Cisco Meraki MCP Server
Enables intelligent troubleshooting, monitoring, and configuration of Cisco Meraki networks through natural language, with agentic workflows for automated diagnostics and health checks.
README
Cisco Meraki MCP Server
A Model Context Protocol (MCP) server for intelligent Cisco Meraki network troubleshooting and configuration with agentic workflow capabilities.
Features
🔍 Discovery & Monitoring
- Organization Management: View and manage multiple Meraki organizations
- Network Discovery: Automatically discover networks and devices
- Real-time Status: Monitor device status, uplinks, and connectivity
- Health Alerts: Track and respond to network health alerts
🛠️ Troubleshooting Tools
- Device Diagnostics: Detailed device status and uplink analysis
- Client Troubleshooting: Track and diagnose client connectivity issues
- Connectivity Diagnosis: Multi-step intelligent diagnosis of network issues
- Automated Health Checks: Comprehensive organization-wide health assessment
⚙️ Configuration Management
- Device Configuration: Update device names, tags, addresses, and notes
- Network Settings: Manage network configurations and settings
- Wireless Management: Configure and manage wireless SSIDs
- Bulk Operations: Perform operations across multiple devices
🤖 Agentic Workflows
- Intelligent Diagnosis: AI-driven multi-step troubleshooting workflows
- Automated Health Checks: Proactive monitoring with actionable recommendations
- Context-Aware Suggestions: Smart recommendations based on network state
- Workflow Orchestration: Chain multiple operations for complex tasks
Installation
Prerequisites
- Python 3.10 or higher
- Cisco Meraki API key
- MCP-compatible client (Claude Desktop, Cline, etc.)
Setup
- Clone or download this repository
cd meraki-mcp-server
- Install dependencies
pip install -e .
- Set up your Meraki API key
Create a .env file:
MERAKI_API_KEY=your_api_key_here
Or export as environment variable:
export MERAKI_API_KEY=your_api_key_here
Getting Your Meraki API Key
- Log into the Meraki Dashboard
- Navigate to Organization > Settings
- Scroll to Dashboard API access
- Enable API access
- Generate and copy your API key
Configuration
Claude Desktop
Add to your claude_desktop_config.json:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"meraki-assistant": {
"command": "python",
"args": ["/path/to/meraki-mcp-server/server.py"],
"env": {
"MERAKI_API_KEY": "your_api_key_here"
}
}
}
}
Cline (VS Code Extension)
Add to your MCP settings:
{
"meraki-assistant": {
"command": "python",
"args": ["/path/to/meraki-mcp-server/server.py"],
"env": {
"MERAKI_API_KEY": "your_api_key_here"
}
}
}
Usage Examples
Basic Discovery Workflow
User: "Show me all my Meraki organizations"
Agent: [Uses get_organizations tool]
User: "Get the networks in organization XYZ"
Agent: [Uses get_networks with org_id]
User: "Show me all devices in network ABC"
Agent: [Uses get_network_devices]
Troubleshooting Workflow
User: "I'm having connectivity issues in my Seattle office network"
Agent: [Uses diagnose_connectivity_issue tool]
- Checks organization-wide uplink status
- Analyzes network health alerts
- Identifies offline devices
- Provides actionable recommendations
Automated Health Check
User: "Run a health check on my entire organization"
Agent: [Uses automated_health_check tool]
- Scans all networks
- Checks device status
- Reviews uplink connectivity
- Generates comprehensive report with recommendations
Configuration Management
User: "Update the name of device with serial Q2XX-XXXX-XXXX to 'Seattle-AP-01'"
Agent: [Uses update_device tool]
User: "Enable SSID 1 in network ABC and set the name to 'Corporate-WiFi'"
Agent: [Uses update_wireless_ssid tool]
Available Tools
Discovery Tools
get_organizations- List all accessible organizationsget_networks- Get networks in an organizationget_network_devices- List devices in a network
Monitoring Tools
get_device_status- Detailed device statusget_device_uplink_status- Uplink connectivity statusget_device_clients- Clients connected to a deviceget_network_health_alerts- Active alerts for a networkget_organization_uplink_statuses- Organization-wide uplink status
Client Tools
get_network_clients- All clients in a networkget_client_details- Detailed client information
Configuration Tools
update_device- Update device configurationupdate_network- Update network settingsget_wireless_ssids- List wireless SSIDsupdate_wireless_ssid- Update SSID configuration
Agentic Workflow Tools
diagnose_connectivity_issue- Intelligent multi-step diagnosisautomated_health_check- Comprehensive health assessment
Agentic Workflow Architecture
The server implements intelligent workflows that:
- Contextual Analysis: Understands the problem from user description
- Multi-Step Execution: Performs sequential diagnostic steps
- Data Correlation: Connects information across multiple API calls
- Smart Recommendations: Provides actionable next steps
- State Management: Maintains context across workflow steps
Example: Connectivity Diagnosis Flow
User Issue: "Office WiFi is slow"
↓
1. Check Organization Uplinks → Identify WAN issues
↓
2. Check Network Alerts → Identify configuration issues
↓
3. Check Device Status → Identify offline devices
↓
4. Analyze Client Connections → Identify congestion
↓
5. Generate Report → Prioritized recommendations
API Rate Limiting
The Meraki API has rate limits:
- 10 requests per second per organization
- The server implements automatic retry logic
- Use bulk operations when possible
Error Handling
The server provides detailed error messages:
- Authentication errors: Check API key validity
- 404 errors: Verify resource IDs
- Rate limiting: Automatic backoff and retry
- Network errors: Connection timeout handling
Development
Running Tests
pytest tests/
Code Formatting
black server.py
ruff check server.py
Adding New Tools
- Add tool definition in
handle_list_tools() - Add handler method (e.g.,
_handle_new_tool()) - Add routing in
handle_call_tool() - Update documentation
Troubleshooting
"API Key Not Set" Error
- Ensure
MERAKI_API_KEYis set in environment or config - Verify API key is valid and has proper permissions
"Connection Timeout" Errors
- Check internet connectivity
- Verify Meraki Dashboard is accessible
- Increase timeout in
httpx.AsyncClient
"404 Not Found" Errors
- Verify organization/network/device IDs
- Check API key has access to the resource
- Ensure resource exists in Dashboard
Tool Not Appearing in Client
- Restart MCP client (Claude Desktop, Cline, etc.)
- Check MCP server logs for errors
- Verify configuration file syntax
Security Best Practices
- Never commit API keys to version control
- Use environment variables for sensitive data
- Limit API key permissions to minimum required
- Rotate API keys periodically
- Monitor API usage via Meraki Dashboard
Contributing
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Submit a pull request
Resources
License
MIT License - See LICENSE file for details
Support
For issues and questions:
- Create an issue in this repository
- Check Meraki DevNet Community
- Review MCP Documentation
Changelog
v1.0.0 (2026-01-16)
- Initial release
- 18 tools covering discovery, monitoring, troubleshooting, and configuration
- Agentic workflow capabilities
- Intelligent diagnosis and automated health checks
- Full MCP protocol support
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.