search demand.

Compare live gas across up to 9 EVM chains and get the cheapest one. x402 pay-per-call on Base.

Honeypot detection & token risk scan for ERC-20s. Risk score 0-100, tax, source verification.

Korean public data search and local access tools

MCP server for Cresva. scan_store reports whether AI agents can find, understand and buy from any public store, with no key required. Seven further tools wrap the Cresva ACP storefront API.

Multi-account Hugging Face Hub manager with OAuth and MCP support for agents

N1Mem MCP server (BYOK, zero dependencies) — let Claude / Cursor / OpenClaw talk to N1Mem long-term memory via MCP

MCP server for self-hosted Azure DevOps instance with Personal Access Token authentication

鼎尖 ERP 房源 MCP：日同步 SQLite 缓存、图片查询、历史成交

Generate MCP servers from an OpenAPI spec, with observability and tool curation — native binary, no Node required.

A focused, read-only MCP server for Rollbar investigations

「每日印记」agent 日报技能——一条命令把日报推送/检索技能装进 Claude Code / ZCode 等 agent

One seat for all your projects and tasks: a local record of what is done, what is next and when it ships - read by you and your coding assistant

Static pre-install security scanner for MCP (Model Context Protocol) servers — `npx mcpaudit <path>` flags command injection, credential/env exfiltration into LLM-visible output, over-broad filesystem/tool scope and dynamic eval before you wire a server i

Model-agnostic MCP server that gives any AI agent a persistent, self-improving catalogue of solved problems. Recall past fixes, record new ones, never learn the same thing twice.