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Webex MCP Server

MCP Server

AI‑powered integration with Cisco Webex messaging

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Updated Sep 23, 2025

About

A Model Context Protocol server that equips AI assistants with full access to Cisco Webex messaging, providing 52 tools for messages, rooms, teams, people, webhooks and enterprise features.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Webex MCP Server Badge

The Webex MCP Server bridges AI assistants with Cisco Webex’s rich messaging ecosystem, enabling developers to embed real‑time communication directly into conversational flows. By exposing 52 distinct tools—spanning messages, rooms, teams, people, webhooks, and enterprise features—the server turns Webex’s REST API into a first‑class set of actions that an AI can invoke, interpret, and chain together. This eliminates the need for developers to write custom HTTP clients or manage OAuth flows manually; instead, a single token and the MCP protocol handle authentication and request orchestration.

For developers building AI‑powered workflows, this server offers a turnkey solution for tasks such as posting status updates, creating collaborative spaces on demand, automating team onboarding, or monitoring message streams via webhooks. The breadth of coverage means that almost every common Webex operation is available as a discrete, type‑safe tool, allowing AI assistants to construct complex sequences—e.g., “create a room, invite the relevant users, post an introductory message, and set up a webhook to notify the assistant when new messages arrive.” The dual transport support (STDIO and StreamableHTTP) ensures compatibility with a wide range of deployment environments, from local development to cloud‑native orchestrators.

Key capabilities include:

  • Complete API coverage: Every major Webex messaging endpoint is represented, ensuring no feature gap.
  • Enterprise‑ready authentication: Built‑in support for Cisco’s enterprise token schemes and secure credential handling.
  • Docker‑ready packaging: A ready‑to‑run container image simplifies CI/CD pipelines and microservice architectures.
  • Centralized configuration: Environment variables manage tokens, endpoints, and optional settings in a single place.
  • Robust error handling: TypeScript definitions guarantee predictable responses, while the MCP protocol propagates meaningful error messages back to the AI.

Real‑world scenarios benefit from this integration include automated meeting room creation for remote teams, instant notification of compliance events via webhooks, or a virtual assistant that can schedule and manage Webex spaces as part of a larger workflow. By treating Webex operations as first‑class tools, developers can focus on business logic rather than plumbing, leading to faster iteration and more reliable AI‑driven communication solutions.