"Chinese greeting or conversation starter" matching MCP servers:

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

A starter template for deploying a remote MCP server with OAuth 2.1 authorization, dynamic client registration, and a PostgreSQL database. Includes example tools for notes and whoami.

Enables authenticated, owner-scoped note retrieval, creation, and updating through MCP tools backed by Cloudflare Workers and D1. It verifies Cloudflare Access identities and supports duplicate-safe writes without cross-user administrator bypass.

An MCP server for giving AI agents secure access to internal systems, with OIDC sign-in and API keys, per-tool scopes, audit logging, and rate limits.

Enables deploying a remote MCP server with OAuth 2.1 resource-server authorization, protecting tools behind validated bearer tokens and RFC 9728 discovery.

A production-shaped starter for putting an MCP server in front of an existing app, with OAuth and enterprise SSO handled through Clerk, enabling AI assistants to act on your product on behalf of logged-in users.

Enables wrapping a SaaS API as a hosted, stateless MCP server over Streamable HTTP, with OAuth 2.1 brokered login, CIMD/dynamic client registration, scope checks, and upstream tokens kept server-side. Write tools default to dry-run previews, read-only mode hides them entirely, every call is written to an audit log, and a built-in mock notes API lets the full flow run locally with no real account.

Enables AI assistants like ChatGPT and Claude to authenticate, access per-user notes, and read or write those notes on a user's behalf, with immediate access revocation.

Enables Claude and other MCP clients to safely query PostgreSQL data and perform limited order-status updates through scoped bearer tokens, read-only transactions, row caps, and an audit log.

A reference MCP server scaffold with per-user auth passthrough, read-only defaults, dry-run mode, and rate/spend capping, enabling developers to build secure MCP integrations with structured audit logging.

Exposes a stateless Model Context Protocol endpoint that MCP clients reach over Streamable HTTP and sign in to with GitHub OAuth, exposing example tools such as example_echo_message that demonstrate annotations, scope checks, and error mapping.

Enables production-hardened MCP tool serving with OAuth 2.1 audience-restricted tokens, purpose-bound tools, human-in-the-loop approvals, containment, and audit trails for AI agents.

A reference MCP server demonstrating authentication, authorization, approval workflows, and audit logging for a notes domain with secure defaults.

This read-only server lets clients list bundled character records filtered by affiliation and look up an individual character's name, homeworld, and affiliation, with exact, case-insensitive matching and clear errors for missing or invalid input. It enables Copilot Studio and other Streamable HTTP clients to reach that small catalog through Entra-backed OAuth with dynamic discovery, secure token brokering, and a health check.

Provides an OAuth-protected, scoped, and audited MCP server that lets AI assistants safely query business data through a fixed set of tools without direct database access.

Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.

Enables AI assistants to read live macOS processes and identify monitoring software, including Chinese enterprise EDR/DLP/MDM tools, through a read-only MCP server.

A local MCP server for safely managing Control D DNS by conversation, enabling inspection of profiles and endpoints, diagnosing blocked queries, and creating/deleting rules with confirmation and read-back checks.

Enables AI agents to securely store and retrieve secrets and make authenticated API calls on their behalf, keeping API keys out of conversation context and supporting local file or GCP Secret Manager backends.

Enables AI agents to perform read-only on-chain risk screening, blacklist checks, and fund tracing across TRON and EVM chains, including rug-pull forensics and dirty-USDT detection. It also provides bilingual tool descriptions for Chinese-language agent ecosystems.

Connects Claude to SAP Cloud Platform Integration (CPI) to diagnose failed messages, review iFlows, deploy artifacts, and check credentials directly from your conversation.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

A Model Context Protocol (MCP) server for the YesWeHack bug bounty platform that lets Claude query private and public programs, reports, and the hacktivity feed directly from a conversation.

Enables LLM-based assistants to diagnose network problems from PCAP/PCAPNG packet captures, offering tools for capture summaries, TCP conversation analysis, security anomaly detection, and JSON-RPC extraction without requiring Wireshark.

Enables read-only auditing of repositories by scanning actual files, flagging risky code, secrets, and untrusted platform configs, and generating Chinese-language reports for human decision-making.

Connects to Ubuntu servers over SSH to manage, maintain, and secure them through natural language conversation.

Encrypted secrets vault that blinds AI agents to API keys. Stores secrets in AES-256-GCM encrypted SQLite vault, resolves them at runtime via MCP values never appear in LLM conversation transcripts. Sandbox .env files with deterministic fakes.

Enables Claude to query read-only Brivo access-control data—sites, access points, control panels, users, credentials, schedules, cameras, and more—through MCP tools. It exposes all read-only GET endpoints so users can inspect account information and door status in conversation without write or control actions.

Enables AI assistants to anonymously post a person's wants and haves so the server can match them with others' postings, then negotiate through an open conversation. Personal details such as names, contacts and photos are disclosed only after both humans press to consent on their own pages.

Enables secure browser automation by letting agents fill Turnkey-stored secrets into web forms without the secret values ever appearing in the conversation, transcript, or model context.