Browse MCP servers — page 70

Self-hosted AI visibility tracking server that runs as a single binary with your own keys and data. It creates and migrates its own SQLite database on first start and serves a dashboard at localhost:1515.

Marinade Finance MCP Server is an MCP server specifically designed for interacting with Marinade Finance on the Solana network. It provides advanced functionalities such as querying the official Marinade Finance documentation, retrieving protocol state information, managing liquid staking operations (stake/unstake), checking mSOL balances, and sending mSOL tokens between wallets. Requires environment variables configuration via .env file for PRIVATE_KEY, SOLANA_RPC_URL, SOLANA_RPC_URL_DEVNET, ENVIRONMENT, USE_STREAMABLE_HTTP, PORT, and HOST.

A powerful Model Context Protocol (MCP) server that provides automated web accessibility scanning and browser automation using Playwright and Axe-core. Enables LLMs to perform WCAG compliance checks, interact with web pages, manage persistent browser sessions, and generate detailed accessibility reports with visual annotations.

用于操作 Google 电子表格和 Google 云端硬盘文件的 MCP 服务器工具，支持 AI 助手对这些文件的操作。需要通过环境变量 MCPGS_CLIENT_SECRET_PATH 和 MCPGS_TOKEN_PATH 配置 Google API 客户端密钥和令牌文件。

用于与 Snowflake 数据库交互的 MCP 服务器。需要在项目根目录中放置一个包含 Snowflake 凭据和配置（SNOWFLAKE_USER、SNOWFLAKE_PASSWORD、SNOWFLAKE_ACCOUNT、SNOWFLAKE_DATABASE、SNOWFLAKE_WAREHOUSE）的 .env 文件。

一个支持模型上下文协议（MCP）的服务器，用于验证和渲染 Mermaid 图表。该服务器使大型语言模型（LLMs）能够验证并渲染 Mermaid 图表。

Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking. Supports dynamic API version selection via AIRFLOW_API_VERSION environment variable.

一个 MCP 服务器，通过简单的 API 接口提供对 GitHub 趋势仓库和开发者数据的访问。

一个提供工具以执行Ledger（一个强大的命令行会计系统）命令的Model Context Protocol（MCP）服务器。需要在系统中安装并可在PATH中访问Ledger CLI。必须通过LEDGER_FILE环境变量或命令行参数提供Ledger文件的路径。

一个 MCP 服务器，使用 TypeDoc JSON 文档回答关于 TypeScript API 的问题。需要一个由 TypeScript API 文档生成的 TypeDoc JSON 文件（例如 docs/api.json），作为命令参数传入。

A guardrailed MCP server that lets AI agents operate multi-cluster Kubernetes fleets through an Open Cluster Management hub. Requires external configuration via environment variables such as OCM_MCP_HUB_CONTEXT and OCM_MCP_SPOKE_CONTEXTS to specify Kubernetes contexts for the hub and spoke clusters.

Deterministic document infrastructure for LLM pipelines including canonicalization, schema validation, grammar compilation, and MCP tools for durable AI artifacts. Installable via pip. No external data files required via environment variables.