Coda Connector for AI agents.
11 live capabilities
Manage your collaborative docs and project trackers with natural language.
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Why people use Coda
Coda for Automated Workspace Management
This Connector changes that by letting your AI agent do the clicking for you. You can just tell your agent to update the status of a specific task or add a new row to your tracker. It handles the interaction with the Coda API so you can stay in your flow and let the agent handle the data entry.
What Vinkius changes
You get a way to talk to your Coda data without ever opening a browser tab.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Updating a project status
A manager asks the agent to mark a task as Done in the Coda tracker.
- Real-world use case 02
Adding a new lead
An ops person tells the agent to add a new client to the Coda CRM table.
- Real-world use case 03
Checking budget totals
A lead asks for the Total_Spent formula result.
Complete set · 11capabilities
The complete Coda capability set.
These are the exact actions your AI can choose when you ask it to work with Coda.
01—04
4 capabilities in this set.
Part of 11 available through Coda.
- 01 Capability
Delete rows
Removes specific rows from a table to clean up your data. Use this to keep your trackers tidy.
- 02 Capability
Get doc details
Pulls metadata for a specific doc so your agent knows who owns it. This helps with workspace auditing.
- 03 Capability
Get table details
Retrieves the structure of a table to help the agent understand your columns. It maps out your data schema.
- 04 Capability
Insert rows
Adds new data entries into any table automatically. It's the fastest way to log new tasks or leads.
05—08
4 capabilities in this set.
Part of 11 available through Coda.
- 05 Capability
List columns
Shows all column headers in a table for easier data navigation. It helps the agent know what fields are available.
- 06 Capability
List docs
Lists every document in your Coda account for quick access. Use this to find the right doc in a large workspace.
- 07 Capability
List formulas
Shows all named formulas in a doc so your agent can find them. It helps the agent grab the right calculation.
- 08 Capability
List rows
Fetches row data from a table, including filtered results. This lets you see specific subsets of your data.
09—11
3 capabilities in this set.
Part of 11 available through Coda.
- 09 Capability
List tables
Shows all tables within a specific document. Use this to see the full layout of a doc's data.
- 10 Capability
Update row
Modifies specific fields in a row to change statuses or dates. It's perfect for quick status updates.
- 11 Capability
Get user profile
Pulls your Coda profile info for operational reporting. Use it to verify account details quickly.
Set up in minutes
One URL. Then ask Coda to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Coda from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Coda, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Coda for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Coda URL.
- Step 03
Save and start
Save the connection and enable Coda in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"coda-alternative": {
"url": "https://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Coda
Open Agent mode in chat and ask: "Using Coda, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"coda-alternative": {
"url": "https://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Coda
Ask Copilot: "Using Coda, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"coda-alternative": {
"url": "https://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Coda
Open Cascade and ask: "Using Coda, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"coda-alternative": {
"url": "https://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Coda
Ask Cline: "Using Coda, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add coda-alternative --transport http "https://edge.vinkius.com/vk_preview_demJrtZoc6TGdHQDbRL3qRSEJ7inDfICslQE5SOX/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Coda
Ask Claude: "Using Coda, show me...". 11 tools are ready
Where the request belongs
Work Coda can move forward.
The project manager who's tired of manual data entry and the ops lead who needs to pull reports from three different docs at once.
Project Manager
Updates task priorities and status updates in Coda using voice or text during standups.
Operations Lead
Automates lead tracking and manages high-volume relational data without manual copy-pasting.
Product Manager
Pulls formula-driven metrics to check project health and budget status instantly.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Organize data in smart spreadsheets with relational views, team collaboration, and workflow automation that goes beyond basic tables.
Zoho Sheet
Connect your AI agents to Zoho Sheet for spreadsheet management: workbooks, worksheets, cell data, rows, and sharing.
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Collaborative office suite and document management platform. manage Word, Excel, and PPT via AI.
Bring your own AI
Change the model, client or framework. Keep Coda connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Coda.
The practical details behind the request, access and result.
Can the Coda MCP update my tables automatically?
Yes, it can insert and update rows using natural language. You can tell your agent to change statuses, dates, or any other field in your tables.
Does the Coda MCP work with my existing docs?
Yes, it connects directly to your current Coda workspace. It can see your documents, tables, and formulas as they exist today.
Can I use the Coda MCP to find specific project info?
Yes, it can list docs and rows with specific filters. This makes it easy to find exactly what you need without scrolling.
How do I get my data into Coda using the Connector?
You can simply tell your agent to add a new row to a specific table. It will handle the data entry for you automatically.
Can the Coda MCP read my formulas?
Yes, it can pull live values from your named formulas. This is great for getting real-time totals or metrics in your chat.
Is the Coda MCP safe for my workspace?
It uses your Coda API token to perform actions on your behalf. Only the actions you authorize through your agent will take place.
How do I find my Coda API Token?
Log in to Coda, navigate to Account Settings > API Settings, and generate a new token for your integration.
Where do I find my Doc ID?
The Doc ID is the string of characters in your Coda document's URL after the '/d/'.
Can I filter rows using natural language?
Yes! The list_rows capability supports a query parameter where the agent can apply filters like Status:"Done" to find specific data.
One connection away
Give your agent a direct line to Coda.
Connect Coda once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available