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Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

This MCP tool server, developed by David Wurtz at Qodo AI, provides a stateful terminal interface for AI interactions. Built with Python and leveraging libraries like pexpect, it offers a persistent environment for command execution and output capture. The implementation focuses on maintaining session state across multiple interactions, enabling complex, multi-step operations. By providing a stateful terminal, this server allows for sophisticated scenarios like running long-running processes, interactive debugging, or step-by-step system configuration. It's particularly useful for AI assistants or applications that need to perform sequential terminal operations or maintain context across multiple commands.

Search quiz-backed Skills Wallets across 16+ career pathways. Ranked by North Star fit, literacy credentials, and career evidence. Recruiter links for human review on every match.

Enables AI assistants to operate a banking fraud detection system by providing tools for submitting transactions, reading alerts, checking risk, and freezing/unfreezing accounts, with fraud rules enforced in-database.

Provides real-time and historical cryptocurrency market data using ccxt, enabling users to fetch live prices, historical candlestick data, and stream real-time ticker updates across multiple exchanges.

MCP server for TickTick task management. Enables AI assistants to create, update, list, search, and complete tasks via natural language.

Builds and serves local MCP-searchable documentation indexes for Daml, Canton, and related projects, enabling search and query of documentation through MCP tools.

Connects MCP clients to local language models running via llama-server or Ollama to offload bulk generation tasks to local GPU. Provides 8 tools for text generation, code generation, code review, refactoring, testing, debugging, multi-turn chat with session history, and usage metrics tracking.

MCP server for Mender IoT device management platform that provides AI assistants with comprehensive access to device fleets, deployments, artifacts, releases, and audit logs through Personal Access Token authentication. The implementation features robust security controls including automatic credential masking, input validation with Pydantic models, error sanitization to prevent information leakage, and comprehensive logging with sensitive data filtering. Built with Python and httpx for API communication, it supports both read-only operations (device status, inventory attributes, deployment logs) and monitoring capabilities (audit trails, group management) with fallback mechanisms for different Mender API versions. Designed for DevOps teams managing IoT deployments who need AI-assisted device fleet monitoring, deployment tracking, and troubleshooting workflows while maintaining security best practices for production environments.

Bridge two local AI agents - MiMoCode (an OpenCode fork) and Hermes Agent - bidirectional MCP + CLI, with a verifiable self-check.

🧩 **WeCom & Feishu OpenAPI MCP 插件** 英文名称： wecom-feishu-openapi-mcp 中文名称： 企业微信 & 飞书 OpenAPI 文档聚合 MCP 插件 来源地址： https://github.com/wxkingstar/doc-hub-mcp ⸻ 📖 插件简介 wecom-feishu-openapi-mcp 是一款面向企业开发者的 Model Context Protocol（MCP）插件，用于聚合和统一访问 WeCom 与 飞书（Feishu）的开放接口文档。 插件将官方 OpenAPI 文档进行结构化、标准化处理，开发者可通过 MCP 客户端实现接口搜索、补全、上下文调用，无需再反复查阅繁杂的官方文档，大幅提升企业应用的集成与自动化效率。 ⸻ 🚀 核心特性 • 🧾 OpenAPI 文档聚合：统一收录 WeCom 与 Feishu 官方 API，支持标准 OpenAPI Schema。 • 🧭 上下文接口搜索：通过 MCP 客户端即可快速检索接口定义、参数与返回值结构。 • 🔐 权限与安全提示：接口权限、认证方式一目了然，避免集成踩坑。 • 🤖 自动化集成场景友好：适用于 Bot/Agent 开发、工作流自动化、企业内部工具集成。 • 🧰 CLI 一键启动：无需繁琐部署，通过 npx doc-hub-mcp@latest 即可启动服务。 ⸻ 🏗️ 典型使用场景 • 构建企业内部集成（ERP/CRM/IM 工具对接） • 快速开发飞书/企微 Bot • 搭建自动化工作流（如审批流、通知系统、机器人助手） • 接口调试与研发协同文档平台 • 与 AI Agent 结合，实现智能调用企业 IM 系统 API ⸻ 🛠️ 安装与启动 npx -y doc-hub-mcp@latest 或在 mcp配置中注册： ```json { "mcpServers": { "search-docs": { "args": ["-y", "doc-hub-mcp@latest"], "command": "npx" } } } ``` ⸻ 📚 OpenAPI 数据来源 • WeCom（企业微信）官方开放接口文档 • Feishu（飞书）官方开放接口文档 • 所有文档通过 OpenAPI Schema 进行结构化聚合，保持与官方同步。 ⸻ 🧑‍💻 作者信息 • 👤 作者：wxkingstar • 🌐 仓库：GitHub • 📧 联系：wx012@qq.com（如有问题或合作意向可联系） ⸻ 🪄 标签（Tags） wecom,feishu,lark,openapi,api,mcp,mcp-plugin,integration,api-docs,workflow-automation,enterprise,china,saas,bot-development,developer-tools ⸻

Connects AI agents to Telegram via the official TDLib library, enabling tools like getting user info, listing dialogs, and searching messages.

Provides AI-powered web search, full-page content extraction, and search-enhanced Q\&A capabilities via the Metaso AI search engine. It enables large language models to access diverse information across web, academic, and multimedia sources with structured Markdown or JSON output.

Query for gas stations in Quebec. Uses data from Régie Essence Québec

Starter kit for building stateless MCP servers using the 2026 spec, enabling horizontal scaling without session affinity.

A bridge between AI assistants and ArXiv's research repository that enables searching, downloading, and reading academic papers through the Message Control Protocol.

Enables AI agents to query a cross-disciplinary knowledge graph covering metaphysics, quantum physics, astronomy, and historical geography, with semantic search and relationship discovery.

Unified MCP server for Gameball's documentation and API integration, enabling documentation search, code generation, and API operations for customers, transactions, orders, coupons, and more.

A Model Context Protocol server that provides video manipulation capabilities, allowing users to clip, merge, and split video files through MCP integration.

Enables natural language interaction with a Panelica hosting panel to manage domains, SSL, databases, services, and more through any MCP client.