Pangea (Security APIs) MCP Server for CrewAIGive CrewAI instant access to 40 tools to Ai Guard Prompt, Ai Guard Text, Aidr Chat Completions, and more

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

GDPR Free for Subscribers

Connect your CrewAI agents to Pangea (Security APIs) through Vinkius, pass the Edge URL in the `mcps` parameter and every Pangea (Security APIs) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Pangea (Security APIs) MCP Server for CrewAI is a standout in the Fort Knox category — giving your AI agent 40 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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VS Code

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+ other MCP clients

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Pangea (Security APIs) Specialist",
    goal="Help users interact with Pangea (Security APIs) effectively",
    backstory=(
        "You are an expert at leveraging Pangea (Security APIs) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Pangea (Security APIs) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 40 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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

About 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.

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.

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.

The Pangea (Security APIs) MCP Server exposes 40 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 40 Pangea (Security APIs) tools available for CrewAI

When CrewAI connects to Pangea (Security APIs) through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-guardrails, pii-redaction, threat-intelligence, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

Ai guard prompt on Pangea (Security APIs)

Analyze and redact content in LLM inputs/outputs

Ai guard text on Pangea (Security APIs)

Scan text for PII, malicious content, and prompt injections

aidr

Aidr chat completions on Pangea (Security APIs)

Guard LLM chat completions with integrated logging and tracing

audit

Audit log on Pangea (Security APIs)

Create a single secure audit log entry

audit

Audit log bulk on Pangea (Security APIs)

Create multiple secure audit log entries

audit

Audit search on Pangea (Security APIs)

Search the audit log using natural language queries

audit

Audit search results on Pangea (Security APIs)

Paginate through audit search results

authn

Authn flow complete on Pangea (Security APIs)

Finalize the flow and receive session tokens

authn

Authn flow start on Pangea (Security APIs)

Start a sign-up or sign-in flow

authn

Authn flow update on Pangea (Security APIs)

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

authn

Authn session list on Pangea (Security APIs)

List active user sessions

authn

Authn session logout on Pangea (Security APIs)

Invalidate sessions

authn

Authn user create on Pangea (Security APIs)

Programmatically create a user

authz

Authz check on Pangea (Security APIs)

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

authz

Authz list resources on Pangea (Security APIs)

List all resources a subject can access

authz

Authz tuple create on Pangea (Security APIs)

Define relationships for AuthZ

domain

Domain whois on Pangea (Security APIs)

Get WHOIS details for a domain

embargo

Embargo ip check on Pangea (Security APIs)

Check if an IP originates from an embargoed country

embargo

Embargo iso check on Pangea (Security APIs)

Check a 2-character ISO country code against embargo lists

file

File scan on Pangea (Security APIs)

Scan a file for malware

intel

Intel reputation on Pangea (Security APIs)

Retrieve reputation scores for domains, URLs, or file hashes

Ip geolocate on Pangea (Security APIs)

Retrieve location data for an IP

Ip proxy on Pangea (Security APIs)

Detect if an IP is a proxy

Ip reputation on Pangea (Security APIs)

Get reputation score and verdict for an IP

Ip vpn on Pangea (Security APIs)

Detect if an IP is a VPN

password

Password breached on Pangea (Security APIs)

Check if a password hash prefix appears in breach data

redact

Redact structured on Pangea (Security APIs)

Redact specific fields in a JSON object using JSONPath

redact

Redact text on Pangea (Security APIs)

Redact sensitive data from plain text

sanitize

Sanitize file on Pangea (Security APIs)

Apply sanitization rules to a file and receive a cleaned version

Share delete on Pangea (Security APIs)

Delete files or folders

Share folder create on Pangea (Security APIs)

Create folders in Secure Share

Share get on Pangea (Security APIs)

Download a file or retrieve metadata

Share list on Pangea (Security APIs)

List objects in a bucket or folder with filtering

action

Unredact on Pangea (Security APIs)

Decrypt data previously redacted using FPE

user

User breached on Pangea (Security APIs)

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

vault

Vault decrypt on Pangea (Security APIs)

Perform cryptographic decryption

vault

Vault encrypt on Pangea (Security APIs)

Perform cryptographic encryption

vault

Vault get on Pangea (Security APIs)

Retrieve item details or secret values from Vault

vault

Vault key generate on Pangea (Security APIs)

Generate symmetric or asymmetric keys in Vault

vault

Vault secret store on Pangea (Security APIs)

Store a secret or token in Vault

Connect Pangea (Security APIs) to CrewAI via MCP

Follow these steps to wire Pangea (Security APIs) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 40 tools from Pangea (Security APIs)

Why Use CrewAI with the Pangea (Security APIs) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Pangea (Security APIs) through the Model Context Protocol.

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

Pangea (Security APIs) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Pangea (Security APIs) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Pangea (Security APIs) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Pangea (Security APIs), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Pangea (Security APIs) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Pangea (Security APIs) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Pangea (Security APIs) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Pangea (Security APIs) immediately.

"Redact any PII from this text: 'My email is john.doe@example.com and I live in New York'."

"Search the audit logs for any 'login' events from the last 24 hours."

"Check if the IP address 1.1.1.1 is from an embargoed country."

Troubleshooting Pangea (Security APIs) MCP Server with CrewAI

Common issues when connecting Pangea (Security APIs) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Pangea (Security APIs) + CrewAI FAQ

Common questions about integrating Pangea (Security APIs) MCP Server with CrewAI.

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.