CrewAIFramework

Pangea (Security APIs) MCP Server

Bring Ai Guardrails
to CrewAI

Name: Pangea (Security APIs) MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Pangea (Security APIs) to CrewAI and start using 40 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Ai Guard PromptAi Guard TextAidr Chat CompletionsAudit LogAudit Log BulkAudit SearchAudit Search ResultsAuthn Flow CompleteAuthn Flow StartAuthn Flow UpdateAuthn Session ListAuthn Session LogoutAuthn User CreateAuthz CheckAuthz List ResourcesAuthz Tuple CreateDomain WhoisEmbargo Ip CheckEmbargo Iso CheckFile ScanIntel ReputationIp GeolocateIp ProxyIp ReputationIp VpnPassword BreachedRedact StructuredRedact TextSanitize FileShare DeleteShare Folder CreateShare GetShare ListUnredactUser BreachedVault DecryptVault EncryptVault GetVault Key GenerateVault Secret Store

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Pangea (Security APIs) MCP Server?

Integrate Pangea into your AI workflows to provide a robust security layer for LLM interactions and organizational data. This server provides a unified interface to Pangea's cloud-native security services.

Key Capabilities

AI Security & Guarding — Use ai_guard_text and ai_guard_prompt to detect prompt injections, PII, and malicious content before they reach your model or user.
Data Privacy — Automatically redact sensitive information from plain text or structured JSON objects using redact_text and redact_structured.
Secure Auditing — Maintain a tamper-proof record of activities with audit_log and perform natural language searches through your security history via audit_search.
Threat Intelligence — Check for embargoed locations with embargo_ip_check and scan files for threats with sanitize_file.
Identity & Access — Manage authentication flows, user sessions, and authorization tuples directly from your agent.

How it works

Subscribe to this server
Enter your Pangea Token and Domain from the Pangea Console
Start securing your AI agents in Claude, Cursor, or any MCP-compatible client

Who is this for?

Security Engineers — Automate audit log analysis and threat intelligence checks within your existing tools.
AI Developers — Implement safety rails and PII redaction for LLM inputs and outputs without building custom middleware.
Compliance Officers — Quickly search and verify audit trails using natural language queries.

Built-in capabilities (40)

ai_guard_prompt

Analyze and redact content in LLM inputs/outputs

ai_guard_text

Scan text for PII, malicious content, and prompt injections

aidr_chat_completions

Guard LLM chat completions with integrated logging and tracing

audit_log

Create a single secure audit log entry

audit_log_bulk

Create multiple secure audit log entries

audit_search

Search the audit log using natural language queries

audit_search_results

Paginate through audit search results

authn_flow_complete

Finalize the flow and receive session tokens

authn_flow_start

Start a sign-up or sign-in flow

authn_flow_update

Update flow state (e.g., submit password, OTP)

authn_session_list

List active user sessions

authn_session_logout

Invalidate sessions

authn_user_create

Programmatically create a user

authz_check

Check if a subject has permission for an action on a resource

authz_list_resources

List all resources a subject can access

authz_tuple_create

Define relationships for AuthZ

domain_whois

Get WHOIS details for a domain

embargo_ip_check

Check if an IP originates from an embargoed country

embargo_iso_check

Check a 2-character ISO country code against embargo lists

file_scan

Scan a file for malware

intel_reputation

Retrieve reputation scores for domains, URLs, or file hashes

ip_geolocate

Retrieve location data for an IP

ip_proxy

Detect if an IP is a proxy

ip_reputation

Get reputation score and verdict for an IP

ip_vpn

Detect if an IP is a VPN

password_breached

Check if a password hash prefix appears in breach data

redact_structured

Redact specific fields in a JSON object using JSONPath

redact_text

Redact sensitive data from plain text

sanitize_file

Apply sanitization rules to a file and receive a cleaned version

share_delete

Delete files or folders

share_folder_create

Create folders in Secure Share

share_get

Download a file or retrieve metadata

share_list

List objects in a bucket or folder with filtering

unredact

Decrypt data previously redacted using FPE

user_breached

Check if an email, phone, or username appears in known data breaches

vault_decrypt

Perform cryptographic decryption

vault_encrypt

Perform cryptographic encryption

vault_get

Retrieve item details or secret values from Vault

vault_key_generate

Generate symmetric or asymmetric keys in Vault

vault_secret_store

Store a secret or token in Vault

Why CrewAI?

When paired with CrewAI, Pangea (Security APIs) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Pangea (Security APIs) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

—
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
—
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime
—
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
—
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Pangea (Security APIs) in CrewAI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Pangea (Security APIs) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Pangea (Security APIs) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for CrewAI →

Enterprise Security

Why teams choose Vinkius for Pangea (Security APIs) in CrewAI

The Pangea (Security APIs) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 40 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Pangea (Security APIs) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures
Pangea (Security APIs) for CrewAI

Every tool call from CrewAI to the Pangea (Security APIs) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I protect my LLM from prompt injections or malicious content?

You can use the ai_guard_prompt tool to analyze LLM messages. It scans for prompt injections, PII, and other security risks, providing a safety score and redaction suggestions before the data is processed.

Can I search through my security logs using natural language?

Yes! The audit_search tool allows you to query your secure audit logs using natural language or structured queries, making it easy to find specific events without complex SQL.

How do I automatically redact PII from a block of text?

Use the redact_text tool. Simply provide the text, and Pangea will identify and mask sensitive information like emails, phone numbers, and names based on your configured rules.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.