Honest comparisons

We're not for everyone.
Here's when we are.

Pick a tool. We'll tell you when they're the right call, when we are, and what the matrix actually looks like.

compare with —
Notion AIMemGleanTanaObsidian
bcontext vs Notion AI

Both ship MCP. The difference is what they expose through it — and what it costs.

Capability
Notion AI
bcontext
Exposes an MCP server
yes
yes
Typed knowledge graph
no
yes
Idempotent agent writes
no
yes
Autonomous agents in product
yes
no
AGENTS.md / .cursor/rules generator
no
yes
EU data residency
Enterprise only (Aug 2025)
Default (Frankfurt)
Zero LLM retention
Enterprise only
All plans
AI on the cheapest paid plan
No — Business $20/seat
Yes ($19 solo)
Free tier with real AI quota
Limited trial blocks
100 queries/mo
Comparison updated 2026-05-12. Filed an inaccuracy? Email founders@bcontext.es — we update within a week.
Honest framing

When each is the right call.

Pick Notion AI if…

  • ·Where Notion wins, decisively: distribution and lock-in. Millions of teams already have their content in Notion, and the switching cost is non-trivial. The block model, synced databases, Notion Calendar, Notion Mail, and the template ecosystem are mature in a way Bcontext will never out-iterate.
  • ·Notion 3.0 Agents are also legitimately good. They run inside the workspace, hold context across multi-step tasks, and integrate with Notion's connector library (Slack, Drive, GitHub, Linear, Jira). For a Notion-centric team, that's a much smaller leap than adopting a new tool.
  • ·And the compliance surface — SOC 2 Type 2, HIPAA, GDPR, EU residency, SCIM, DLP — is already box-checked for enterprise procurement. A small team that expects to grow into a 200-seat tenant will save effort later by being on Notion now.

Pick bcontext if…

  • Typed nodes through MCP, not pages — Bcontext's MCP exposes kind-aware tools: search_nodes by kind, get_node returns typed metadata, link_nodes uses typed edges. The agent doesn't have to reverse-engineer your database schema.
  • Idempotent writes the agent can retry — POST /api/agents/write accepts Idempotency-Key. Same key returns the same response on retry. Notion's API has no equivalent — a retried call can create duplicates.
  • EU + zero retention on every plan — Frankfurt hosting and Gateway-enforced zero LLM retention are defaults, not Enterprise add-ons. SOC2 Type II audit scheduled 2026.

Rule of thumb · Pick Notion if you already live there and Business-tier pricing fits. Pick Bcontext if you want typed-graph MCP at solo/small-team pricing, with EU residency and zero LLM retention on every plan.

Migration · from Notion AI

Bring your content. We won't hold it hostage.

Markdown export at any time. Re-imports are idempotent — running the migration again updates in-place instead of duplicating.

1

Export

Most tools support a markdown or JSON export. Drop the folder into the bcontext importer — sub-folders become folder nodes, pages become docs.

$ bcontext import ./notion-ai-export
2

Re-type

Run the auto-typer to suggest kinds — tasks, decisions, runbooks, meetings — based on title patterns and frontmatter. Review the diffs as proposals.

$ bcontext skill run auto-typer
3

Verify

Side-by-side view of original + bcontext-typed nodes. Accept what's right, reject what's noise. The whole thing exports back to clean markdown anytime.

$ bcontext export ./out
Under the hood

The why, in three paragraphs.

Now that both products ship MCP, the comparison shifts from "do you have an agent surface?" to "what do you expose through it, and at what price?" Notion's hosted MCP returns pages and database rows — the same pages-as-primitive shape Notion has always had. That's familiar, but lossy for agents: a decision and a freeform doc look the same to the retriever unless you've hand-built a database with the right properties. Bcontext's MCP exposes typed nodes (`doc`, `task`, `decision`, `meeting`, `bug`, `adr`, `skill`) with kind-aware fields. The retriever knows an ADR has a `status` and a decision has a `decided_at` without you engineering anything.

Write semantics matter more than they look. Notion's API doesn't expose an idempotency primitive — if your agent's network blip causes a retry, you can end up with two copies of the same task. Bcontext's `POST /api/agents/write` accepts an `Idempotency-Key` header and returns the same response on retry within a 10-minute window. Background workers, n8n flows, and Claude Code retry loops stop creating duplicates the moment you wire this in.

Pricing access is the under-discussed axis. Notion's AI suite — Ask Notion, Agents, Enterprise Search — lives in the Business tier at $20/seat/mo annual, with the old standalone $10 add-on retired in May 2025. A 5-person team running Notion 3.0 lands around $100/mo before Custom Agent credits. Bcontext Pro at $19/mo flat covers solo users including 1,500 AI queries; the Team plan is $29/seat. Same MCP primitive, very different floor for the segment under 15 seats.

FAQ · Notion AI

Common questions about Bcontext vs Notion AI.

next step

Try the workspace — without leaving Notion AI.

The importer runs both ways. Keep your existing tool live, add bcontext as the agent surface, decide later.

Get early access See pricing
no credit card · invite-only beta · prices locked when your invite lands