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Let AI agents query and manage company knowledge in a Supabase GraphRAG store.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "company-brain-mcp" yet — see the docs or source repo.
Please retrieve an account's details, the last three meeting notes, and related call logs from the company knowledge base, then summarize the key takeaways in chronological order.
A structured summary of the account, meeting notes, call logs, and the main findings in time order.
Help me find an employee's team, reporting line, and the key people related to that team.
An overview of the employee's team, org hierarchy, and a list of related people.
Search the company knowledge base for documentation about a product feature and summarize the feature details and available context.
Relevant product documents with concise summaries for quick feature understanding.
Product managers or office workers can let an AI agent query the company knowledge base directly for accounts, meetings, people, or product documents. It helps reduce time spent searching across multiple systems.
Teams can use meeting notes and call logs together to quickly review a customer's communication history and key decisions. This is useful for handoffs, retrospectives, or preparing for the next meeting.
Researchers or managers can query people data and org hierarchy to understand team structure and related contacts. This is useful for internal collaboration prep or background research.
Based on the description, it can query and manage company knowledge in a Supabase GraphRAG store, including accounts, meetings, people, org hierarchy, product docs, and call logs.
Yes. The description explicitly says it works with a Supabase GraphRAG store. For the exact schema or configuration, see the source repository.
The provided information does not include installation steps or prerequisites. For integration details, required keys, and environment setup, see the source repository.
Query a company knowledge base and get accurate answers from internal documents.
Query and store private company notes with embeddings and LLM-assisted reasoning.
Query company, contact, and pipeline CRM records through natural language.
Provides shared persistent knowledge-graph memory across Claude installations with concurrent access.
Expose internal company services as tools for AI-driven business operations.
Query company databases in natural language with read-only safety and agentic recovery.