Pangea Security APIs MCP. Guard Inputs, Scrub Data, and Audit Everything.
Pangea Security APIs is an essential security layer for building LLM applications. It lets your AI client automatically scan inputs and outputs for sensitive data (PII), detect prompt injections, check IP origins against embargo lists, and manage user access rights before the information ever hits your model.
Give Claude and any AI agent real-world access
Automatically find and scrub sensitive information from plain text or complex JSON objects.
Analyze prompts and chat completions to detect malicious content, PII, and prompt injection attempts before processing.
Maintain a chronological record of all actions taken in your system and search those records using plain language.
Control who can access resources, manage user sessions, and programmatically create or update user accounts.
Check IP addresses for geopolitical embargoes, detect proxies, and scan files for known malware signatures.
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What AI agents can do with Pangea (Security APIs) - 36 Tools
These tools allow you to scan content for threats, manage user identities, secure communication channels, and track activity logs across your entire application.
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Start using Pangea (Security APIs) MCPAi Guard Prompt
Analyzes and redacts malicious or sensitive content found in LLM prompts.
Ai Guard Text
Scans any given text for PII, malicious patterns, and prompt injection attempts.
Aidr Chat Completions
Guards entire LLM chat completions while logging and tracing every interaction...
Audit Log Bulk
Creates multiple secure records of activity in your audit log at once.
Audit Log
Records a single, specific security event into the tamper-proof audit trail.
Audit Search Results
Retrieves pages of filtered search results from your historical audit log.
Audit Search
Searches the entire audit history using natural language questions.
Authn Flow Complete
Finalizes a user authentication flow and returns active session tokens.
Authn Flow Start
Initiates the process for a user to sign up or log in.
Authn Flow Update
Updates the state of an authentication flow, like submitting a password or OTP code.
Authn Session List
Retrieves a list of all currently active user sessions for management.
Authn Session Logout
Invalidates and ends one or more existing user login sessions.
Authn User Create
Creates a new user account programmatically within your system.
Authz Check
Determines if a specific user has permission to perform an action on a resource.
Authz List Resources
Lists all the resources that a given subject is authorized to access.
Authz Tuple Create
Defines specific relationship rules for managing resource permissions (AuthZ).
Domain Whois
Retrieves public WHOIS details associated with a given domain name.
Embargo Ip Check
Checks if an IP address originates from any country that is currently under embargo.
Embargo Iso Check
Verifies a two-letter ISO code against known lists of restricted countries.
File Scan
Scans an uploaded file to detect and flag any signs of malware or threats.
Intel Reputation
Fetches reputation scores for specific domains, URLs, or file hashes.
Ip Geolocate
Determines the physical location data associated with a given IP address.
Ip Proxy
Checks if an incoming IP address is masking its true source because it's a proxy.
Ip Reputation
Gets the overall reputation score and verdict for an entire IP address.
Ip Vpn
Checks to see if an incoming IP address is masking its source because it's a VPN connection.
Password Breached
Compares a password hash prefix against known databases of leaked credentials.
Redact Structured
Removes specific fields from a JSON object based on defined paths (JSONPath).
Redact Text
Scans and removes sensitive data from any block of plain text.
Sanitize File
Applies defined sanitization rules to a file, returning a cleaned version for safe...
Share Delete
Removes files or entire folders from the secure sharing area.
Share Folder Create
Creates new organizational folders within the secure file sharing service.
Share Get
Downloads a specific file or retrieves metadata about its properties.
Share List
Lists all objects within a designated bucket or folder, allowing for filtering.
Unredact
Reverses the redaction process on data that was previously protected using FPE...
User Breached
Checks if an email, phone number, or username appears in known public data breaches.
Vault Decrypt
Performs cryptographic decryption on stored secret values.
Vault Encrypt
Encrypts sensitive information to store it securely in the vault.
Vault Get
Retrieves item details or specific secret values from your secure Vault storage.
Vault Key Generate
Generates new symmetric or asymmetric cryptographic keys for use in the vault.
Vault Secret Store
Stores a secret value or access token securely within the system's Vault.
Security and governance baked right in.
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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 each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
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Start with Pangea (Security APIs), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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The Security Headache of LLM Data Flow
Today, handling data means jumping through hoops. You build a feature that accepts user input, and then you have to worry about it: Does the prompt contain an email address? Is this IP address flagged as high risk? If it's structured JSON, did someone put an SSN in field 4B? Usually, you write custom validation checks for every single one of those things.
With this MCP, your agent handles all that overhead. You don't write the checkers; you just call them. Your workflow automatically runs `ai_guard_text` and `redact_structured`. What you get is a clean data output, guaranteed safe and ready for your model.
Control Access with Authz Tools
Before implementing any feature that changes state—like creating a user or accessing a protected folder—you currently rely on backend logic to check permissions. This means if you forget one conditional statement, the whole system breaks open.
Now, your agent uses `authz_check` and `authz_list_resources`. You simply ask: 'Does User X have permission for Action Y on Resource Z?' It's a single, reliable check that prevents unauthorized actions from ever completing.
What Pangea Security APIs MCP does for your AI
When you build any application around a large language model, security is the biggest headache. You can’t trust what comes in or what goes out. This MCP gives you a unified way to enforce data rules right at the start of your process. It lets your agent automatically scrub plain text and structured JSON objects for private information; it also scans chat completions and prompts before they execute, stopping malicious inputs like prompt injections cold.
If you're tracking activity, you get more than just a log file—you can search through all historical events using natural language queries. You can also validate user identity by starting sign-in flows or checking if an IP address is coming from a restricted region. Because it’s hosted on Vinkius, connecting this MCP to your workflow means you don't have to build custom middleware; you just connect and start securing everything.
019e38d2-0adb-73a7-9430-682b11f9cd23 How to set up Pangea Security APIs MCP
The bottom line is that it wraps your existing AI logic in layers of mandatory security checks.
First, subscribe to this MCP on the Vinkius Marketplace and input your Pangea Token and Domain credentials.
Next, configure your AI client—like Cursor or Claude—to route sensitive inputs and outputs through the security tools provided by this MCP.
Finally, when a user interacts with your application, the tools run in real time, checking for threats, redacting data, and logging the event before proceeding.
Who uses Pangea Security APIs MCP
Security Engineers, AI Developers, and Compliance Officers need this. If you spend time building complex agent workflows but worry about data leaks or malicious inputs, this MCP gives you the guardrails you need without writing a single line of custom middleware.
Implementing safety checks and PII redaction for LLM interactions on both inputs and outputs.
Automating the analysis of audit logs, vetting incoming IP addresses, and managing system access controls.
Running natural language queries against historical security records to verify compliance trails quickly.
Benefits of connecting Pangea Security APIs MCP
Stop data leaks before they start. Use redact_text or redact_structured to strip PII from user inputs, ensuring your model never sees private customer data.
Protect against bad actors with AI Guarding. Tools like ai_guard_prompt and aidr_chat_completions detect prompt injections—the biggest risk in LLM workflows.
Achieve compliance easily. The MCP lets you use audit_search to query audit logs using plain English, making compliance checks fast instead of manual report generation.
Control access at the source. You can manage user sessions using authn_flow_start or check permissions with authz_check before running any critical code path.
Vet external data sources. Before your agent uses an IP address, run embargo_ip_check to guarantee it's not coming from a restricted region.
Pangea Security APIs MCP use cases
Handling Customer Support Chats
A support agent needs to log a customer complaint that includes their account number and personal address. Instead of copying the whole thing into the system, your agent runs ai_guard_text first. It automatically strips all PII, so the security team gets a usable, non-sensitive report.
Building Financial Agents
A financial modeling bot needs to process quarterly reports that are structured JSON files containing salary data. The agent uses redact_structured to zero out all the sensitive salary fields before handing the data off for analysis.
Onboarding New Users
A new employee needs access to a specific shared drive. Instead of manually asking an admin, your agent first runs authz_check and verifies if the user's role has permission for that resource before granting access.
Processing External APIs
Your application receives data from a third-party API endpoint. Before processing it, your agent calls embargo_ip_check to ensure the incoming connection IP address is not from a prohibited country.
Pangea Security APIs MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Assuming all inputs are safe
The developer writes code that sends user prompts directly into the LLM without any pre-screening, leaving the system open to prompt injection attacks.
Always run every incoming prompt through ai_guard_prompt and use aidr_chat_completions. This ensures malicious inputs are caught before they reach your model.
Manual data scrubbing
When a user complains, the team manually opens a spreadsheet, finds emails, and deletes them, which is slow and error-prone.
Let your agent handle it. Use redact_text to scrub PII from any text field automatically, guaranteeing consistency every time.
Ignoring historical activity
When an incident occurs, the team has to manually check multiple system logs and search through dates/user IDs using a basic filter.
Use audit_search to query your entire security history using natural language. Just ask: 'Show all login failures for marketing last week.' Done.
When to use Pangea Security APIs MCP
You should use this MCP if your primary concern is the integrity of data flowing through or residing within your AI application. If you need to verify who can do what (authz), check where IP addresses are coming from (embargo_ip_check), or scrub sensitive fields from structured data (redact_structured), this is your tool. Don't use it if you simply need basic file storage—you'll want a different object store MCP instead. Only use the identity tools (authn_*, authz_*) when you are actively building user management features, not just reading logs.
Frequently asked questions about Pangea Security APIs MCP
How do I use Pangea Security APIs MCP to redact JSON data? +
You call redact_structured and pass the JSON object along with a list of fields you want removed. This method is better than generic redaction because it uses specific JSON paths.
Is Pangea Security APIs MCP good for checking suspicious IPs? +
Yes. Use ip_geolocate to find where the IP comes from, and then run embargo_ip_check or ip_reputation to see if it's flagged as a proxy or coming from an embargoed nation.
What is the difference between audit_log and audit_log_bulk in Pangea Security APIs MCP? +
audit_log creates one single record for a specific event. Use audit_log_bulk when you need to create many related records at once, like logging ten user sign-ins.
Can I use Pangea Security APIs MCP to check if my password is safe? +
Yes, use the password_breached tool. It compares a hashed version of your password against public databases of leaked credentials to tell you if it's compromised.
Does Pangea Security APIs MCP help with general data storage? +
No, this MCP handles security and access control, not storage. You use vault_encrypt or vault_secret_store to secure the data, but you need a separate service for actual file storage.