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Along turns your team’s scattered knowledge into a structured, AI-queryable knowledge graph. You organize content into Safes — isolated knowledge containers — and connect those Safes to your AI assistant via the Along MCP server. Once connected, your assistant can search documents, retrieve meeting transcripts, query CRM data, and traverse entity relationships to answer questions grounded in your team’s actual knowledge.

Knowledge Graph

Understand how Along structures documents into nodes and relationships for AI retrieval.

Safe Context

Control how your Safe is built and how the AI answers questions using instruction fields.

MCP Connection

Connect your Along account to Claude or ChatGPT via OAuth and start querying your knowledge.

MCP Tools

Reference for the tools available after connecting: list safes, select a safe, and run queries.

How Along works

1

Create a Safe

A Safe is a scoped knowledge container for a team, project, or use case. You ingest documents, meeting recordings, and connected integrations (HubSpot, Gmail, Google Calendar) into the Safe.
2

Configure instructions

Set ingestionInstructions to guide how Along builds the knowledge graph from your content. Set instructions to control how the AI answers questions when querying the Safe.
3

Connect via MCP

Complete the OAuth 2.0 PKCE flow in Claude or ChatGPT to authorize your Along account. Along’s MCP server authenticates you and links your session to the selected Safe.
4

Query your knowledge

Ask questions in natural language. The along tool retrieves grounded answers from the knowledge graph, with context drawn from documents, meetings, CRM records, and entity relationships.