Context your AI tools
already wish they had.

Connects Jira, GitHub, Slack, and docs to your AI coding tools — quietly, in the background.

livesources → alrete → tools
ticketclosesrefscommitchangesdeploysdiscussesdecidesreviewpolicyservescontextretrievesaudittestscopeincidentAUTH-412PLAT-2570OPS-119PR #412auth.tsa14f9c#platform#incident@priyaverifyJwtrunbookdeployuse joseread-onlystagingSEC-88test authMCP
$claude mcp add alrete --transport sse https://alrete.com/mcp/sse
  • Workspace-isolated indexes
  • OAuth, read-only scopes
  • No model training on your data
Reads fromJiraGitHubSlackDocs
ServesCursorClaude CodeClineMCP clients

What is a memory layer?

Your work already has memory. It is just scattered across tickets, threads, PR descriptions, and decision docs. Alrete reads from those places and resolves them into one workspace-scoped graph.

Why your AI tools need one.

Coding agents work with whatever context you paste. Alrete serves the right ticket, related PR, and thread where the trade-off was made over MCP, with sources attributed.

01

Ingest

OAuth into Jira Cloud, GitHub Apps, Slack workspaces, and docs. Incremental cursors, per-source rate limits, and retry behavior keep syncs boring.

cursor: 2026-04-30T18:14Z
02

Resolve

Cross-source entity resolution links tickets, PRs, threads, and docs into a temporal graph. Conflicts are resolved on write, not on read.

2,418 cross-source edges
03

Serve

Hybrid retrieval combines vector search, keyword matching, graph walks, and recency. Everything stays workspace-scoped and source-attributed.

p95 retrieval: 142ms

Wire your team's history into your editor.

Free for one workspace, three sources, seven-day retention. No credit card, no sales call.