Install
$ agentstack add mcp-ltphat2204-teable-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Teable MCP Server
A Model Context Protocol (MCP) server that connects Teable — the super-fast, open-source, no-code database — to LLMs like Claude, ChatGPT, and others.
This server enables AI agents to seamlessly query records, explore schema structures (spaces, bases, tables, views), and retrieve data from your Teable instance using natural language. It acts as a bridge, empowering your AI to interact with your data dynamically and intelligently.
🌟 What is Teable?
Teable is a next-generation, open-source, no-code database built on Postgres. It combines the ease of use of a spreadsheet with the power of a relational database.
- Hyper-fast: Handles millions of rows with ease.
- Open Source: You own your data. Self-hostable.
- SQL-like: Powerful querying capabilities.
- Real-time: Collaboration features built-in.
- API-first: Designed for developers and automation.
✨ Features
This MCP server exposes 27 tools to LLMs, organized into the following categories:
🔍 Read / Query
query_teable: Query records from a table with support for filtering, sorting, limiting, and view-scoped results.get_record: Retrieve a single record by its ID.create_record: Create a new record in a table with specified field values.update_record: Update an existing record by ID with specified field values.delete_record: Permanently delete a record (all data will be lost). This operation is irreversible.get_record_history: Access the full change history of a record.list_spaces: List all spaces accessible to the user.list_bases: List all bases within a specific space.list_tables: List all tables within a specific base.list_views: List all views within a table.get_table_fields: Fetch the full schema (field definitions) of a table.
💬 Record Comments
get_record_comments: Retrieve all comments on a specific record.comment_on_record: Post a new comment on a record.
🏗 Field Management
create_field: Add a new field to a table (supports all field types: singleLineText, number, checkbox, date, singleSelect, multipleSelect, longText, formula, rating, currency, percent, email, url, phoneNumber, attachment).update_field: Rename a field or update its description/options.delete_field: Permanently remove a field and all its data from a table.
📊 Dependency & Impact Analysis
get_field_dependency_graph: Retrieve the complete local and cross-table dependency graph of fields in a table, resolving formula references and rollups with dynamic Mermaid flowchart visualization.analyze_field_impact: Recursively analyze the upstream and downstream safety impact of modifying or deleting a specific field, performing base-wide scans to trace local and foreign dependents with an actionable safety recommendation checklist.
📋 Table Management
create_table: Create a new table in a base, optionally with initial fields.update_table: Rename a table or update its description.delete_table: Move a table to the trash (recoverable).export_table_data: Export all table data as CSV.
🗑 Table Trash
get_table_trash: List all tables currently in the trash for a base.restore_table_from_trash: Restore a trashed table back to the active base.permanently_delete_table: Irreversibly delete a table. Cannot be undone.
👁 View Management
create_view: Create a new view (grid, gallery, kanban, calendar, gantt, or form).update_view: Rename a view or update its filter/sort configuration.delete_view: Remove a view from a table.share_view: Enable or disable a public share link for a view.
🛠 Configuration
To use this server, you need a Teable API Key.
- Get your API Key:
- Log in to your Teable account and navigate to Personal Access Token settings.
- Click Create New Token.
- Enable the following permission scopes:
- Read:
space,base,table,record,view,field - Write/Mutate:
record(comments),field,table,view - Select the appropriate bases you want the MCP server to access.
- Save the token - you'll need this for configuration.
- Environment Variables:
You can configure the server using specific environment variables.
| Variable | Description | Required | Default | | :--- | :--- | :--- | :--- | | TEABLE_API_KEY | Your Personal Access Token | Yes | - | | TEABLE_BASE_URL | API Endpoint (Change if self-hosting) | Yes | https://app.teable.ai/api |
🚀 Usage
> Note: For Option 1 and Option 2, since we are using the local source code, you must build the project first. > ``bash > npm install && npm run build > ``
Option 1: Using with Claude Desktop (Recommended)
Add the following configuration to your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"teable": {
"command": "node",
"args": [
"/absolute/path/to/teable-mcp-server/dist/index.js"
],
"env": {
"TEABLE_API_KEY": "mcp_sk_xxxxxxxxxxxxxx",
"TEABLE_BASE_URL": "https://app.teable.ai/api"
}
}
}
}
Note: Replace mcp_sk_xxxxxxxxxxxxxx with your actual API key.
Option 2: Using with Cursor
- Open Cursor Settings.
- Navigate to Features -> MCP.
- Click + Add New MCP Server.
- Enter a name (e.g., "Teable").
- Select Type:
command. - Command:
``bash node /absolute/path/to/teable-mcp-server/dist/index.js ``
- Add your Environment Variables in the env section:
TEABLE_API_KEY:your_api_keyTEABLE_BASE_URL:https://app.teable.ai/api
💻 Local Development
- Clone the repository:
``bash git clone https://github.com/ltphat2204/teable-mcp-server.git cd teable-mcp-server ``
- Install dependencies:
``bash npm install ``
- Build the project:
``bash npm run build ``
- Debug using MCP Inspector:
``bash export TEABLE_API_KEY=your_api_key export TEABLE_BASE_URL=https://app.teable.ai/api npm run inspector ``
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
📄 License
This project is licensed under the MIT License.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ltphat2204
- Source: ltphat2204/teable-mcp-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.