Google Bigtable MCP Server

Interact with your Google Bigtable resources using natural language commands.

Tools

Last Updated

Jun 14, 2026

What is the Google Bigtable MCP Server?

The Google Bigtable MCP server gives AI agents structured, permission-aware access to Google Bigtable through the Model Context Protocol. With 13 pre-built actions, agents can read, create, and update Google Bigtable data on behalf of authorized users.

Willow ships the Google Bigtable MCP server as part of an enterprise control plane. Every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to a full audit trail, and integrates with Splunk and Loki for SIEM visibility. Connect from Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, or any custom agent. Install once, distribute org-wide, and see exactly how Google Bigtable is being used by every AI agent in your stack.

Tools

create_instance

Create a new instance in the specified project. The request requires project_id, instance_id, display_name, and at least one cluster. The instance_id must be RFC 1035 compliant. Each cluster must specify its zone (e.g. us-central1-a). Example: { "project_id": "my-project", "instance_id": "my-instance", "display_name": "This is my instance", "clusters": [ { "zone": "us-central1-a", "serve_nodes": 3, "default_storage_type": "SSD" } ] }

get_instance

Get information about an instance. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "name": "projects/my-project/instances/my-instance" }

list_instances

List information about instances in a project. The request requires the 'parent' field to be set in the format 'projects/{project}'. Example: { "parent": "projects/my-project" }

delete_instance

Delete an instance from a project. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "name": "projects/my-project/instances/my-instance" } Before executing the deletion, you MUST confirm the action with the user by stating the full instance name and asking for "yes/no" confirmation.

create_table

Create a new table in the specified instance.

get_table

Get metadata information about the specified table. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}/tables/{table}'. Example: { "name": "projects/my-project/instances/my-instance/tables/my-table" }

list_tables

List all tables in a specified instance. The request requires the 'parent' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "parent": "projects/my-project/instances/my-instance" }

delete_table

Delete a table. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}/tables/{table}'. Example: { "name": "projects/my-project/instances/my-instance/tables/my-table" } The table must exist. You can use `list_tables` to verify. Before executing the deletion, you MUST confirm the action with the user by stating the full table name and asking for "yes/no" confirmation.

create_logical_view

Create a new Bigtable logical view within a specified instance. The request requires project_id, instance_id, logical_view_id, and logical_view. The logical_view_id can be any name up to 128 characters. Example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-logical-view", logical_view: { "query": "SELECT CF FROM my-table" } }

get_logical_view

Get information about the specified logical view. The request requires the `name` field to be set in the format 'projects/{project}/instances/{instance}/logicalViews/{logical_view}'. Example: { "name": "projects/my-project/instances/my-instance/logicalViews/my-logical-view" }

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Set Up Your Google Bigtable MCP Server in Minutes

Add the following configuration to your MCP client. Authentication is handled via OAuth. Compatible with Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, and any MCP-compatible agent.

Claude Desktop

claude_desktop_config.json

{
  "mcpServers": {
    "willow-google-bigtable": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/google-bigtable"
    }
  }
}

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "willow-google-bigtable": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/google-bigtable"
    }
  }
}

Claude Code

CLI

claude mcp add willow-google-bigtable --transport http https://<org>.mcp-s.com/mcp/mcp/google-bigtable

n8n

HTTP Request Node

{
  "url": "https://<org>.mcp-s.com/mcp/mcp/google-bigtable",
  "method": "POST"
}

Or click "Install with Willow" above to set up automatically with SSO and RBAC preconfigured.

Enterprise Governance for Google Bigtable

Willow adds the layer Google Bigtable and every other SaaS doesn't ship out of the box: every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to full audit logs, and detects shadow AI usage across your stack. One MCP gateway. Any agent. Every tool.

Google Bigtable MCP Server FAQ

What is the Google Bigtable MCP server?

The Google Bigtable MCP server is a Model Context Protocol implementation that lets AI agents like Claude, Cursor, and ChatGPT read and write Google Bigtable data through a standardized interface. Willow hosts and governs this server so enterprises can roll it out without a security review backlog.

How is Willow's Google Bigtable MCP server different from the official one?

The official Google Bigtable MCP server is scoped to a single user's account and does not include enterprise governance. Willow's version adds SSO, RBAC, audit logging, shadow AI detection, and centralized control over which actions agents can take across the entire org.

Which AI clients work with the Google Bigtable MCP server?

Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code with MCP support, n8n, and any custom agent built with OpenAI Agents SDK, LangChain, Vercel AI SDK, or Anthropic SDK.

Is the Google Bigtable MCP server secure? How does Willow handle authentication?

Every call runs behind your existing SSO (Okta, Azure AD). Per-user OAuth scopes the agent to exactly what that user can do in Google Bigtable, nothing more. No credentials reach the LLM. Every action writes to an audit trail.

Can I limit which Google Bigtable actions agents can take?

Yes. Willow lets you scope agents to specific actions, specific projects, or specific environments. Toggle actions on or off in the dashboard, or enforce policy via infrastructure-as-code through GitHub.

How do I detect shadow Google Bigtable MCP servers in my org?

Willow's browser extension and discovery service surface unmanaged MCP servers, skills, and AI agents across the org. If a developer installed an unapproved Google Bigtable MCP locally, you'll see it.

What does the Google Bigtable MCP server cost?

Pricing depends on org size and deployment model (SaaS, dedicated cloud, self-host). See withwillow.ai/pricing or contact sales for a quote.

How do I install the Google Bigtable MCP server with Willow?

Install via the Willow Connect Panel in one click, or paste the JSON snippet above into your Claude Desktop, Cursor, or Claude Code config. SSO and RBAC inherit from your existing Willow setup.