"Information about Google Workspace" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Resolve part problems, check compatibility and identify only the information still missing.
Interact with your Google Bigtable resources using natural language commands.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Interact with your Google Cloud Datastream resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Interact with your Google Cloud Firestore resources using natural language commands.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
Gives an agent read-only access to a SIGNLD workspace: list data connections and table schemas, run read-only SQL over the data, and read the knowledge graph, entities, metrics, and topics. It can also create and update knowledge graph elements and topics, build charts from query results, and save standalone HTML dashboards.
Explore your databases, validate SQL, and build & publish data apps in your Mako workspace.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.
