Tana▌
by tim-mcdonnell
Integrate with Tana's Input API to automate data input and manage structured notes in Tana workspaces effortlessly.
Integrates with Tana's Input API, enabling creation and manipulation of structured data in Tana workspaces for enhanced note-taking and automated data input tasks.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Knowledge workers automating note organization
- / Project managers creating structured task hierarchies
- / Researchers building interconnected knowledge bases
- / Teams standardizing data entry workflows
capabilities
- / Create formatted text nodes with rich content
- / Build complex nested node hierarchies
- / Create tasks with checkboxes and due dates
- / Define custom supertags and fields
- / Upload file attachments to nodes
- / Add references between nodes
what it does
Creates and manipulates structured data in Tana workspaces through AI assistants, enabling automated note-taking and data organization with rich formatting, tasks, and custom schemas.
about
Tana is a community-built MCP server published by tim-mcdonnell that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Tana's Input API to automate data input and manage structured notes in Tana workspaces effortlessly. It is categorized under productivity.
how to install
You can install Tana in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Tana is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Tana MCP Server
A Model Context Protocol (MCP) server that connects to Tana's Input API, enabling AI assistants to create and manipulate data in your Tana workspace.
<a href="https://glama.ai/mcp/servers/r6v3135zsm"> <img width="380" height="200" src="https://glama.ai/mcp/servers/r6v3135zsm/badge" alt="Tana Server MCP server" /> </a>Table of Contents
- Features
- Prerequisites
- Getting Your Tana API Token
- Installation
- Configuration Options
- Usage
- API Limitations
- Development
- Troubleshooting
- License
Features
Tools (12 available)
| Tool | Description |
|---|---|
create_plain_node | Create simple text nodes with optional supertags |
create_formatted_node | Create nodes with rich formatting and inline references |
create_reference_node | Create references to existing nodes |
create_date_node | Create date nodes (supports various ISO 8601 formats) |
create_url_node | Create URL/link nodes |
create_checkbox_node | Create checkbox/task nodes |
create_file_node | Create file attachment nodes (base64 encoded) |
create_node_structure | Create complex nested node hierarchies |
create_supertag | Define new supertags in your schema |
create_field | Define new fields in your schema |
add_field_value | Add field values to existing nodes |
set_node_name | Rename existing nodes (plain nodes only) |
Prompts (4 templates)
- create-task - Structured task creation with due dates and priorities
- create-project - Project structures with goals and milestones
- create-meeting-notes - Meeting documentation with attendees and action items
- create-knowledge-entry - Knowledge base entries with categories and sources
Resources (4 available)
- api-docs - Complete Tana Input API reference
- node-types - Detailed examples of all supported node types
- examples - Common usage patterns and best practices
- server-info - Current server status and configuration
Prerequisites
- A Tana workspace with API access enabled
- Tana API token (see Getting Your Tana API Token)
- One of the following MCP clients:
- Raycast with AI features
- Claude Code CLI
- Claude Desktop
- Any other MCP-compatible client
Getting Your Tana API Token
- Open Tana in your browser
- Click on the Settings icon (gear) in the bottom left
- Navigate to API tokens
- Click Create new token
- Give it a descriptive name (e.g., "MCP Server")
- Copy the token immediately - it won't be shown again
Installation
Raycast
Raycast integrates MCP servers directly into its AI features. Once configured, use @tana-mcp in any Raycast AI interaction.
Step 1: Install the MCP Extension
- Open Raycast
- Search for "Store" and open the Raycast Store
- Search for "Model Context Protocol"
- Install the MCP extension
Step 2: Add the Tana MCP Server
- Open Raycast and search for "Install Server" (from the MCP extension)
- Fill in the form:
| Field | Value |
|---|---|
| Name | Tana |
| Type | stdio |
| Command | npx |
| Arguments | -y tana-mcp |
- Add environment variables:
TANA_API_TOKEN: Your Tana API tokenTANA_DEFAULT_TARGET:INBOX(optional - see Configuration Options)
Alternative: Copy this JSON before opening "Install Server" - Raycast will auto-populate the form:
{
"name": "Tana",
"type": "stdio",
"command": "npx",
"args": ["-y", "tana-mcp"],
"env": {
"TANA_API_TOKEN": "your-api-token-here",
"TANA_DEFAULT_TARGET": "INBOX"
}
}
Step 3: Use in Raycast AI
Once installed, mention the server in any Raycast AI interaction:
- Quick AI: Type your query and mention
@Tana - AI Chat: Start a chat and use
@Tanato invoke tools - AI Commands: Create custom commands that use Tana tools
Example: "@Tana Create a task called 'Review quarterly report' with high priority"
For more details, see the Raycast MCP documentation.
Claude Code (CLI)
Add Tana MCP as a user-scoped server available in all your Claude Code sessions.
claude mcp add -s user \
-e TANA_API_TOKEN=your-api-token-here \
-e TANA_DEFAULT_TARGET=INBOX \
tana-mcp \
npx -y tana-mcp
Or for project-scoped (current directory only):
claude mcp add \
-e TANA_API_TOKEN=your-api-token-here \
tana-mcp \
npx -y tana-mcp
Verify it's installed:
claude mcp list
Claude Desktop
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"tana-mcp": {
"command": "npx",
"args": ["-y", "tana-mcp"],
"env": {
"TANA_API_TOKEN": "your-api-token-here",
"TANA_DEFAULT_TARGET": "INBOX"
}
}
}
}
Restart Claude Desktop after saving.
Other MCP Clients
For any MCP-compatible client, configure with:
| Setting | Value |
|---|---|
| Command | npx |
| Arguments | -y tana-mcp |
| Environment | TANA_API_TOKEN=your-token |
Or if installed globally (npm install -g tana-mcp):
| Setting | Value |
|---|---|
| Command | tana-mcp |
| Environment | TANA_API_TOKEN=your-token |
Configuration Options
| Variable | Required | Default | Description |
|---|---|---|---|
TANA_API_TOKEN | Yes | - | Your Tana API token |
TANA_DEFAULT_TARGET | No | Library root | Where to place nodes when no target specified. Use INBOX for inbox, or any node ID |
TANA_API_ENDPOINT | No | Tana's default | Custom API endpoint (advanced use only) |
Target Options
- Omit
TANA_DEFAULT_TARGET: Nodes appear in Library root INBOX: Nodes go to your Tana Inbox for later processing- Any node ID: Nodes created under that specific node
Usage
Available Tools
Basic Node Creation
Create a node called "Meeting Notes - January 9th"
Tasks with Checkboxes
Create a task "Review PR #123" that's not yet completed
Rich Formatted Content
Create a formatted node with **bold text** and a reference to node ID abc123
Nested Structures
Create a project structure with:
- Project: Website Redesign
- Phase 1: Research
- Phase 2: Design
- Phase 3: Development
Schema Operations
Create a new supertag called "Book" for tracking my reading list
Example Prompts
Here are natural language prompts that work well:
| What you want | Example prompt |
|---|---|
| Quick capture | "Add 'Call dentist' to my Tana inbox" |
| Task with details | "Create a high-priority task 'Finish report' due Friday" |
| Meeting notes | "Create meeting notes for my 1:1 with Sarah, we discussed Q1 goals" |
| Project setup | "Set up a new project called 'App Launch' with planning, development, and release phases" |
| Knowledge entry | "Add a note about TypeScript generics with examples" |
| Link a URL | "Save this article: https://example.com/interesting-post" |
Text Formatting
The create_formatted_node tool supports rich text formatting in node names:
| Format | Syntax | Result |
|---|---|---|
| Bold | **text** | text |
| Italic | __text__ | text |
| Strikethrough | ~~text~~ | |
| Highlight | ^^text^^ | highlighted |
You can also include:
- Inline node references: Link to other nodes by ID
- Inline dates: Clickable date links
Example:
Create a formatted node: "Discussed **important** changes with [PERSON] on [DATE]"
with PERSON referencing node xyz123 and DATE as 2024-01-15
API Limitations
These are Tana Input API limitations, not server limitations:
| Limit | Value |
|---|---|
| Nodes per request | 100 maximum |
| Rate limit | 1 request/second per token |
| Payload size | 5,000 characters |
| Workspace nodes | 750,000 maximum |
Not supported by Tana's API:
- Reading/querying existing nodes (write-only API)
- Targeting "Today" or relative date nodes
- Updating checkbox/boolean nodes
- Non-HTTP/HTTPS links
Development
Building from Source
git clone https://github.com/tim-mcdonnell/tana-mcp.git
cd tana-mcp
bun install # or: npm install
bun run build # or: npm run build
Running Locally
TANA_API_TOKEN=your-token bun run dev
Testing with Claude Code
Point Claude Code to your local build:
claude mcp add -s user \
-e TANA_API_TOKEN=your-token \
tana-mcp-dev \
bun /path/to/tana-mcp/dist/index.js
Troubleshooting
"Missing expected parameter key: items"
This error occurred in versions before 2.0.0. Update to the latest version:
npm install -g tana-mcp@latest
Server not connecting
- Verify your token: Make sure
TANA_API_TOKENis set correctly - Check the command: Ensure
npxis available in your PATH - Restart the client: Some clients require restart after config changes
- Check logs: Look for error messages in your MCP client's logs
Nodes appearing in wrong location
- Set `TANA_DEFAULT_TARG
FAQ
- What is the Tana MCP server?
- Tana is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Tana?
- This profile displays 31 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★31 reviews- ★★★★★Hassan Bhatia· Dec 20, 2024
I recommend Tana for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 8, 2024
Tana is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Amelia Liu· Dec 8, 2024
Tana is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Oshnikdeep· Nov 27, 2024
Tana is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kwame Mehta· Nov 27, 2024
Tana is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arjun Reddy· Nov 11, 2024
According to our notes, Tana benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ganesh Mohane· Oct 18, 2024
We evaluated Tana against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Amelia Farah· Oct 18, 2024
We evaluated Tana against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sofia Smith· Oct 2, 2024
Tana has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arjun Martinez· Sep 21, 2024
Tana is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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