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Daum News Crawler MCP Server for Midterm

A MySQL MCP Server for LLM database interactions via Model Context Protocol

MCP server for Lodd — headless web analytics for agents

Sellable MCP server for Claude Code and Codex campaign workflows

Model Context Protocol server for StepSecurity APIs

A Model Context Protocol server for Dropbox integration

Model Context Protocol server for Corelay Mesh — exposes agents as MCP tools over stdio.

Model Context Protocol server for VendBro — gives AI assistants (Claude Desktop, Cursor, Zed) access to a user's card scans, sessions, inventory, and the card-recognition endpoint via an API key.

Tencent Cloud eKYC MCP Server — face verification, liveness detection, and identity verification via Model Context Protocol

Model Context Protocol (MCP) server for the A2A (Agent2Agent) protocol compliance test kit. Lets Claude Desktop, Cursor, Codex, and other MCP clients invoke run_compliance / validate_agent_card / list_checks / explain_check / ssrf_check_url as native tool

MCP server for Aha! — productivity-focused ticket querying

weavory.ai — Responsible-AI memory for agent swarms. Every belief signed, every decision auditable. MCP-native.

One-command installer for Sellable MCP in Claude Code and Codex

Standalone MCP server for Copass — drop-in discover/interpret/search + Context Window tools for any MCP client (Claude Agent SDK, Claude Code, Claude Desktop, Cursor)

Conductor + Gemini: use Gemini as an independent code reviewer inside any Conductor workspace — CLI, MCP tool, and /gemini slash command.

MCP gateway client for cortexhub agents — authenticate, hand the MCP URL to your framework of choice, done.

MCP server that crawls Daum news headlines for a given keyword and saves them to a text file

Enables deploying and managing infrastructure via natural language, including project/domain management, compute nodes, image deployment, and CI/CD integration.

A self-hosted MCP server that provides a single execute_code tool, enabling agents to write TypeScript to call multiple REST APIs via fetch() with transparent credential injection, reducing token usage by keeping intermediate results in the sandbox.

Enables AI assistants to manage Trello boards, lists, cards, comments, checklists, labels, and members through natural language.