Best MCP Servers for Microsoft Copilot: Data and Tool AccessMicrosoft Copilot 最佳 MCP Server：数据与工具接入指南

Microsoft Learn MCP is the safest high-value starting point when an agent answers questions about Azure, Microsoft 365, Power Platform, .NET, or other Microsoft products. It searches trusted, current documentation, retrieves full articles, and finds code samples through a remote streamable HTTP endpoint. Because it is primarily retrieval-oriented, its risk surface is narrower than servers that can modify tenant resources.

当智能体需要回答 Azure、Microsoft 365、Power Platform、.NET 等微软产品问题时，Microsoft Learn MCP 是价值高、风险相对低的起点。它通过远程 Streamable HTTP 端点检索最新官方文档、完整文章和代码示例。由于以读取为主，其风险面通常小于能够修改租户资源的 Server。

Use a Microsoft 365 or Graph-backed MCP server when Copilot needs identity, people, files, meetings, mail, calendars, or organizational data. This is the most natural enterprise context layer—but also the most sensitive. Choose delegated versus application permissions deliberately, scope consent to the exact workflow, and keep destructive actions behind confirmation.

当 Copilot 需要身份、人员、文件、会议、邮件、日历或组织数据时，可选择 Microsoft 365 或基于 Microsoft Graph 的 MCP Server。这是最自然的企业上下文层，同时也最敏感。应明确选择委托权限还是应用权限，将同意范围限定到具体工作流，并让破坏性操作始终经过确认。

GitHub MCP gives engineering-focused Copilot agents repository context and structured tools for issues, pull requests, code search, and delivery workflows. Start with read access to a limited repository set. Introduce issue edits, branch changes, merges, or workflow dispatch only after you have approval gates and audit logs.

GitHub MCP 为研发型 Copilot 智能体提供仓库上下文，以及 Issue、PR、代码搜索和交付流程工具。建议从少量仓库的只读权限开始；只有在审批门槛与审计日志完善后，才开放 Issue 编辑、分支修改、合并或工作流触发。

QVeris is useful when the agent needs discoverable, API-backed capabilities beyond one SaaS product—for example current market, company, research, or operational data. Treat it as a controlled tool layer: select only the providers and operations the workflow needs, test output shape and freshness, and keep provenance visible in the final answer.

当智能体需要跨越单一 SaaS 产品、调用可发现的 API 能力时，QVeris 更有价值，例如获取市场、公司、研究或运营数据。应将其视为受控工具层：仅选择工作流需要的服务商和操作，验证输出结构与时效性，并在最终结果中保留数据来源。

Azure MCP suits cloud inventory, diagnostics, resource discovery, and carefully bounded operations. It can turn natural-language requests into actions across Azure services, which makes identity design more important than prompt design. Prefer managed identities or narrowly scoped service principals, separate environments, and read-only diagnostics before write operations. Review its supported services and RBAC behavior in the official Azure MCP Server documentation.

Azure MCP 适合云资源盘点、诊断、资源发现和边界清晰的运维操作。它可以将自然语言请求转化为 Azure 服务操作，因此身份设计往往比提示词设计更重要。应优先使用托管身份或权限收敛的服务主体，隔离不同环境，并先开放只读诊断能力。可在 Azure MCP Server 官方文档中核对支持的服务与 RBAC 行为。

A database server lets Copilot inspect schemas and answer operational questions without exporting entire datasets into static knowledge bases. The production pattern is a dedicated read-only account, approved views, row limits, query timeouts, and a replica or analytics warehouse. Do not expose arbitrary write SQL to a general-purpose agent.

数据库 MCP Server 让 Copilot 可以检查 Schema、回答运营问题，而不必把整套数据导出到静态知识库。生产环境应采用专用只读账户、审核后的视图、行数限制、查询超时，以及只读副本或分析仓库。不要向通用智能体开放任意写 SQL。

Dataverse is a strong fit for Copilot agents that work with Dynamics 365 and Power Platform records. It keeps business entities, relationships, and security roles close to the available actions. Microsoft currently documents the Dataverse MCP Server as a preview, so avoid hard-coded tool dependencies and do not treat it as production-ready without a separate review. Evaluate whether built-in Copilot Studio connectors already satisfy the workflow before adding MCP. See the official Dataverse MCP reference.

对于处理 Dynamics 365 与 Power Platform 记录的 Copilot 智能体，Dataverse 是自然选择。它让业务实体、关系和安全角色靠近可调用的业务操作。微软目前将 Dataverse MCP Server 标注为预览功能，因此不应硬编码依赖其工具名称，也不应在未经单独评审的情况下视为生产就绪。接入 MCP 前，还应确认 Copilot Studio 内置连接器是否已能满足需求。详情参见 Dataverse MCP 官方参考。

Playwright MCP is valuable when a Copilot agent must verify a web experience, reproduce a support issue, or gather evidence from a browser. Use isolated profiles, restrict allowed origins, redact secrets, and require confirmation before form submission, purchase, publishing, deletion, or any irreversible action. The project explicitly notes that Playwright MCP is not itself a security boundary; review the official repository and configuration controls.

当 Copilot 智能体需要验证网页体验、复现支持问题或从浏览器收集证据时，Playwright MCP 很有用。应使用隔离的浏览器配置，限制允许访问的来源，隐藏敏感信息，并在提交表单、购买、发布、删除或其他不可逆操作前要求确认。该项目明确说明 Playwright MCP 本身并不是安全边界，接入前应查看其官方仓库与配置控制说明。