Browse MCP servers — page 31

Typst MCP Server is an MCP implementation that helps AI models interact with Typst, a markup-based typesetting system. It provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code. Requires external Typst documentation JSON data generated via a cargo command as described in the README.

MCP server implementation for VictoriaMetrics providing access to VictoriaMetrics instance APIs for monitoring, observability, and debugging. Configured via environment variables for VictoriaMetrics instance URL and authentication.

1Panel MCP 服务器是 1Panel 的模型上下文协议（MCP）服务器实现。它支持 stdio 和 sse 运行模式，并且需要通过环境变量配置的 1Panel 访问令牌和主机 URL。

A .NET-powered Model Context Protocol (MCP) server for Microsoft SQL Server. Requires the MSSQL_CONNECTION_STRING environment variable to provide the SQL Server connection string.

AIRIS MCP Gateway provides a fast, token-efficient way to access 60+ AI tools via Dynamic MCP with 7 meta-tools. Supports optional API key authentication via AIRIS_API_KEY environment variable. Configuration can be customized via environment variables and mcp-config.json file.

用于任何 MCP 客户端的通用模型上下文协议（Model Context Protocol）服务器。需要通过环境变量 MCP_PROMPTS_CONFIG_PATH 设置外部提示配置 JSON 文件路径。

MCP server for searching Solodit smart contract security findings. Requires an external Solodit API key configured via the environment variable SOLODIT_API_KEY.

ReActMCP Web Search 是一个集成了使用 Exa API 的网页搜索功能的 MCP 服务器。它需要在 .env 文件中配置的 EXA_API_KEY 环境变量以访问 Exa API。支持基本和高级网页搜索，结果采用 markdown 格式。

通过自然语言使用模型上下文协议（MCP）控制虚幻引擎 5.5 及以上版本。利用 AI 驱动的命令构建复杂的 3D 场景、物理模拟和建筑结构。需要虚幻引擎 5.5+ 和 Python 3.12+。通过在 Python 目录中运行脚本 'unreal_mcp_server_advanced.py' 启动服务器。

一个强大的知识图谱服务器，面向AI代理，基于Neo4j构建并集成了模型上下文协议（MCP）。配置需要环境变量，包括OPENAI_API_KEY、MODEL_NAME和Neo4j连接设置。

Magg is a meta-MCP server that manages, aggregates, and proxies other MCP servers, enabling LLMs to dynamically extend their own capabilities. It supports configuration persistence in .magg/config.json and offers multiple transport modes including stdio and HTTP.

Agent Skills for ServiceGraph — structured, metrics-enriched business datasets your agent can filter, rank, and pull contact data from. Requires an API key set as SERVICEGRAPH_API_KEY in environment variables or .env.local file.