webex-messaging-mcp-server
MCP ServerKashyap-AI-ML-Solutions/webex-messaging-mcp-server
A Model Context Protocol (MCP) server providing AI assistants with full access to Cisco Webex messaging, rooms, teams, and enterprise collaboration features.
7 9MITUpdated 2026-07-24
77
GreatOverview
This integration exposes 52 specialized tools covering Cisco Webex APIs, enabling AI agents to manage messages, spaces, teams, user memberships, webhooks, and enterprise configurations. It supports dual transport modes (STDIO and HTTP/StreamableHTTP) and offers robust tool discovery and Docker containerization for seamless deployment.
Capabilities
- ▸Send, edit, delete, and retrieve messages
- ▸Create and manage Webex spaces and teams
- ▸Handle memberships and user directory operations
- ▸Configure webhooks and event notifications
- ▸Enterprise features including ECM folders and room tabs
Best for
Automating customer notifications and support workflows directly inside Webex spaces, Setting up incident-response rooms and assigning team memberships programmatically, Managing enterprise content, approvals, and team directories via conversational AI
Works with
Claude CodeCursorGitHub CopilotCodexChatGPTGemini CLI
Evoa Score breakdown= Σ (score × weight)
77Task usefulness20%88 → +17.6
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%85 → +12.8
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%36 → +4.3
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%80 → +12.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%75 → +7.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%35 → +2.8
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total77.0 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Requires sensitive API tokens (WEBEX_PUBLIC_WORKSPACE_API_KEY) to authenticate against Cisco Webex services. Tokens should be kept secret and managed securely through environment variables or local .env files.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.