Prisma Cloud Docs▌
by clarkemn
Easily search Prisma Cloud docs, including API documentation, for Dropbox shared file help. Find quick, structured resul
Provides search access to Prisma Cloud documentation by crawling and indexing pages from both main docs and API documentation, implementing caching with TTL expiration and relevance scoring to return structured results with snippets and URLs for quick documentation access.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Cloud security engineers using Prisma Cloud
- / Developers integrating with Prisma Cloud APIs
- / Teams needing quick access to Prisma Cloud docs
capabilities
- / Search Prisma Cloud documentation
- / Query API reference pages
- / Return structured results with snippets and URLs
- / Cache documentation for faster searches
what it does
Searches Prisma Cloud documentation and API references directly from Claude, with caching and relevance scoring for fast results.
about
Prisma Cloud Docs is a community-built MCP server published by clarkemn that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily search Prisma Cloud docs, including API documentation, for Dropbox shared file help. Find quick, structured resul It is categorized under productivity.
how to install
You can install Prisma Cloud Docs 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
MIT
Prisma Cloud Docs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Prisma Cloud Docs MCP Server
<a href="https://glama.ai/mcp/servers/@clarkemn/prisma-cloud-docs-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@clarkemn/prisma-cloud-docs-mcp-server/badge" /> </a>A Model Context Protocol (MCP) server that provides search access to Prisma Cloud documentation. This server allows Claude and other MCP-compatible clients to search through Prisma Cloud's official documentation and API references.
Note: This server has been migrated to HTTP transport and container deployment for improved scalability and performance. The server now runs in HTTP mode when deployed via Smithery.
Features
- Search across Prisma Cloud documentation
- Search Prisma Cloud API documentation
- Caching system for improved performance
- Real-time indexing of documentation sites
Installation
Option 1: From PyPI (Recommended)
No installation needed! Just use uvx in your Claude Desktop configuration.
Installing via Smithery
To install prisma-cloud-docs-mcp-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @clarkemn/prisma-cloud-docs-mcp-server --client claude
Option 2: Development Installation
Prerequisites
- Python 3.12 or higher
- uv package manager
Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
Clone and Setup
git clone https://github.com/clarkemn/prisma-cloud-docs-mcp-server.git
cd prisma-cloud-docs-mcp-server
uv sync
Usage
With Claude Desktop
Add this server to your Claude Desktop configuration file:
Location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
Option 1: Direct from PyPI (Recommended)
{
"mcpServers": {
"Prisma Cloud Docs": {
"command": "uvx",
"args": ["prisma-cloud-docs-mcp-server@latest"],
"env": {},
"transport": "stdio"
}
}
}
Option 2: Local Development
{
"mcpServers": {
"Prisma Cloud Docs": {
"command": "uv",
"args": ["run", "python", "server.py"],
"cwd": "/path/to/prisma-cloud-docs-mcp-server",
"env": {},
"transport": "stdio"
}
}
}
Replace /path/to/prisma-cloud-docs-mcp-server with the actual path to where you cloned this repository.
Manual Testing
You can test the server manually:
echo '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "test", "version": "1.0"}}}' | uv run python server.py
Available Tools
The server provides these MCP tools:
index_prisma_docs(max_pages: int = 50)- Index Prisma Cloud documentation (call this first)index_prisma_api_docs(max_pages: int = 50)- Index Prisma Cloud API documentationsearch_prisma_docs(query: str)- Search Prisma Cloud documentationsearch_prisma_api_docs(query: str)- Search Prisma Cloud API documentationsearch_all_docs(query: str)- Search across all indexed documentationget_index_status()- Check indexing status and cache statistics
Development
Running the server
HTTP mode (Production/Smithery):
uv run python -m src.main
STDIO mode (Local development):
uv run python server.py
Container mode:
docker build -t prisma-docs-server .
docker run -p 8081:8081 -e PORT=8081 prisma-docs-server
Installing dependencies
uv sync
Project structure
prisma-cloud-docs-mcp-server/
├── src/
│ ├── main.py # HTTP MCP server implementation
│ └── middleware.py # Configuration middleware for Smithery
├── server.py # Legacy STDIO server (for local development)
├── pyproject.toml # Project configuration
├── uv.lock # Dependency lock file
├── Dockerfile # Container deployment
├── smithery.yaml # Smithery container configuration
└── README.md # This file
License
MIT License - see LICENSE file for details.
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Test with Claude Desktop
- Submit a pull request
Troubleshooting
Server not starting in Claude Desktop
- Ensure
uvis installed and in your PATH - Verify the path to the project directory is correct
- Check Claude Desktop logs for specific error messages
Missing dependencies
Run uv sync to ensure all dependencies are installed.
Documentation not found
The server needs to index documentation first. Use the index_prisma_docs or index_prisma_api_docs tools before searching.
FAQ
- What is the Prisma Cloud Docs MCP server?
- Prisma Cloud Docs 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 Prisma Cloud Docs?
- This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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
4.5★★★★★73 reviews- ★★★★★Amelia Nasser· Dec 28, 2024
Prisma Cloud Docs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Jin Johnson· Dec 28, 2024
I recommend Prisma Cloud Docs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Aditi Garcia· Dec 24, 2024
Useful MCP listing: Prisma Cloud Docs is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★James Tandon· Dec 24, 2024
We wired Prisma Cloud Docs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ganesh Mohane· Dec 20, 2024
According to our notes, Prisma Cloud Docs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Neel Sethi· Dec 20, 2024
Prisma Cloud Docs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Shikha Mishra· Dec 16, 2024
Prisma Cloud Docs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Alexander Robinson· Dec 16, 2024
Prisma Cloud Docs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Carlos Sethi· Dec 8, 2024
Prisma Cloud Docs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ishan Lopez· Nov 19, 2024
Prisma Cloud Docs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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