Feishu (Lark)
Feishu-MCP provides a bridge between AI assistants and Feishu (also known as Lark), ByteDance's workplace collaboration platform. Built by cso1z, this TypeScript implementation enables models to interact with Feishu's API, allowing for document retrieval, messaging, and other collaborative features directly within AI conversations. The server can be run either as a CLI application or HTTP server, with configuration handled through environment variables. It's particularly valuable for teams already using Feishu who want to integrate AI assistants into their existing workflow without switching contexts.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- file-system
- Source
- PulseMCP
- Repository
- github.com/cso1z/feishu-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Feishu (Lark) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.