Nile MCP. Manage multi-tenant Postgres infrastructure via chat.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Nile MCP Server connects your AI agent directly to a multi-tenant PostgreSQL backbone. It lets you provision isolated B2B tenants, check live operational metrics (like active connections and storage usage), and audit user access—all without writing complex SQL or running CLI scripts.
What your AI agents can do
Create tenant
Sets up a new, isolated virtual tenant boundary inside a database instance for a new client.
Get database
Retrieves the full configuration and current operational status details for a specific Nile Database endpoint.
Get metrics
Pulls precise, real-time numbers on active connections, compute usage, and storage limits across your database instances.
Creates new virtual tenants (shards) inside an existing database, keeping their data logically separated.
Pulls the detailed setup details for a specific Nile Database endpoint, including its current storage size and operational status.
Provides current numbers on active connections, compute utilization, and storage exhaustion levels across your database instances.
Identifies every root connectivity endpoint (name binding) required to query the physical data in your environment.
Shows all current B2B tenants that live inside a specific Nile database instance.
Retrieves a list of all system users, allowing you to map them back to their virtual tenant boundaries for auditing.
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Nile (PostgreSQL for Multi-Tenant Apps): 6 Tools
These six tools let your AI agent manage everything from provisioning new isolated tenants to checking real-time database metrics and auditing user access.
019d75ddcreate tenant
Sets up a new, isolated virtual tenant boundary inside a database instance for a new client.
019d75ddget database
Retrieves the full configuration and current operational status details for a specific Nile Database endpoint.
019d75ddget metrics
Pulls precise, real-time numbers on active connections, compute usage, and storage limits across your database instances.
019d75ddlist databases
Lists all primary PostgreSQL database endpoints you need to connect to for querying data.
019d75ddlist tenants
Shows every currently active virtual tenant that resides within a specific Nile database instance.
019d75ddlist users
Lists all system users who can access the platform and maps their identities to internal tenants for auditing.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Nile (PostgreSQL for Multi-Tenant Apps), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
The Nile MCP Server - Multi-Tenant Postgres Management gives your AI client direct access to a multi-tenant PostgreSQL backbone, letting you handle B2B tenant isolation, database provisioning, and deep performance monitoring without ever having to write complex SQL or run messy CLI scripts. It's about doing the heavy lifting stuff using natural conversation.
When you need to know where all your data lives, start with list_databases. You’ll get a list of every primary PostgreSQL endpoint—the name bindings—you gotta connect to in your environment before querying any real data. Once you've got those endpoints, if you want the full setup details for one specific location, use get_database.
This pulls the complete configuration and current operational status for that Nile Database endpoint, including things like its storage size.
For managing client boundaries, you can set up a new, isolated virtual tenant using create_tenant; this immediately establishes a dedicated boundary inside an existing database instance for a brand-new client. If you need to see who’s already living in that space, run list_tenants, and it shows every active B2B tenant currently residing within the specific Nile database instance.
Similarly, if you want to know which system users can access the platform—for strict auditing purposes—you use list_users. This tool lists all global system users and maps their identities back to the virtual tenants they belong to.
Monitoring performance is where this thing shines. To get a real-time picture of how much juice your database fleet is using, you execute get_metrics. You'll pull precise numbers on active connections, compute utilization levels, and storage exhaustion across all your database instances. These metrics give you the hard facts on resource usage.
If you need to see every single place that data might be sitting, running list_databases gives you those root connectivity endpoints. If you gotta check what’s going on with a specific instance, get_database hands you both the config and the current status report for it. You use get_metrics when you need to know exactly how many active connections or how much compute power is being used right now across your whole setup.
For management tasks, if you're bringing on new clients, you run create_tenant to isolate them immediately. If you gotta confirm who’s using the system and which tenant they belong to for an audit trail, use list_users. And finally, when you want a full inventory of tenants inside one specific database instance, list_tenants shows you every active virtual boundary that's in place.
How Nile MCP Works
- 1 First, subscribe the AI agent and provide your Nile API URL and key.
- 2 Next, prompt your agent with a task—like 'List all databases' or 'Check metrics for production-v1'.
- 3 The agent calls the appropriate tool (e.g.,
get_metrics), gets structured data back, and presents it to you in plain language.
The bottom line is: You manage complex database operations by simply talking to your AI client, letting it handle the API calls.
Who Is Nile MCP For?
This is for backend architects and DevOps engineers who hate running repetitive scripts against dozens of databases. If you spend more time managing connectivity endpoints than writing business logic, this server saves your life. It lets you build scalable SaaS without manual CLI overhead.
Uses create_tenant and list_users to programmatically verify that a new client gets the correct, isolated data boundaries.
Runs get_metrics constantly to watch for storage exhaustion or connection limits across multiple production clusters.
Uses list_databases and get_database to map out the entire connectivity graph of a new multi-tenant product line before deployment.
What Changes When You Connect
- Stop guessing about capacity. Use
get_metricsto get immediate numbers on active connections and storage usage, letting you preemptively scale before a service hits its limit. - Need a new client? Instead of writing complex sharding scripts, just call
create_tenant. It provisions the isolated virtual boundary instantly—cleanly, reliably, every time. - Audit access rights easily. Running
list_userslets you see who can hit which tenant slice, solving cross-tenant data leakage headaches before they happen. - Know your endpoints. Use
list_databasesto get a complete map of all available connection points, ensuring your agent never tries to query a non-existent cluster. - Deep Dive: Get the full picture with
get_database. This tool pulls structural representations and state vectors so you know exactly what kind of database you're dealing with.
Real-World Use Cases
Onboarding a new B2B customer
A SaaS developer needs to provision 50 isolated tenants for a pilot client. Instead of running for loops in the CLI, they ask their agent: 'Create 50 tenants in staging-cluster.' The agent uses create_tenant repeatedly and reports success on all boundaries.
Investigating performance slowdowns
A DBA suspects a cluster is running out of connection capacity. They prompt the agent: 'What are the metrics for production-v1?' The agent runs get_metrics and immediately reports 98/100 connections used, pointing to the exact bottleneck.
Compliance audit of user access
The security team needs to verify that users from Tenant Alpha cannot see data belonging to Tenant Beta. They run list_users and correlate the results with list_tenants to confirm strict isolation boundaries are maintained.
Mapping out a new product service
An architect needs to understand all available database connection points for a greenfield project. They ask: 'List all databases.' The agent runs list_databases, giving the full list of required endpoints without needing to check internal documentation.
The Tradeoffs
Manual CLI Scripting
The engineer writes a Python script that iterates through 50 database names, calling a separate API endpoint for each one just to get basic status and connection counts.
→
Don't write the loop. Ask your agent: 'Get metrics for all databases.' The agent uses list_databases first, then calls get_metrics on each result, giving you a consolidated report in seconds.
Ignoring Tenant Isolation
A developer assumes that because they are querying one database, the data is automatically segmented by client. They write code that fails when two tenants share the same ID.
→
First, use list_tenants to verify which virtual boundaries exist in your target DB. Then, use these IDs explicitly during provisioning or deep inspection.
Undefined Database Scope
The engineer tries to check the status of a database named 'staging-new' but doesn't know if it's an active endpoint or just a concept, leading to API failures.
→
Always start by asking the agent to list_databases. This confirms which name bindings are actual root connectivity endpoints you can operate on.
When It Fits, When It Doesn't
Use this server if your core job involves managing multi-tenant SaaS infrastructure where data isolation and operational visibility are non-negotiable. You need to programmatically create, audit, or check the health of dozens of distinct database environments using standardized commands.
Don't use it if you only need basic read access from one single, monolithic Postgres instance—a simpler connector will do fine. Also, if your primary task is running ad-hoc analytics queries that don't require knowing tenant boundaries or checking infrastructure health, stick to a standard database connection tool instead. This server excels at managing the container, not just querying the content.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nile. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually mapping out database connectivity is a nightmare of shell scripts and API calls.
Today, checking your multi-tenant infrastructure requires running dozens of commands. You have to manually list every potential endpoint (`list_databases`), then run separate status checks on each one using `get_database`, and if you need performance metrics, you repeat the process with a dedicated metric call. It’s tedious, error-prone, and slows down deployment cycles.
With this MCP server, it's three steps. You tell your agent what you need—say, 'Give me status for all databases.' The agent handles the entire sequence: listing endpoints, calling `get_database` on every one, and compiling a clean, readable report back to you.
Nile MCP Server lets you manage tenant data access with natural conversation.
Before this tool, verifying user isolation meant writing complex queries joining identity tables and manually cross-referencing every single client ID. You were always guessing if a user had the right permissions for a specific virtual boundary.
Now, you just ask: 'Who are all the users and which tenants do they belong to?' The agent runs `list_users` and maps them instantly using the internal logic, giving you immediate audit confidence that was impossible before.
Common Questions About Nile MCP
How does the Nile MCP Server handle database isolation? +
The server manages B2B tenant isolation by allowing you to run create_tenant, which provisions a highly isolated virtual boundary (a shard) inside your existing PostgreSQL setup.
Can I use get_metrics for general performance checks? +
Yes. The get_metrics tool pulls specific numbers—active connections, storage usage, and compute utilization—so you know exactly where the database strain is coming from.
What if I need to check a user's access permissions? +
You run list_users. This enumerates all globally tracked users and helps correlate their identities against specific virtual tenants for audit purposes.
Is list_databases the right tool to know my endpoints? +
Yes, this is the primary way. It identifies every root connectivity endpoint (name binding) you need to query physical data from across your fleet.
If I need to verify all active virtualized B2B tenants within a single database, should I use list_tenants? +
Yes, list_tenants shows every currently active tenant boundary inside that specific DB. It provides the exact IDs you need for data sharding and deep cross-tenant inspection.
What tool do I use to check a database's complete structural configuration details? +
Use get_database. This pulls the full configuration JSON for any specific Nile DB endpoint. You can instantly verify storage limits, state tracking, and overall architectural details.
How do I check if my database is nearing its connection or storage caps? +
You run get_metrics. This tool pulls precise operational numbers showing active connections and current storage usage relative to the configured capacity. It’s essential for load management.
`list_users` helps me understand a user's global access scope across tenants? +
It does. list_users enumerates every globally tracked user identity capable of accessing data. This list correlates users to internal virtual tenants, clarifying who can see what.
How does Nile handle tenant isolation through the agent? +
Nile uses virtualized multi-tenancy. When your agent uses the create_tenant tool, Nile's control plane automatically generates a distinct routing logic container within Postgres, ensuring that data for the new B2B client is logically separated from other tenants.
Can I monitor the health of my Nile databases through a conversation? +
Yes. Use the get_metrics tool with a specific database name. Your agent will retrieve real-time operational performance numbers, including active connections and compute utilization, helping you identify load spikes or storage exhaustion instantly.
Can my agent list all registered users and see which tenants they belong to? +
Absolutely. Use the list_users tool to enumerate all identities natively authenticated within Nile. Your agent will report the user mappings to internal virtual tenants, making it easy to audit cross-tenant access control across your entire database ecosystem.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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