Feishu
Feishu Tools MCP Server provides a bridge between Claude and Feishu (also known as Lark), enabling AI assistants to retrieve document content from Feishu's collaborative workspace. Built by Li-vien, this Node.js implementation authenticates with the Feishu API using app credentials and offers a tool for fetching document content by ID. The server supports both HTTP and stdio transport modes, making it versatile for different integration scenarios. It's particularly useful for workflows that require analyzing, referencing, or working with content stored in Feishu documents without manual copying and pasting.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/vienli/lark-tools-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Feishu 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.