Airtable MCP Server
A Model Context Protocol server that provides tools for programmatically managing Airtable bases, ta...
Log in to Airtable
- Open airtable.com and sign in with the account that will own the API token.
Open the Personal Access Token (Builder Hub) page
- Go to the Builder Hub / Personal access tokens area (Airtable's "Create tokens" page).
Create a new personal access token
- Click to create a new token.
- Give the token a descriptive name (e.g., "FastMCP — Airtable MCP").
- For scopes, select:
- data.records:read
- data.records:write
- schema.bases:read
- schema.bases:write
Limit access to the correct workspace/bases
- When prompted, select the workspace or specific bases you want the token to access.
- Confirm any other token settings and create the token.
Copy and securely store the token
- After creation, copy the token value immediately — it will be shown only once.
- Keep it secure (do not commit it to source control).
Open the FastMCP connection interface and click “Install Now”
- In the FastMCP connection UI use the provided “Install Now” button for adding environment variables.
Add the AIRTABLE_API_KEY environment variable
- In the FastMCP connection form/field for environment variables, create an entry:
- Key: AIRTABLE_API_KEY
- Value: (paste the personal access token you copied)
- Save the connection / environment changes.
- In the FastMCP connection form/field for environment variables, create an entry:
Verify the configuration
- Start or restart the MCP (or Claude Desktop) so it picks up the new ENV.
- Test the Airtable MCP server (for example, run the command: “List all bases”) to confirm the token and permissions are working.
Security best-practice
- Treat the token like a password — rotate it if it’s ever exposed and restrict the workspace/bases and scopes to the minimum required.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Run MCP servers without
local setup or downtime
Access to 1,000+ ready-to-use MCP servers
Skip installation, maintenance, and trial-and-error.
No local setup or infra
Run MCP servers without Docker, ports, or tunnels.
Always online
Your MCP keeps working even when your laptop is off.
One secure URL
Use the same MCP from any agent, anywhere.
Secure by default
Encrypted connections. Secrets never stored locally.
Configuration for
Environment Variables
Please provide values for the following environment variables:
HTTP Headers
Please provide values for the following HTTP headers:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Database
View All →Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
Svelte
Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.
ClickHouse
Unlock powerful analytics with the ClickHouse MCP Server—seamlessly run, explore, and manage SQL queries across ClickHouse clusters or with chDB’s embedded OLAP engine. This server offers easy database and table listing, safe query execution, and flexible access to data from files, URLs, or databases. Built-in health checks ensure reliability, while support for both ClickHouse and chDB enables robust data workflows for any project.
More for Automation
View All →FreeCAD
Enables AI-driven CAD modeling by providing a remote procedure call (RPC) server that allows programmatic control of FreeCAD, supporting operations like creating documents, inserting parts, editing objects, and executing Python code for generative design workflows.
Blender
Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.
Meta Ads
Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.
Similar MCP Servers
Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
Google BigQuery
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like BigQuery. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.