Skyvia MCP
CommunityPopularOfficial Skyvia MCP server for cloud data integration. Connects AI agents to Skyvia's ETL, backup, and data replication services across 180+ SaaS applications and databases.
| Publisher | SkyviaHQ |
| Repository | skyvia-mcp-server |
| Language | TypeScript |
| Forks | 0 |
| Stars | 2.3K |
| Available tools | 16 |
| Transport type | stdio |
| Categories | |
| License | MIT |
| Links |
- Connect tools to AI workflows
Skyvia MCP exposes MCP capabilities that can be used by compatible AI clients and agents.
- 16 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
- Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
- Open source signals
2.3K stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"skyvia": {
"command": "npx",
"args": [
"-y",
"@skyvia/mcp-server"
],
"env": {
"SKYVIA_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Available Tools
- list_connections
Retrieve all configured data source connections in Skyvia
- create_connection
Create a new connection to a SaaS application or database
- test_connection
Verify connectivity and authentication for a data source connection
- list_integration_packages
Get all ETL integration packages and their current status
- run_integration_package
Execute an ETL integration package to sync data between sources
- create_data_sync
Set up automated data synchronization between two data sources
- query_data_source
Execute SQL queries against connected databases and applications
- list_backup_jobs
Retrieve all configured backup jobs and their schedules
- create_backup_job
Create a new backup job for a SaaS application or database
- restore_backup
Restore data from a previously created backup
- list_replication_tasks
Get all data replication tasks and their current status
- create_replication_task
Set up real-time data replication between data sources
- get_sync_history
Retrieve execution history and logs for data synchronization jobs
- validate_data_mapping
Verify field mappings between source and destination data structures
- schedule_integration
Configure scheduling for automated data integration tasks
- monitor_data_flow
Check real-time status and health of active data flows
Use Skyvia MCP MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Skyvia MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.
Setup guide to use the local connector
Use this when the MCP server needs access to local files, apps, or private resources on your computer.
Open the MCP settings
In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.
- Open TypingMind in your browser.
- Click the Settings icon.
- Go to Advanced Settings.
- Open the Model Context Protocol section.
- Click Setup Connector and choose This Device.
Run the connector command
Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.
- Copy the setup command shown by TypingMind.
- Open Terminal on macOS or Windows Terminal on Windows.
- Paste and run the command.
- Approve the package install if Terminal asks you to proceed.
- Keep the Terminal window running while using MCP tools.
Add Skyvia MCP as a server
When the connector status is Ready, click Edit Servers and paste the MCP server configuration.
- Wait until the connector status shows Ready.
- Click Edit Servers.
- Paste the Skyvia MCP MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.
{
"mcpServers": {
"skyvia-mcp": {
"command": "npx",
"args": [
"-y",
"@skyvia/mcp-server"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Skyvia MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.
- Open the Plugins page in TypingMind.
- Enable the Skyvia MCP MCP tools.
- Start a chat and choose the AI model you want to use.
- Use the MCP tools in chat or assign them to an AI agent.
- Switch to another AI model whenever needed without reconnecting MCP.
Here is what I found using Skyvia MCP.
Frequently asked questions
What is the Skyvia MCP MCP server used for?
Skyvia MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.
Can I use Skyvia MCP MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Skyvia MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.
Why use Skyvia MCP MCP with TypingMind?
TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Skyvia MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Skyvia MCP MCP to TypingMind?
Skyvia MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.
What tools does Skyvia MCP MCP provide in TypingMind?
Skyvia MCP exposes 16 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.
Do I need to share my API keys with TypingMind to use Skyvia MCP MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Skyvia MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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