zoom-mcp
Guidance for the bundled Zoom MCP connectors. Use after routing to an MCP workflow when planning or troubleshooting tool-based access to meetings, recordings, meeting assets, or transcripts. Route Zoom Docs requests to the dedicated Docs MCP server and Whiteboard-specific requests to `zoom-mcp/whiteboard`.
What this skill does
# Zoom MCP Guidance for the bundled Zoom MCP connector in this Claude plugin. Prefer `design-mcp-workflow` or [setup-zoom-mcp](../setup-zoom-mcp/SKILL.md) first, then route here for tool-surface details, auth expectations, and MCP-specific constraints. # Zoom MCP Server This plugin bundles Zoom's hosted MCP server at `mcp-us.zoom.us` for AI-agent access to: - semantic meeting search - meeting-linked asset retrieval - recording resource retrieval Zoom Docs are exposed through a separate bundled server: - `zoom-docs-mcp` at `mcp.zoom.us` - purpose-built for Zoom Docs creation and retrieval Current tool names from the main Zoom MCP server: - `get_meeting_assets` - `search_meetings` - `get_recording_resource` - `recordings_list` Some MCP clients namespace server tools in the UI, for example `zoom-mcp:recordings_list`. Treat the raw tool names above as authoritative. Zoom Docs-specific MCP work should use the dedicated `zoom-docs-mcp` server. Whiteboard-specific MCP work is covered by the dedicated skill [whiteboard/SKILL.md](whiteboard/SKILL.md). ## Quick Start **1. Export the token expected by the bundled connector:** ```bash export ZOOM_MCP_ACCESS_TOKEN="your_zoom_user_oauth_access_token" ``` **2. Enable or restart the plugin so Claude restarts the bundled MCP server definition.** **3. Verify discovery:** - Confirm the client can see `recordings_list`, `search_meetings`, `get_meeting_assets`, and `get_recording_resource`. - If the client exposes raw protocol inspection, `tools/list` is the authoritative discovery source. - The current catalog is documented in [references/tools.md](references/tools.md). **4. Run the first useful call:** ```text recordings_list userId: "me" from: "2026-03-01" to: "2026-03-06" page_size: 10 ``` ## Critical Notes **1. User OAuth is the documented execution path** Use a **General app** with **user-level OAuth** as the execution path for Zoom MCP tool use in this plugin. Do not rely on Server-to-Server OAuth as a supported MCP auth model here. **2. Zoom MCP uses MCP-specific granular scopes** The Zoom MCP scope set is not the same as the older broad REST scopes. The key scopes for the main Zoom MCP server are: - `ai_companion:read:search` — Search across Zoom Meeting, Zoom Chat, and Zoom Doc, returning the most relevant results based on the query - `meeting:read:search` — Search and view meetings - `meeting:read:assets` — View a meeting's assets - `cloud_recording:read:list_user_recordings` — Lists all cloud recordings for a user. - `cloud_recording:read:content` — read recording content scope - `docs:write:import` — Create a new file by import - `docs:read:export` — Read file content in Markdown format For Zoom Docs MCP specifically, the official docs page shows these granular scopes for the documented tools: - `docs:write:import` — Create a new file by import - `docs:read:export` — Read file content in Markdown format **3. AI Companion features are feature prerequisites, not scope substitutes** Semantic meeting search, meeting assets, and recording-content retrieval depend on account features such as **Smart Recording** and **Meeting Summary** for useful results. These feature settings do not replace the required OAuth scopes. **4. Whiteboard is a separate MCP surface** The Zoom MCP endpoint and the Whiteboard MCP endpoint are separate. Route Whiteboard-specific requests to [whiteboard/SKILL.md](whiteboard/SKILL.md). **5. Use REST for deterministic meeting CRUD** The current Zoom MCP tool surface does not expose deterministic meeting create, update, or delete tools. If the user needs explicit meeting CRUD operations, route to [../rest-api/SKILL.md](../rest-api/SKILL.md). ## Server Endpoints | Transport | URL | |-----------|-----| | Streamable HTTP (recommended) | `https://mcp-us.zoom.us/mcp/zoom/streamable` | | SSE (fallback) | `https://mcp-us.zoom.us/mcp/zoom/sse` | Dedicated Docs MCP server: | Transport | URL | |-----------|-----| | Streamable HTTP (recommended) | `https://mcp.zoom.us/mcp/docs/streamable` | | SSE (fallback) | `https://mcp.zoom.us/mcp/docs/sse` | Dedicated Whiteboard MCP skill: - [whiteboard/SKILL.md](whiteboard/SKILL.md) ## Search and Retrieval Model `search_meetings` uses AI Companion retrieval rather than a plain metadata filter. In this use the live MCP server as authoritative for response schema and scope behavior. Two result families matter most: - **Recap-oriented results**: AI summary, meeting-linked documents, recordings, and related assets - **Recording-oriented results**: cloud recording references and transcript-capable resources Use [examples/transcript-retrieval.md](examples/transcript-retrieval.md) for the main retrieval workflow. ## Tool Catalog | Tool | Key Parameters | Required Scope | |------|---------------|----------------| | `get_meeting_assets` | `meetingId`* | `meeting:read:assets` | | `search_meetings` | `q`, `from`, `to`, `page_size`, `next_page_token` | `meeting:read:search` | | `get_recording_resource` | `meetingId`*, `types`, `clip_num`, `play_time`, `raw_passcode`, `encode_passcode` | `cloud_recording:read:content` | | `recordings_list` | `userId`*, `from`, `to`, `meeting_id`, `trash`, `trash_type`, `page_size`, `next_page_token` | `cloud_recording:read:list_user_recordings` | \* Required parameter Full parameter and output guidance: [references/tools.md](references/tools.md) ## Key Workflows **Search meeting content, then retrieve assets:** ```text search_meetings q: "Q4 planning discussion" from: "2026-03-01" to: "2026-03-06" → choose a returned meeting → get_meeting_assets meetingId: "MEETING_ID_OR_UUID" ``` **List recordings, then retrieve recording resources:** ```text recordings_list userId: "me" from: "2026-03-01" to: "2026-03-06" → choose a recording target → get_recording_resource meetingId: "MEETING_UUID_OR_RECORDING_ID" ``` **Create or fetch a Zoom Doc:** - use the dedicated `zoom-docs-mcp` server rather than the main `zoom-mcp` server - official documented tools on the Zoom Docs MCP page are: - `create_file_with_content` - `get_file_content` ## Error Reference | Code | Meaning | Fix | |------|---------|-----| | `401 Unauthorized` | Missing or rejected bearer token at the endpoint | Set `ZOOM_MCP_ACCESS_TOKEN`, then restart Claude or re-enable the plugin | | `-32001 Invalid access token` | Token expired, malformed, or missing required scopes | Refresh OAuth token and verify the MCP-specific scopes | | `-32602 Can not found tool` | Requested tool name is not exposed by the active MCP server | Re-run `tools/list` and use the current tool names for that endpoint | | `404` | Possible downstream resource-not-found response | Re-discover the target with `search_meetings` or `recordings_list` | Full error reference: [references/error-codes.md](references/error-codes.md) ## Documentation ### Concepts - [concepts/mcp-architecture.md](concepts/mcp-architecture.md) — MCP protocol, hosted endpoints, discovery, and capability model - [concepts/oauth-setup.md](concepts/oauth-setup.md) — OAuth app creation, MCP-specific scopes, AI Companion prerequisites, token lifecycle ### Examples - [examples/transcript-retrieval.md](examples/transcript-retrieval.md) — Search/assets and recording-resource workflows - [examples/create-zoom-doc.md](examples/create-zoom-doc.md) — Verified Zoom Docs creation flow - [examples/search-and-act.md](examples/search-and-act.md) — Search, inspect assets, and hand off CRUD work to REST when needed - [examples/meeting-lifecycle.md](examples/meeting-lifecycle.md) — Why meeting CRUD belongs in REST, plus the MCP-to-REST handoff pattern ### References - [references/tools.md](references/tools.md) — Current Zoom MCP tool reference - [references/error-codes.md](references/error-codes.md) — MCP and Zoom API errors with fixes - [whiteboard/SKILL.md](whiteboard/SKILL.md) — Dedicated Whiteboard MCP skill ### Troubleshooting - [troubleshooting/common-errors.md](troubleshooting/common
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.