Nango MCP. Audit every integration and data sync, via chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Nango provides a unified API layer for managing complex product integrations. Your agent connects to Nango to audit OAuth connections across hundreds of providers, track real-time data sync status, and access synchronized records from multiple external sources without touching a dashboard.
What your AI agents can do
Get connection
Gets specific metadata detailing a single Nango connection's authentication payload and token boundaries.
Get environment
Retrieves the runtime mapping logic bounds for the active Nango instance environment.
Get integration
Pulls explicit parameters detailing a single target integration's configuration logic.
Use get_connection to extract specific metadata for an individual Nango connection.
Use list_connections to get a list of every OAuth or credential-based account linked through Nango.
Use list_syncs to see the current or historical synchronization status for any given connection.
Use list_records to retrieve actual, unified data entries (like contacts) matched against a specific provider.
Use list_integrations to see all the different types of integration logic set up in Nango.
Use get_environment to pull the literal runtime mapping boundaries for the active Nango instance.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Nango (Unified API & Integration Platform): 7 Tools for Data Flow
These tools let your agent manage the full lifecycle of integrations: from listing available logic to checking live sync status and accessing unified records.
019d75daget connection
Gets specific metadata detailing a single Nango connection's authentication payload and token boundaries.
019d75daget environment
Retrieves the runtime mapping logic bounds for the active Nango instance environment.
019d75daget integration
Pulls explicit parameters detailing a single target integration's configuration logic.
019d75dalist connections
Lists all instantiated OAuth or credential connections that have been authenticated through Nango.
019d75dalist integrations
Lists all available integration logic configurations defined within the Nango platform.
019d75dalist records
Lists actual data records that have been successfully synchronized and match a connected provider mapping.
019d75dalist syncs
Provides a list of the current or historical synchronization status for an account connection.
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 Nango (Unified API & Integration Platform), 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
Look, you're running complex integrations across a bunch of providers, and manually checking everything? Forget about it. Nango gives your agent an API layer to handle the whole mess—auditing OAuth connections, tracking data sync status, and pulling records from multiple sources without you ever having to touch a dashboard. You connect this server, and suddenly your AI client can talk directly to your integration backend.
When you need to check specific connection details, you'll use get_connection to pull the metadata for an individual Nango link; that gives you the authentication payload and exactly where the tokens start and stop. If you gotta see every single connection linked up—whether it's OAuth or just a set of credentials—you hit list_connections to get a full roster of everything authenticated through Nango.
You can also check out all the available integration logic configurations in your platform by running list_integrations; that tells you what kinds of data connections Nango supports.
To monitor how well everything's working, you use list_syncs. This tool gives you a record—current or historical—of whether an account connection actually synced its data and if there were any issues. If you need to see the actual records that got synchronized, say contacts or deals, for a specific provider mapping across your whole connected pool, you run list_records and get those unified entries right away.
You can pull the runtime mapping logic boundaries for the active Nango instance environment using get_environment; this shows you exactly how Nango is set up to manage data flow. Finally, if you need more granular info about a specific target integration's configuration—like pulling out explicit parameters or setup details—you call get_integration.
Here's the deal with getting your agent connected: You subscribe to this server on Vinkius and drop in your Nango Secret Key. After that, your AI client can manage everything. Your agent pulls every data point you need using these tools, letting you bypass any clunky dashboards. For example, if you wanna know what kind of connections are available, list_connections shows it all.
If you gotta audit the setup, get_environment reveals the mapping logic boundaries. You can review the history and status of syncs with list_syncs, or pull concrete records using list_records. It's a clean way to keep tabs on hundreds of providers without writing a single line of code.
How Nango MCP Works
- 1 Subscribe to this server and enter your unique Nango Secret Key.
- 2 Connect your preferred AI client (Claude, Cursor, etc.) through the MCP protocol.
- 3 Ask your agent to perform an action—for example, 'Show me all expired Salesforce connections'—and receive the results directly in conversation.
The bottom line is that you manage complex data pipelines and vendor integrations by talking to them instead of clicking through multiple dashboards.
Who Is Nango MCP For?
Product Managers who spend hours manually checking dashboard statuses; Software Developers needing to verify schemas across disparate systems; Integration Leads who have to debug production sync failures at 2 AM. This is for people whose job requires knowing the real state of multiple connected third-party services.
Uses this tool to audit customer connection health and verify integration statuses through natural conversation, skipping manual dashboard navigation entirely.
Tests data sync logic and verifies unified record schemas across multiple providers directly from their workspace, ensuring code compatibility with Nango's output.
Monitors the performance of automated data pipelines and manages OAuth connections efficiently to maintain high reliability standards without logging into vendor portals.
What Changes When You Connect
- Use
list_connectionsto see all connected accounts instantly. You don't have to click through dozens of vendor dashboards just to check if a client's Salesforce connection is active or expired. - The
list_syncstool tracks sync history and status, so you can pinpoint exactly when and why data failed to transfer—whether it was a rate limit error or invalid credentials. No more guessing games. - When debugging schemas, the combination of
list_integrationsandget_environmentlets you inspect the full mapping logic and runtime constraints without needing developer access to the core Nango platform. - Need actual data? Instead of viewing abstract records,
list_recordspulls unified data (like contacts or deals) from all linked providers into one view. It’s instant, consolidated visibility. -
get_connectionprovides a deep credential audit. You can verify the exact metadata and token boundaries for any specific connection, which is critical for compliance checks.
Real-World Use Cases
Onboarding Audit: Checking Client Access
A Product Manager needs to confirm if three key enterprise clients (Salesforce, HubSpot, Jira) are all connected and healthy. Instead of logging into three separate vendor dashboards, they ask their agent: 'List active connections for our top 5 clients.' The agent uses list_connections and reports back the status of every single account in one reply.
Debugging a Data Gap
An Integration Lead notices that recent deal records are missing. They ask the agent to 'Show me sync logs for deals related to connection ID conn-abc.' The agent uses list_syncs, identifies a failed job, and then can use get_environment to check if the mapping logic itself changed.
Schema Verification
A Software Developer needs to build a new feature relying on contact data. They ask: 'What are the synchronized contacts for connection conn-456?' The agent uses list_records, pulling 50 records and verifying that the structure (schema) matches what their code expects, without manual SQL queries.
Pre-Deployment Check
Before launching a major feature update, an Integration Lead must confirm all integration logic is correct. They use list_integrations to review the setup parameters and then ask for 'the connection metadata' using get_integration to ensure every piece of the puzzle is accounted for.
The Tradeoffs
Assuming Data Exists
A user sees a contact record ID in one system and assumes that data point exists across all linked providers. They try to write code using the raw data without checking its source status.
→
Before accessing any records, always use list_syncs or get_connection. This proves the connection is active and provides a history of successful transfers, confirming data integrity before coding.
Over-relying on Dashboards
Manually clicking through 10 different vendor dashboards (Salesforce, Mailchimp, etc.) to compile an audit report showing which connections are expired.
→
Use list_connections. This single tool aggregates the status from all sources and gives you a unified list of connected accounts in one conversational output.
Ignoring Mapping Logic
Debugging why data looks wrong, assuming it's just user error. The root problem is actually that the underlying integration logic changed.
→
Call get_integration and check get_environment. This lets you inspect the actual mapping parameters and runtime constraints to see if the system itself changed how it handles the data.
When It Fits, When It Doesn't
Use Nango when your core problem is coordinating state, connections, or data across multiple, disparate third-party systems. If you need a single source of truth for external integration status (e.g., 'Is this account connected?'), this is the right tool.
Don't use it if:
1. You are only dealing with internal database tables—use direct SQL or ORM tools instead.
2. Your goal is to send a message, not audit a connection—a dedicated messaging tool works better.
3. The data source doesn't support OAuth/API authentication—you need file uploads or manual entry.
This server excels at the 'meta-layer' of integration management: proving that connections exist and confirming how the data moved, using tools like list_connections and list_syncs to build a reliable audit trail.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nango. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking connection status shouldn't require five different dashboards.
Right now, if you need to know if your client connected Salesforce (last week), HubSpot (today), and their internal ticketing system (ever?), you open three separate vendor logins. Then you click 'Settings,' find the OAuth tab, scroll through multiple pages of status lights, and manually write up a report on connection health.
With Nango's MCP Server, you just ask your agent: 'What is the current connection status for our top 10 clients?' The server uses `list_connections` to hit all those endpoints concurrently and gives you one single, summarized answer. It’s immediate state reporting.
Nango (Unified API & Integration Platform): Get the full data flow picture.
Before Nango, if a developer needed to verify that 'Contact Name X' synced from Salesforce into the internal CRM schema, they had to run multiple queries: one against the source system, and another against the target table. It was complex, slow, and prone to missing data drift.
Now, you ask your agent to fetch records for a specific model using `list_records`. The server handles the whole flow—it confirms the connection status first (via `get_connection`), then pulls the unified record set. You get the final answer without writing complex join queries.
Common Questions About Nango MCP
How do I check if a client's OAuth connection is expired using list_connections? +
The list_connections tool lists all instantiated connections. The output for each connection includes its current status (e.g., 'Verified,' 'Expired'). This allows you to quickly filter and identify which accounts need re-authentication.
Can I use get_connection to see the specific data fields that were synced? +
Yes, get_connection provides precise metadata mapping. It details the authentication payloads and token boundaries for a given connection ID, which confirms exactly what credentials are being used.
What is the difference between list_records and list_connections? +
They track different things entirely. list_connections tells you if the account (the user's system) is linked to Nango. list_records shows the actual, synchronized data (like 50 contact records) that were pulled from that linked account.
How do I check for data synchronization failures with list_syncs? +
The list_syncs tool gives you the history and current status of automated sync jobs. You can identify failed attempts, see the error type (like 'Rate Limit'), and determine if the failure is systemic or temporary.
Does get_environment tell me anything about my API key? +
get_environment retrieves the runtime mapping logic bounds for the Nango instance. While it gives you architectural context, use get_connection if you need details specific to a connection's authentication payload.
How does `get_integration` help me understand required sync parameters? +
It retrieves explicit, mandatory parameters for a single integration. This output shows exactly what data fields and connection settings Nango requires from that specific provider to run the sync successfully. It's essential for initial setup validation.
Can I use `list_records` to discover all available model types (like 'deals' or 'contacts')? +
Yes, you specify the record type you want to check. Nango organizes data into specific models; by using this tool, your agent can filter and confirm if a certain model—say, 'invoices'—has any synchronized records associated with it.
What does `get_environment` tell me about connection capacity or limits? +
It reports the operational boundaries for your active Nango instance. This provides visibility into current host constraints and system quotas, letting you know if performance issues stem from hitting a predefined limit.
Can I see which customers have an expired OAuth connection through my agent? +
Yes. Use the list_connections tool to retrieve all authenticated linked accounts. Your agent will report the current status of each connection, helping you identify which users need to re-authenticate their external platforms.
How do I check if a data synchronization failed recently? +
The list_syncs tool retrieves the synchronization history for a specific connection. Your agent will expose the log outputs and status indicators, allowing you to debug data processing issues directly from your conversation.
Can my agent retrieve synchronized data records from external APIs? +
Absolutely. Use the list_records tool with a Connection ID and a model name (e.g., 'contacts'). Your agent will query Nango's storage to fetch the raw synchronized objects, bypassing external API limits natively.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
FlowiseAI
Build LLM orchestration flows visually with a drag-and-drop interface for creating AI chatbots, agents, and RAG pipelines.
TrueFoundry
Universal LLM Gateway & ML deployment hub: invoke 1000+ proxy models and manage MCP service instances natively.
Apify
Command Apify scrapers from your AI agent — run actors, extract web data, poll datasets, and automate browser tasks seamlessly.
You might also like
Nookipedia
Access the ultimate Animal Crossing encyclopedia — query villager data, New Horizons items, bugs, fish, and recipes directly from any AI agent.
Box
Manage files, folders, collaborations, and metadata on Box — the enterprise cloud content management platform.
DebtPayPro
Equip your AI agent to manage contacts, track payments, and monitor sales opportunities via the DebtPayPro API.