How Memora Integrates with MCP | Developer Guide

How Memora Integrates with Enterprise Systems using MCP

Building an organizational memory system requires one fundamental capability: you must be able to securely access the data where it lives.

A company's context is scattered across Slack, GitHub, Jira, Confluence, and many other tools. In the past, unifying this meant building brittle, custom ETL pipelines.

Memora takes a different approach: it connects to your tools through ready-made integrations, links related work into a knowledge graph, and makes that context available to AI tools through its Model Context Protocol (MCP) server.

The Memora Integration Architecture

Memora connects to your tools through integrations, and exposes what it knows through an MCP Server that works with Claude Code, Cursor and other MCP clients. The server is published on npm as @memora/mcp-server.

How a Question Gets Answered

If an engineer asks about a recent architectural change from their AI coding tool:

1. The MCP client sends the question to Memora's MCP server.
2. Memora looks up the related conversations, PRs, tickets, docs and meetings it has linked in its AI Memory graph.
3. Only content the asking user can already access is used.
4. Memora returns a plain-language answer with links to the sources, ready for the AI context window.

Why This Matters for Security

• Permission-Aware Answers: Answers only draw on content the asker can already access. If a user can't see a private repo in GitHub, their answers won't draw on it.
• Encryption: Data is encrypted at rest (AES-256) and in transit (TLS 1.3).
• No Training on Your Data: Customer content is never used to train AI models, and language-model requests go to an OpenAI Enterprise endpoint with zero data retention.
• Hosting Options: Memora runs on AWS in the USA and EU, and the Enterprise plan uses dedicated single-tenant infrastructure.

Supported Integrations

Memora currently connects to:

• Engineering: GitHub, GitLab, Jira, Linear, Figma
• Communication: Slack, Microsoft Teams, Gmail, plus meeting transcripts from Google Meet, Zoom and Teams (AI Meeting Assistant)
• Documentation: Confluence, Notion, Google Drive
• Support & Business: Zendesk, Zoho

Together with the MCP server, this keeps your organizational memory connected and available wherever your team works.

Learn more:

• MCP Security Deep Dive
• How MCP Servers Work