Persistent task management and productivity intelligence via MCP. Captures tasks from conversation, plans your day, tracks patterns, and gives personalized recommendations that improve over time.
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Tycana gives Claude persistent memory about your work across conversations. Connect once via MCP, and every session includes your tasks, projects, deadlines, blockers, and computed intelligence from your patterns.
Homepage: tycana.com Getting started: tycana.com/getting-started
https://app.tycana.com/mcp (OAuth 2.1)/plugin install tycana| Tool | Purpose |
|---|---|
capture | Create tasks from conversation context |
complete | Mark items done with outcome and notes |
plan_day | Generate prioritized daily plan |
what_next | Energy-aware next action recommendation |
review | Progress summary with pattern analysis |
get_context | Load current work context |
search | Find items by keyword or filter |
list_items | List items with status/project filters |
get_item | Get full detail on a specific item |
update_item | Modify item properties |
relate_items | Create blocking/dependency relationships |
remember | Store personal preferences and constraints |
cleanup_project | Archive completed items in a project |
delete_item | Remove an item |
"Plan my day"
"Remind me to update the deployment docs before Friday"
"What should I work on next? I have about an hour and low energy"
"How's the infrastructure project going?"
"Review my week"
"Brain dump — I've got a bunch of things rattling around"
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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