Infisical MCP for AI. Manage every credential, no dashboard required.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Infisical MCP lets your AI agent manage credentials directly from your chat client. List, get, create, update, and audit secrets across dev, staging, and production environments without leaving your terminal.
It handles the complexity of secret infrastructure so you can focus on coding.
What your AI can do
Create secret
Provisions a brand new secret value or credential at a specified path in your project.
Delete secret
Removes an existing secret from the Infisical project; this action cannot be undone.
Get project info
Retrieves general configuration and metadata about your connected Infisical project.
List recent audit logs and check which service identities accessed secrets.
Fetch high-level information about the configured Infisical project.
List all available environments (like dev, staging, prod) so you know which context to use.
Create new secrets, pull existing values, update credentials, or delete them entirely.
Audit what secrets exist within a specific path in the current project and environment.
Ask an AI about this
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Infisical: 9 Secret Management Tools
These tools allow you to programmatically create, retrieve, modify, and audit every secret within your connected Infisical project using natural language commands.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Infisical on VinkiusCreate Secret
Provisions a brand new secret value or credential at a specified path in your project.
Delete Secret
Removes an existing secret from the Infisical project; this action cannot be undone.
Get Project Info
Retrieves general configuration and metadata about your connected Infisical project.
Get Secret
Pulls the value for a specific secret key, optionally specifying its path within the...
List Audit Logs
Generates a list of recent activity logs needed for security and compliance checking.
List Environments
Lists all available operational environments (like dev, staging, prod) configured in the project.
List Identities
Shows all machine identities and service accounts configured for automated access within your organization.
List Secrets
Provides a directory listing of existing secrets at a given path, useful for quick...
Update Secret
Changes the value of an existing secret key; you must specify the key first.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Infisical integration is available immediately — no restart needed.
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 Infisical, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Infisical. 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 connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Dealing with credentials means constant context switching.
Today's process requires opening multiple dashboards—one for dev secrets, one for staging, and another for production. You copy the key name into a script, paste it into a terminal, then switch to the logging panel just to check if that access was logged correctly. It’s tedious, and you lose time clicking between tabs.
With this MCP, your agent handles all of that behind the scenes. You talk about secrets—whether you need to get credentials or list identities—and it executes the necessary workflow instantly. The result is a clean confirmation in your chat window: 'Done.'
Managing Secrets with Infisical MCP
The manual steps of checking environment slugs, confirming paths, and then manually executing separate API calls for each action disappear. You don't run `list_environments` first, then remember to scope your next call; the agent handles that scoping automatically.
What's different is simplicity. Instead of being an infrastructure expert who needs five tools open at once, you just need to talk to your AI client and get the job done.
What your AI can actually do with this
Dealing with secrets used to mean switching contexts—jumping into a dashboard just to read an environment variable or provision a new key. Now, your AI client connects directly through this MCP, letting you manage credentials using natural conversation. You don't need to remember complex API calls; you just ask for what you need.
Need to see which secrets are active in staging? Just ask the agent. Want to create a new credential or update an existing one? It handles the whole lifecycle. If your current workflow uses other types of integrations, like simple REST API wrappers, this MCP gives you that same control but wrapped up for AI consumption.
You'll find it connected in the Vinkius Marketplace alongside thousands of other tools, giving you a single point of access to all your infrastructure data.
019d84ae-6875-7332-9932-746db88579bf 
Here's how it actually works
The bottom line is, you never have to leave your chat interface to perform critical secret operations again.
Subscribe to this MCP, then input your Infisical Service Token, API URL, Project ID, and environment slug.
Your AI client authenticates with these credentials, mapping the secret management tools into its operational context.
You start managing secrets by giving a natural language command (e.g., 'What's the database key for staging?'), and the agent executes the necessary actions.
Who is this actually for?
This MCP is for the ops engineer who's tired of context switching between dashboards and terminals. It targets anyone whose job requires constant access to sensitive configuration data across multiple deployment stages.
You manage secrets across environments without ever having to switch tabs or write complex CLI scripts.
You audit secret access patterns and check identity permissions directly from your agent, fulfilling compliance requirements quickly.
You automate credential rotation and environment configuration workflows by simply asking the system to run them.
What Changes When You Connect
Instead of manually querying multiple dashboards to find credentials, you can use the agent to execute get_secret directly. You ask for it, and you get it.
Audit compliance becomes immediate. Use list_audit_logs to pull security records instead of navigating through a complex logging UI.
You eliminate environment context switching. First, run list_environments, then tell the agent which environment's secrets you need before running any CRUD operation.
It keeps your infrastructure state visible. You can use list_secrets to audit what credentials exist in a path without having to guess or manually map out the structure.
Identity management is simplified. Use list_identities to see who has access before an automated system attempts to provision something new.
See it in action
Need to onboard a new service credential?
A platform engineer realizes the billing microservice needs a new API key. Instead of logging into the secret manager, they just tell their agent: 'Create a new secret for the billing service.' The agent runs create_secret, gets confirmation, and they're done.
Security audit showing suspicious access?
A security analyst notices unusual activity. They ask the agent to run list_audit_logs for the last 24 hours. The output immediately flags when a specific identity accessed credentials in an unexpected sequence.
Checking production secrets before deployment?
A DevOps engineer needs to verify if a critical key exists in production. They tell their agent: 'List all secrets under the root path for production.' The agent runs list_secrets and confirms the presence of the required keys.
Updating an expired credential?
The CI/CD pipeline fails because a database password expired. Instead of manually logging in, the engineer asks the agent to update it: 'Update the value for DATABASE_URL.' The agent uses update_secret and confirms success.
The honest tradeoffs
Manual dashboard checks
A developer opens three separate browser tabs (dev, staging, prod) to manually check if a key exists. They copy the value from one tab and paste it into another.
Don't click around. Tell your agent: 'List all secrets under / for production.' The agent uses list_secrets across environments in seconds.
Relying on tribal knowledge
A new hire assumes the key is stored at /api/v2/key. They can't remember if it was actually at /config/v2/key.
Always audit first. Ask your agent to run list_secrets on a suspected path. It verifies what exists before you try to read or write anything.
Deleting things without checking
Panicked during an incident, a developer tries to delete a secret based on memory and runs the deletion command without confirmation.
Always list first. Run list_secrets to confirm the exact name and path before you use delete_secret. It’s irreversible.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is managing sensitive credentials across multiple environments without leaving your chat client. If you need a simple, one-off API call (like just fetching project info), the agent handles that fine. However, don't use it if your entire workflow is about building complex custom data models or needing to interact with highly specialized systems outside of standard secret management practices; for those cases, look at a dedicated integration platform. If you only need read access, listing secrets and reading logs is sufficient. If you need full CRUD control plus auditing, this MCP covers it all.
Questions you might have
How do I list all secrets in production using the list_secrets tool? +
You ask your agent to run list_secrets while specifying the 'production' environment. It will return a directory listing of every secret at that path, saving you from manually checking each environment.
Can I use get_secret to pull credentials for staging? +
Yes. You tell your agent which environment and key name you need, and it executes get_secret securely. This prevents accidental credential exposure by ensuring the correct context is applied.
What if I want to delete a secret? Do I need to run list_identities first? +
No. You can use delete_secret directly, but it's always smart practice to check who has access using list_identities beforehand. It helps you understand the blast radius before making changes.
Does the MCP help me track compliance? How does list_audit_logs work? +
The agent uses list_audit_logs to pull detailed logs showing every access attempt, who attempted it, and when. This is your primary tool for proving compliance.
What information does `get_project_info` provide about my current connection setup? +
It returns core configuration details for your project. This confirms the API URL, Project ID, and environment status you're currently operating within.
Before I run an update command, how can I check which environments are available using `list_environments`? +
It provides a clear list of all configured scopes, like dev, staging, and production. This ensures you target the right environment before running sensitive updates.
If I use `create_secret` but the key already exists, what error message should I expect? +
The tool throws an exception stating that the key must not already exist at that path. This means you need to run update_secret instead of trying to create it.
What is the purpose of running `list_identities` for security auditing? +
It lists all machine identities configured in your organization. You use this list to audit automated access and verify which services have permissions.
Is it safe to manage secrets through an AI agent? +
Your credentials are stored encrypted in the Vinkius vault, transmitted only to the Infisical API at runtime. The AI agent never sees raw secret values in its context — only structured operational results.
We've already built the connector for Infisical. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting.
You're up and running in seconds.
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Built, hosted, and secured by Vinkius. You just connect and go.