This MCP server implementation provides a bridge between the Model Context Protocol and Tana's Input API, enabling AI models and MCP clients to create and manipulate data in Tana workspaces. Developed by Tim McDonnell, it supports a wide range of operations including creating various node types, applying supertags, and managing complex node structures. The server is particularly useful for integrating Tana's structured note-taking capabilities into AI-assisted workflows and automating data input tasks.
Cognium trust score
50%
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.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.