For Engineering Teams · Coming 2026

The engineering surface is
coming in 2026.

A dedicated MCP-native interface for teams shipping coding agents — with engineering-grade ingestion (GitHub, Linear, Jira), ADR/PR/incident extraction, and native integration with Claude Code, Cursor, Cline, and GitHub Copilot.

Today, Gheist is the Company Brain for fast-moving teams. We capture what your team says, decides, and ships across Slack, meetings, and shared docs — and serve that context to humans and agents alike.

The dedicated engineering surface (with the named MCP tools and code-specific extractors) is on the 2026 roadmap. Join the waitlist and we'll let you know when it ships.

What's coming

The engineering surface, in detail.

Native MCP server

A standalone MCP server that runs locally, holds your tenant API key, and proxies typed tools to the Gheist backend. Drop-in for Claude Code, Claude Desktop, Cursor, Cline, and any MCP-compatible agent.

Engineering-grade ingestion

GitHub, GitLab, Linear, Jira, Sentry, PagerDuty, Datadog. PRs, issues, postmortems, runbooks — extracted into typed KnowledgeUnits with full provenance to the commit and line.

Typed code-decision extraction

ADRs, PR rulings, incident postmortems, runbooks, gotchas, ownership maps, and conventions — automatically detected and structured from your engineering signal.

Agent-recorded learnings

Coding agents can write learnings back to the graph through the MCP write tools — pending human validation. Your team's memory compounds with every agent run.

In the meantime,
build the Company Brain.

The engineering surface ships in 2026. The Company Brain — Slack, meetings, and Drive ingestion with cited human-facing answers — is live today. Connect it now and give your team the memory layer your future engineering surface will sit on top of.