Xata
Think data, not databases. The serverless, branchable, scalable, consistent, highly available, and searchable database service focused on the developer experience.
Verdict
Common use cases
- Check deployment regions before provisioning branches
- Audit API keys across the organization
- Compare instance types and pricing tiers
- Verify PostgreSQL extension support for a version
- Review resource limits before scaling up
Integration
- Vendor
- Xata
- Category
- other
- Auth
- API_KEY
- Tools
- 8
- Composio slug
xata
Tools
- Get Organization Details
Tool to retrieve detailed information about a specific organization by its ID. Use when you need to check organization status, name, billing information, or admin settings.
- Get project resource limits
Tool to retrieve the default resource limits for projects in a specified organization. Use when you need to check maximum instances, storage, allowed regions, or branch limits for a Xata organization.
- List Available Images
Tool to retrieve a list of all available postgres images for a specified organization and region. Use when you need to check which database images are available for deployment.
- List Available Regions
Tool to retrieve a list of all regions where new branches can be deployed for the specified organization. Use when you need to check which regions are available for deploying new branches.
- List Extensions
Tool to get available PostgreSQL extensions for a specific image. Use when you need to check which extensions can be enabled for a particular PostgreSQL version in an organization.
- List Instance Types
Tool to retrieve a list of all instance types for the specified organization and region. Use when you need to check available instance types and their configurations including CPU, RAM, and pricing.
- List Organization API Keys
Tool to retrieve a list of API keys for a specific Xata organization. Use when you need to view all API keys associated with an organization.
- Update Organization
Tool to update information for an existing organization, such as its name. Use when you need to modify organization details.
Setup
Setup guide
- 11. In Switchy, open Settings → Integrations → MCP Servers and click Add Server. 2. Select Xata from the list. 3. You'll need a Xata API key with read access to your organization — generate one at app.xata.io under your organization settings, then copy the key. 4. Paste the API key into the Switchy prompt and click Connect. 5. Switchy confirms the connection and shows which tools are now available. 6. Open any Space, type '@Xata list available regions for my organization' and send — if you see a list of deployment regions, the integration works. 7. From now on, @mention Xata in any message to invoke its tools; the AI routes your request to the right endpoint automatically.
What teammates see: by default, memories from Xata are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
List Deployment Regions
@Xata list all available regions for deploying new branches in my organization.Open in a Space →
Check Resource Limits
@Xata get the default resource limits for projects in my organization, including max instances and storage.Open in a Space →
Compare Instance Types
@Xata list all instance types available in us-east-1, including their CPU, memory, and cost details.Open in a Space →
Review PostgreSQL Images
@Xata show me all available PostgreSQL images for us-west-2 in my organization.Open in a Space →
Audit API Keys
@Xata retrieve all API keys for my organization, including their names and creation dates.Open in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Xata what instance types are available in us-east-1 for our organization, and what are their pricing tiers?
Based on the organization's configuration, us-east-1 offers four instance types: starter (1 vCPU, 2GB RAM, $0.015/hour), professional (2 vCPU, 4GB RAM, $0.045/hour), business (4 vCPU, 8GB RAM, $0.12/hour), and enterprise (8 vCPU, 16GB RAM, $0.28/hour). Each tier includes baseline storage with additional capacity available. The starter tier is suitable for development workloads, while production deployments typically begin at the professional tier for consistent performance under load.
This example demonstrates read-only infrastructure discovery. Pricing and availability vary by organization tier and region. The MCP requires an API key with read access to organization resources. Use this to inform capacity planning before deploying new branches or scaling existing instances.
@Xata rename our organization from 'acme-dev' to 'acme-production' to reflect our new deployment status
Organization name updated successfully. The organization ID remains unchanged, but the display name is now 'acme-production'. This change is reflected immediately across the Xata dashboard and API responses. Note that existing API keys, database connections, and branch endpoints continue to function without modification—only the organization's display name has changed. Team members will see the new name on their next dashboard refresh.
This write operation modifies organization metadata. The MCP requires an API key with admin-level permissions to update organization settings. Renaming does not affect technical identifiers or connection strings, but team members should be notified of the change to avoid confusion when referencing the organization in documentation or support requests.
@Xata check our current resource limits and compare them against what we're using—are we close to any caps that might block our next deployment?
Your organization allows up to 50 database instances, 500GB total storage, and 10 branches per database. Currently, you're running 38 instances (76% capacity), using 312GB storage (62% capacity), and averaging 6 branches per database. The us-west-2 region shows the highest utilization. You have headroom for the next deployment, but if you're planning to add more than 12 new instances or exceed 188GB additional storage, consider requesting a limit increase through Xata support to avoid provisioning failures.
This synthesis example pairs infrastructure data with capacity analysis. The MCP retrieves resource limits but doesn't track current usage—the AI infers utilization from context or combines this with other data sources. Actual usage metrics require separate monitoring. Use this workflow before scaling operations to prevent hitting hard limits during critical deployments.
Use-case deep-dives
When Xata MCP helps ops teams scope infrastructure before launch
A 3-person DevOps team at a B2B SaaS company needs to spin up Postgres instances in three regions for a new customer tier. The Xata MCP is the right call here: they can query available regions, check instance types and pricing, and confirm which extensions are supported—all from a shared Switchy workspace without switching tabs or logging into the Xata console. The 'List Available Regions' and 'List Instance Types' tools give them the exact config data they need to draft a cost estimate for the CFO. This works best when you're planning deployments, not executing them—the MCP doesn't provision resources, it just surfaces the options. If your team is already in the Xata console daily, the MCP adds less value. But for infrequent infrastructure decisions where you want the whole team to see the same data, it's a clean win.
When Xata MCP speeds up quarterly security reviews
A security engineer at a 12-person startup needs to audit all Xata API keys across two organizations before a SOC 2 audit. The Xata MCP's 'List Organization API Keys' tool pulls the full key inventory into Switchy, where the engineer can cross-reference it with the team's access spreadsheet and flag orphaned keys. This is faster than logging into each org separately and screenshotting the key list. The MCP shines when you need read-only visibility into org-level config—no risk of accidental changes, and the whole security team can review the output in one thread. If you're rotating keys or creating new ones, you'll still need the Xata console; the MCP doesn't write. But for quarterly audits or onboarding reviews where you just need to see what's live, it cuts the busywork in half.
When Xata MCP helps support teams answer 'what's available' questions
A support rep at a database-as-a-service company gets a ticket: 'Can I use the pgvector extension in us-west-2?' Instead of pinging engineering or digging through docs, they use the Xata MCP in Switchy to run 'List Extensions' for the customer's Postgres image and 'List Available Regions' to confirm us-west-2 is live. The answer is in the thread in 30 seconds, and the rep can paste the exact extension list into the ticket. This works when your support team fields config or capability questions multiple times a week—the MCP turns tribal knowledge into queryable data. If your support volume is low or your team already has a well-maintained internal wiki, the setup cost might outweigh the time saved. But for teams answering 'what can I deploy where' questions daily, the Xata MCP is a straightforward add.
Frequently asked
What does the Xata MCP let me do in Switchy?
The Xata MCP connects your team to Xata's serverless Postgres platform. It lets you check organization details, view resource limits, list available database images and regions, manage API keys, and configure instance types. You can inspect what's available before spinning up branches or instances, but the MCP doesn't create databases or run queries — it's for infrastructure visibility and admin tasks.
Do I need admin access to connect Xata?
You need a Xata API key with permissions to read organization data and list resources. If your team wants to update organization settings or manage API keys through Switchy, the key needs write access too. Xata uses API key auth, so whoever generates the key controls what the MCP can see and change. Check your Xata dashboard to confirm the key's scope before connecting.
Can the Xata MCP run SQL queries or create databases?
No. This MCP is for infrastructure management — checking regions, instance types, extensions, and resource limits. It doesn't execute SQL, create branches, or write data. If you need to query your Xata database, use the Postgres MCP or Xata's SDK directly. Think of this integration as a read-mostly control plane, not a data plane.
How is this different from using the Xata dashboard?
The Xata MCP surfaces the same infrastructure data you'd see in the dashboard, but inside Switchy's AI workspace. Your team can ask questions like 'which regions support Postgres 15' or 'what's our branch limit' without context-switching. It's faster for quick checks, but the dashboard still has the full UI for provisioning and monitoring. Use the MCP for discovery; use the dashboard for deployment.
Who on my team should connect the Xata integration?
Whoever manages your Xata organization or needs to audit resource availability. If your team frequently checks instance types, regions, or API key usage, connect it. If you only deploy databases once a month, the dashboard is probably enough. The MCP doesn't count against Xata's limits, but the API key you use inherits that user's permissions, so choose someone with appropriate access.