Lark
Lark MCP Server provides a bridge between AI assistants and Lark/Feishu workplace collaboration platform, enabling access to employee information and messaging capabilities through a standardized interface. Built with TypeScript and the Model Context Protocol, it exposes tools for retrieving user data from Lark's Contact API and sending messages to users. The server handles authentication through app credentials provided via command line arguments or environment variables, manages API connections with automatic token management, and properly formats responses for AI consumption. This implementation is particularly valuable for organizations using Lark/Feishu who want their AI assistants to access company directory information 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 2026-09-19.
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
- security
- Source
- PulseMCP
- Repository
- github.com/lorrylockie/lark-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve 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.