smithery Safe content atomic container

Tycana

Your AI assistant is brilliant but amnesiac. Every conversation starts from zero — no memory of what you captured yesterday, no awareness of what's overdue, no sense of your work patterns. You re-explain your priorities every morning. Tycana fixes this. Tycana is a productivity backend built for AI reasoning, not human browsing. Connect your AI once via MCP (Model Context Protocol), and every conversation automatically includes your full work picture: active projects, upcoming deadlines, blocked items, and computed intelligence about your patterns. It knows your typical completion velocity, spots work that's stalling before you notice, and calibrates its suggestions to how you actually work — not how a generic algorithm thinks you should. This isn't another task app with an AI bolted on. There's no UI to check, no lists to reorganize, no weekly reviews to dread. Tycana is infrastructure that sits behind your AI conversation, making every interaction smarter. Capture tasks by talking. Get your day planned by asking. Let your AI handle the overhead of staying organized — because it finally has the context to do it well.

Cognium trust score
30%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-08-24.

Scan details: Circle-IR · 2026-08-24 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Category
productivity
Source
Smithery
Author type
human
Last scanned
2026-08-24
Updated
2026-08-24
View source Find related skills

Use via MCP

MCP

Resolve Tycana from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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