Give every agent your team's ground truth.
Every modern company is shipping agents — support, sales, coding, internal Q&A. They all share one failure mode: they confidently make things up. Praana is the MCP context server for all of them. The same shipped-vs-promised reality your team trusts — with receipts.
Support bots that don't lie to your customers.
Your support agent reads the same shipped-vs-promised reality your engineering team trusts. The bot stops saying "yes, that’s fixed" when the patch is still in review. Every answer to the customer ties back to a ticket, a PR, and a release — with the workaround for older versions, if there is one.
Yes — fixed in v2.18, deployed Apr 22. Your workspace was auto-upgraded to v2.19 yesterday, so you’re clear to roll out the new plan on Monday. If anyone reports the old behavior, ask them to hard-refresh; it's a service-worker cache thing.
Sales calls walked into with receipts, not vibes.
Before the renewal call, your sales agent pulls every commitment made to the account — the status of each, the customer asks tied to them, the engineering owners. The AE walks into the call lead with what shipped, with receipts; honest about what didn’t, with a date. No more overpromising. No more leaving wins on the table.
You promised AcmeCo 3 things at the Q1 QBR. 2 are shipped; the third is in RFC, target Q3. The CISO at AcmeCo (Mei Lin) escalated SCIM twice in the last 6 weeks — lead with the audit-log win, then bring receipts for SCIM and the Q3 date.
- ✓ SHIPPEDSSO via Oktashipped Feb 14 · v2.11 · ADR-073
- ✓ SHIPPEDAudit log exportshipped Mar 28 · v2.16 · PR #1108
- → RFCSCIM provisioningin RFC · target Q3 · owner: Sasank · linked to ADR-091
The agent reads your incident history before it refactors.
Cursor, Claude Code, Copilot, Devin — over MCP, they read your team’s ADRs, incident postmortems, and active feature flags before they touch a line of code. Refactors stop reintroducing the migration the team explicitly abandoned. Migrations stop trying the path that was reverted three months ago.
Build any agent, on the same context layer.
Anthropic SDK, OpenAI SDK, LangGraph, Vercel AI SDK — Praana exposes the same MCP server to all of them. Workspace-scoped, read-only by default, per-agent rate limits, audit log for SOC 2. Your engineering org doesn’t need to rebuild context retrieval for every new agent your company decides to ship.
// One MCP server. Any framework. import { Anthropic } from "@anthropic-ai/sdk"; import { connectMcp } from "@praana/mcp"; const praana = await connectMcp({ url: "https://acme.praana.app/mcp", workspace: "checkout-platform", scope: "read", // read-only by default agent: "renewal-prep-bot", // per-agent rate limit + audit log }); // Praana attaches as MCP tools. Your agent decides when to call them. const reply = await anthropic.messages.create({ model: "claude-sonnet-4", tools: [...praana.tools], messages: [{ role: "user", content: prompt }], });
A complete MCP server for context.
Everything an agent needs to read your team’s reality — with the same source-of-truth guarantees your humans already trust.
Bring shared context
to your whole company.
We’re rolling Praana out with a small set of teams to start. Get on the list — we’ll reach out personally from admin@getpraana.com.
We read every signup and reply personally.