Pangea▌
by pangeacyber
Pangea integrates AI and cyber security tools for threat intelligence, data protection, and advanced security analysis w
Integrates with Pangea's cybersecurity APIs to provide threat intelligence, data protection, and security analysis capabilities including reputation checking, embargo screening, sensitive data redaction, audit logging, and cryptographic key management with built-in AI Guard protection against malicious inputs and outputs.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Security engineers implementing threat detection
- / Compliance teams screening transactions
- / Developers building secure applications with data protection
- / Organizations requiring audit trails and key management
capabilities
- / Check IP/domain/URL reputations for threats
- / Screen entities against embargo lists
- / Redact sensitive data from text
- / Generate cryptographic keys and encrypt data
- / Log security events with tamper-proof audit trails
- / Protect against malicious AI inputs and outputs
what it does
Integrates with Pangea's cybersecurity APIs to provide threat intelligence, data protection, and security analysis capabilities. Includes reputation checking, data redaction, audit logging, and cryptographic key management.
about
Pangea is an official MCP server published by pangeacyber that provides AI assistants with tools and capabilities via the Model Context Protocol. Pangea integrates AI and cyber security tools for threat intelligence, data protection, and advanced security analysis w It is categorized under auth security.
how to install
You can install Pangea in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Pangea is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Pangea MCP Server
A Model Context Protocol (MCP) server that provides integration with Pangea APIs.

Prerequisites
- Node.js v24.11.0 or greater.
- A Pangea API token with access to all of AI Guard, Domain Intel, Embargo, IP Intel, Redact, Secure Audit Log, URL Intel, and Vault. This token needs to be stored in Pangea Vault. See Service Tokens for documentation on how to create and manage Pangea API tokens.
- A Pangea API token with access to Vault. This will be used to fetch the above token at runtime.
- A Pangea Secure Audit Log configuration with the "Standard Audit Log Config" schema. See Multiple Service Configurations for documentation on how to create a new Secure Audit Log configuration. Note down the configuration ID for later.
The first API token may look like:

Pangea setup from scratch
This section will go over how to set up a brand new Pangea account for this MCP server.
- Create a Pangea account at https://pangea.cloud/signup. During the account creation process, an organization (top-level group) and project (individual app) will be created as well. On the "Get started with a common service" dialog, just click on the Skip button to get redirected to the developer console.
- In the developer console, there will be a list of services in the left hand panel. Click on the Vault service to enable it. Vault provides secure storage of secrets, cryptographic keys, and Pangea API tokens.
- In the modal, there will be a prompt to create a new Pangea API token or to
extend an existing one. Choose Create a new token and click on Done.
This is the token that will be used later as the
PANGEA_VAULT_TOKENenvironment variable. - In the left hand panel, click on the Secure Audit Log service to enable it. Secure Audit Log provides transparent, immutable, and cryptographically verifiable tamperproof audit logging.
- Continue with the default Standard Audit Log schema.
- In the modal, there will be a prompt to create a new Pangea API token or to extend an existing one. Choose Create a new token. Ensure that the Store token in Vault checkbox is checked, then click Done.
- The Config ID displayed on the destination page is what will be used
later as the
PANGEA_AUDIT_CONFIG_IDenvironment variable. - Now the second token that was created must be extended to the rest of
Pangea's services. For each of the following services, click on its
respective item in the left hand panel and, in the modal that appears, choose
Extend an existing token. Select the token that was created in the
previous step (not the first token that was created for Vault alone), then
click Done.
- AI Guard — Protects data and interactions with LLMs.
- Domain Intel — Retrieves intelligence data for submitted domains. Supported providers: DomainTools, CrowdStrike, WhoisXML API.
- Embargo — Checks IPs and country codes against known sanction and trade embargo lists.
- IP Intel — IP monitoring. Supported providers: Team CYMRU, CrowdStrike, Digital Element.
- Redact — Controls sensitive information by performing redaction using defined rules.
- URL Intel — Retrieves intelligence about known URLs. Supported provider: CrowdStrike.
- Vault — Secure storage of secrets, cryptographic keys, and Pangea API tokens.
- Navigate to https://console.pangea.cloud/project/credentials. The token
that has been extended to all of the above services should be displayed with
a "Stored" indicator under the Vault column. Click on that to navigate
straight to the Vault item that contains that token. The ID of this item
is what will be used as the
PANGEA_VAULT_ITEM_IDenvironment variable.
Usage with Claude Desktop
Edit the following configuration file (create it if it does not exist):
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Replace (or merge) the file contents with the following:
{
"mcpServers": {
"pangea": {
"command": "npx",
"args": ["-y", "@pangeacyber/mcp-server"],
"env": {
"PANGEA_VAULT_TOKEN": "pts_00000000000000000000000000000000",
"PANGEA_VAULT_ITEM_ID": "pvi_00000000000000000000000000000000",
"PANGEA_AUDIT_CONFIG_ID": "pci_00000000000000000000000000000000"
}
}
}
}
- Update the
PANGEA_VAULT_TOKENvalue to the Pangea Vault API token. - Update the
PANGEA_VAULT_ITEM_IDvalue to the Vault item ID that contains the API token that will be used to call all other Pangea services. - Update the
PANGEA_AUDIT_CONFIG_IDvalue to the Secure Audit Log configuration ID. - Restart Claude Desktop.
Running as an HTTP server
npx @pangeacyber/mcp-server --transport httpStream --port 8080
Adding Pangea AuthN
When running the server with the streamable HTTP transport, it is possible to
optionally add authentication to the server via Pangea AuthN. To enable this
feature, set the --authn flag and set the following environment variables:
PANGEA_AUTHN_ISSUER— Pangea AuthN issuer URL.PANGEA_AUTHN_CLIENT_ID— Pangea AuthN client ID.PANGEA_AUTHN_CLIENT_SECRET— Pangea AuthN client secret.
Client setup
- Navigate to the Pangea AuthN dashboard.
- In the left hand panel, click on OAuth Server.
- Click on the + OAuth Client button on the right to begin creating a new
OAuth client.
- Name: Assign a recognizable name to your client as it will appear in the list of clients in the OAuth Server settings. This name may be updated at any time.
- Grant Type: must be Authorization Code.
- Response Types: only Code is required.
- Allowed Redirect URIs: enter
http://localhost:8000/pangea/callback. Note that for a production MCP server, this should use the remote address of the server (e.g.https://mcp.example.org/pangea/callback) instead of alocalhostaddress. - Allowed Scopes & Default Scopes:
openid.
- The Client ID and Client Secret should be the
PANGEA_AUTHN_CLIENT_IDandPANGEA_AUTHN_CLIENT_SECRETenvironment variables respectively. The Hosted Login URL that is displayed on the AuthN Overview page is thePANGEA_AUTHN_ISSUERenvironment variable.
Tools
AI Guard
- prompt_guard — Analyze and redact text to avoid manipulation of the model, addition of malicious content, and other undesirable data transfers.
Domain Intel
- lookup_domain_reputation — Look up reputation score(s) for one or more domains.
- whois — Retrieve WHOIS (an Internet resource's registered users or assignees) for a domain.
Embargo
- check_ip_embargo — Check one or more IP addresses against known sanction and trade embargo lists.
- check_iso_code_embargo — Check a country code against known sanction and trade embargo lists.
File Intel
- lookup_file_reputation — Retrieve a reputation score for a set of file hashes.
IP Intel
- lookup_ip_address_reputation — Look up reputation score(s) for one or more IP addresses.
- lookup_domain_from_ip_address — Retrieve the domain name associated with one or more IP addresses.
- is_proxy — Determine if one or more IP addresses originate from a proxy.
- is_vpn — Determine if one or more IP addresses originate from a VPN.
- geolocate — Geolocate, or retrieve location information associated with, one or more IP addresses.
Redact
- redact — Redact sensitive information from provided text.
Secure Audit Log
- log_entry — Create a log entry in the Secure Audit Log.
- search_log — Search the Secure Audit Log.
URL Intel
- lookup_url_reputation — Look up reputation score(s) for one or more URLs.
Vault
- get_vault_item — Retrieve details for a Vault key, secret, token, or folder.
- list_vault_items — Retrieve an array of Vault items matching a given filter, including secrets, keys, tokens, and folders, along with their common details.
- delete_vault_item — Delete a Vault key, secret, token, or folder.
- generate_key — Generate a symmetric or asymmetric key.
FAQ
- What is the Pangea MCP server?
- Pangea is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Pangea?
- This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★73 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Pangea reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chinedu Gonzalez· Dec 28, 2024
According to our notes, Pangea benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Olivia Jain· Dec 28, 2024
Pangea has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chinedu Robinson· Dec 16, 2024
We evaluated Pangea against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chinedu Park· Dec 12, 2024
We wired Pangea into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Valentina Lopez· Dec 8, 2024
I recommend Pangea for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Mei Harris· Dec 4, 2024
Pangea is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Mei Menon· Dec 4, 2024
Pangea reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Aditi Singh· Nov 27, 2024
Pangea reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ama Desai· Nov 27, 2024
Pangea is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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