pulsemcp verified Safe content atomic mcp-remote

Lark Bitable

Bitable MCP Server provides access to Lark Bitable through the Model Context Protocol, allowing AI assistants to interact with Bitable tables using SQL-like queries. Built by lloydzhou, it leverages the pybitable library to establish connections to Lark's API and offers three main tools: listing available tables, describing table schemas, and executing read queries against the data. The implementation requires Lark API credentials (personal base token and app token) and supports one-click installation for Claude Desktop, making it ideal for workflows that need to analyze or reference structured data stored in Lark Bitable without leaving the conversation interface.

Cognium trust score

92%

Tier

Verified

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: api-integration
Source: PulseMCP
Repository: github.com/lloydzhou/bitable-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Lark Bitable 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"