Automate LibreNMS Data Access and Management
Python MCP server giving AI assistants read and write access to LibreNMS network monitoring data - devices, alerts, ports, and logs.
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Why it matters
Programmatically access and manage your LibreNMS network monitoring data. Automate tasks like device listing, updates, and group management through an advanced MCP server.
Outcomes
What it gets done
Query LibreNMS devices, ports, and inventory with flexible filtering.
Automate device addition, updates, and deletion.
Manage device groups and monitor network topology and status.
Integrate LibreNMS data into custom automation scripts and applications.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-librenms-mcp | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
No reports yet
Capabilities
Tools your agent gets
List all devices with optional filters
Get details for a specific device
Add a new device
Update device metadata
Delete a device
List all ports for a device
Get details for a specific port on a device
Get device availability
Overview
librenms-mcp MCP Server
LibreNMS MCP Server gives AI assistants programmable read and write access to LibreNMS network monitoring data - devices, ports, alerts, inventory, and logs - with pagination, rate limiting, and a read-only mode for safe production use. Use it when an AI assistant needs to query or manage a real LibreNMS instance; enable read-only mode and disabled tags to scope it down for safe monitoring rather than full write access.
What it does
LibreNMS MCP Server is a Python-based Model Context Protocol server that gives AI assistants programmable access to LibreNMS network monitoring data - devices, ports, alerts, inventory, locations, and logs - with both read and write operations.
When to use - and when NOT to
Use it when you want an AI assistant to query network state (device status, port traffic, alerts, event logs), or perform management actions (adding devices, editing alert rules, running bulk operations) against a real LibreNMS instance. For safe, read-only monitoring or querying against production, enable READ_ONLY_MODE=true to disable all write operations, and use DISABLED_TAGS to turn off entire categories of tools, such as alerts or billing, you don't want exposed.
Capabilities
The server covers the bulk of LibreNMS's data model through tagged tool groups: devices and inventory (list/get/add/update/delete devices, ports, VLANs, links, forwarding-database and NAC sessions, maintenance mode), ports and port groups, port security, alerting (current/historical alerts, alert rules, alert templates), logs (event, syslog, alert, auth logs), billing, Oxidized config backup and search, and network/monitoring tools (ARP, BGP, OSPF, VRF, health sensors, system info). Graph tools render device- and port-level graphs as MCP images (SVG or PNG depending on the LibreNMS version). All list, search, and log tools support pagination with a default 100-result page size and metadata (limit, offset/start, count, total). Security features include rate limiting on a sliding window, tag-based tool filtering, optional Sentry error tracking and performance monitoring, and a tool-search transform (search_tools/call_tool, BM25 or regex) that reduces prompt size for the full tool catalog. SSL certificate verification and connection timeouts are configurable via LIBRENMS_VERIFY_SSL and LIBRENMS_TIMEOUT. Sentry integration, when enabled via a SENTRY_DSN, captures exceptions, performance traces, and MCP-specific activity, and stays fully inert otherwise.
How to install
Install from PyPI with uv or pip:
uvx librenms-mcp
Then point it at your LibreNMS instance:
export LIBRENMS_URL=https://domain.tld:8443
export LIBRENMS_TOKEN=your-librenms-token
Docker images are also published on GitHub Packages - a standard STDIO image and an MCPO image for use with Open WebUI. Transport defaults to stdio, with SSE and HTTP-streamable options available, each optionally protected by a bearer token, for network-based deployments. The project is MIT licensed.
Who it's for
Network operations teams and NOC engineers who want an AI assistant to query, monitor, and optionally manage a LibreNMS-monitored network - triaging alerts, checking device health, or automating routine device and port administration - without writing custom LibreNMS API integration code.
Source README
LibreNMS MCP Server
LibreNMS MCP Server is a Python-based Model Context Protocol (MCP) server designed to provide advanced, programmable access to LibreNMS network monitoring data and management features. It exposes a modern API for querying, automating, and integrating LibreNMS resources such as devices, ports, alerts, inventory, locations, logs, and more. The server supports both read and write operations, robust security features, and is suitable for integration with automation tools, dashboards, and custom network management workflows.
Features
Core Features
- Query LibreNMS devices, ports, inventory, locations, logs, and alerts with flexible filtering
- Retrieve network topology, device status, and performance metrics
- Access and analyze alert history, event logs, and system health
- Monitor interface statistics, port status, and traffic data
- Track endpoints and connected devices by MAC or IP address
- Retrieve and manage device groups, port groups, and poller groups
- Get detailed information about network services and routing
Management Operations
- Create, update, and delete devices, ports, and groups (if enabled)
- Manage alert rules, notifications, and device metadata
- Configure read-only mode to restrict all write operations for safe monitoring
- Support for bulk operations on devices and ports
Advanced Capabilities
- Rate limiting and API security features
- Real-time network monitoring and health tracking
- Comprehensive logging and audit trails
- SSL/TLS support and configurable timeouts
- Optional tool-search transform for large tool catalogs
- Extensible with custom middlewares and utilities
Installation
Prerequisites
- Python 3.11 to 3.14
- Access to a LibreNMS
- Valid LibreNMS token with appropriate permissions
Quick Install from PyPI
The easiest way to get started is to install from PyPI:
# Using UV (recommended)
uvx librenms-mcp
# Or using pip
pip install librenms-mcp
Remember to configure the environment variables for your LibreNMS instance before running the server:
# Create environment configuration
export LIBRENMS_URL=https://domain.tld:8443
export LIBRENMS_TOKEN=your-librenms-token
For more details, visit: https://pypi.org/project/librenms-mcp/
Install from Source
- Clone the repository:
git clone https://github.com/mhajder/librenms-mcp.git
cd librenms-mcp
- Install dependencies:
# Using UV (recommended)
uv sync
# Or using pip
pip install -e .
- Configure environment variables:
cp .env.example .env
# Edit .env with your LibreNMS url and token
- Run the server:
# Using UV (recommended)
uv run librenms-mcp
# Or using the installed command directly
librenms-mcp
Using Docker
A Docker images are available on GitHub Packages for easy deployment.
# Normal STDIO image
docker pull ghcr.io/mhajder/librenms-mcp:latest
# MCPO image for usage with Open WebUI
docker pull ghcr.io/mhajder/librenms-mcpo:latest
Development Setup
For development with additional tools:
# Clone and install with development dependencies
git clone https://github.com/mhajder/librenms-mcp.git
cd librenms-mcp
uv sync --group dev
# Run tests
uv run pytest
# Run with coverage
uv run pytest --cov=src/
# Run linting and formatting
uv run ruff check .
uv run ruff format .
# Run type checking
uv run ty check .
# Setup pre-commit hooks
uv run prek install
Configuration
Environment Variables
# LibreNMS Connection Details
LIBRENMS_URL=https://domain.tld:8443
LIBRENMS_TOKEN=your-librenms-token
# SSL Configuration
LIBRENMS_VERIFY_SSL=true
LIBRENMS_TIMEOUT=30
# Read-Only Mode
# Set READ_ONLY_MODE true to disable all write operations (put, post, delete)
READ_ONLY_MODE=false
# Disabled Tags
# Comma-separated list of tags to disable tools for (empty by default)
# Example: DISABLED_TAGS=alert,bills
DISABLED_TAGS=
# Logging Configuration
LOG_LEVEL=INFO
# Rate Limiting (requests per minute)
# Set RATE_LIMIT_ENABLED true to enable rate limiting
RATE_LIMIT_ENABLED=false
RATE_LIMIT_MAX_REQUESTS=100
RATE_LIMIT_WINDOW_MINUTES=1
# Tool Search Transform (Optional)
# Set TOOL_SEARCH_ENABLED true to replace full tool listings with search_tools + call_tool
TOOL_SEARCH_ENABLED=false
# Search strategy: bm25 (natural language) or regex (pattern match)
TOOL_SEARCH_STRATEGY=bm25
# Maximum number of tools returned by search_tools
TOOL_SEARCH_MAX_RESULTS=5
# Sentry Error Tracking (Optional)
# Set SENTRY_DSN to enable error tracking and performance monitoring
# SENTRY_DSN=https://your-key@o12345.ingest.us.sentry.io/6789
# Optional Sentry configuration
# SENTRY_TRACES_SAMPLE_RATE=1.0
# SENTRY_SEND_DEFAULT_PII=true
# SENTRY_ENVIRONMENT=production
# SENTRY_RELEASE=1.2.3
# SENTRY_PROFILE_SESSION_SAMPLE_RATE=1.0
# SENTRY_PROFILE_LIFECYCLE=trace
# SENTRY_ENABLE_LOGS=true
# MCP Transport Configuration
# Transport type: 'stdio' (default), 'sse' (Server-Sent Events), or 'http' (HTTP Streamable)
MCP_TRANSPORT=stdio
# HTTP Transport Settings (used when MCP_TRANSPORT=sse or MCP_TRANSPORT=http)
# Host to bind the HTTP server (default: 127.0.0.1)
# MCP_HTTP_HOST=127.0.0.1
# Port to bind the HTTP server (default: 8000)
# MCP_HTTP_PORT=8000
# Optional bearer token for authentication (leave empty for no auth)
# MCP_HTTP_BEARER_TOKEN=
Available Tools
Device & Inventory Tools
devices_list: List all devices (with optional filters)device_get: Get details for a specific devicedevice_add: Add a new devicedevice_update: Update device metadatadevice_delete: Remove a devicedevice_ports: List all ports for a devicedevice_ports_get: Get details for a specific port on a devicedevice_fdb: List the forwarding database (learned MACs) for a devicedevice_nac: List network access control (802.1X / MAB) sessions on a devicedevice_availability: Get device availabilitydevice_outages: Get device outagesdevice_set_maintenance: Set device maintenance modedevice_discover: Discover or add a device using provided credentialsdevice_rename: Rename an existing devicedevice_maintenance_status: Get the maintenance status for a devicedevice_vlans: List VLANs for a devicedevice_links: List links for a devicedevice_eventlog_add: Add an event log entry for a deviceinventory_device: Get inventory for a deviceinventory_device_flat: Get flat inventory for a devicedevicegroups_list: List device groupsdevicegroup_add: Add a device groupdevicegroup_update: Update a device groupdevicegroup_delete: Delete a device groupdevicegroup_devices: List devices in a device groupdevicegroup_set_maintenance: Set maintenance for a device groupdevicegroup_add_devices: Add devices to a device groupdevicegroup_remove_devices: Remove devices from a device grouplocations_list: List all locationslocation_add: Add a locationlocation_edit: Edit a locationlocation_delete: Delete a locationlocation_get: Get details for a locationlocation_set_maintenance: Set maintenance for a location
Port & Port Group Tools
ports_list: List all ports (with optional filters)ports_search: Search ports (general search)ports_search_field: Search ports by a specific fieldports_search_mac: Search ports by MAC addressport_get: Get details for a specific portport_fdb: List MAC addresses learned on a portport_ip_info: Get IP address information for a portport_transceiver: Get transceiver information for a portport_description_get: Get a port descriptionport_description_update: Update a port descriptionport_groups_list: List port groupsport_group_add: Add a port groupport_group_list_ports: List ports in a port groupport_group_assign: Assign ports to a port groupport_group_remove: Remove ports from a port group
Port Security Tools
port_security_list: List port security configuration across all devicesport_security_device: Get port security configuration for a deviceport_security_port: Get port security configuration for a single port
Graph Tools
Graphs are returned as MCP images. LibreNMS serves SVG on current releases and
PNG on older ones; the MIME type is taken from the response.
device_graphs_list: List the graph types available for a devicedevice_graph: Render a device-level graph (e.g.device_icmp_perf)port_graph: Render a per-port graph by interface name (bits,upkts,errors,etherlike)port_group_graph: Render a traffic graph for one or more ports by port ID
port_graph falls back to the port-group endpoint for bits when the per-port
endpoint fails, which works around LibreNMS releases that return a 500 naming an
empty graph type.
Alerting & Logging Tools
alerts_get: List current and historical alertsalert_get_by_id: Get details for a specific alertalert_acknowledge: Acknowledge an alertalert_unmute: Unmute an alertalert_rules_list: List alert rulesalert_rule_get: Get details for a specific alert rulealert_rule_add: Add an alert rulealert_rule_edit: Edit an alert rulealert_rule_delete: Delete an alert rulealert_templates_list: List all alert templatesalert_template_get: Get a specific alert templatealert_template_create: Create a new alert templatealert_template_edit: Edit an alert templatelogs_eventlog: Get event log for a devicelogs_syslog: Get syslog for a devicelogs_alertlog: Get alert log for a devicelogs_authlog: Get auth log for a devicelogs_syslogsink: Add a syslog sink
Billing Tools
bills_list: List billsbill_get: Get details for a billbill_graph: Render a bill graph as an imagebill_graph_data: Get bill graph databill_history: Get bill historybill_history_graph: Render a bill history graph as an imagebill_history_graph_data: Get bill history graph databill_create_or_update: Create or update a billbill_delete: Delete a bill
Oxidized Tools
oxidized_list: List devices tracked by Oxidized for config backupoxidized_config_get: Get the stored configuration for a specific deviceoxidized_config_search: Search all stored device configurations for a string
Network & Monitoring Tools
arp_search: Search ARP entriespoller_group_get: Get poller group(s)routing_ip_addresses: List all IP addresses from LibreNMS.services_list: List all services from LibreNMS.services_for_device: Get services for a device from LibreNMS.service_add: Add a service to LibreNMSservice_edit: Edit an existing serviceservice_delete: Delete a servicebgp_sessions: List BGP sessionsbgp_session_get: Get details for a specific BGP sessionbgp_session_edit: Edit a BGP sessionfdb_lookup: Lookup forwarding database (FDB) entriesnac_list: List network access control (802.1X / MAB) sessions across all devicesospf_list: List OSPF instancesospf_ports: List OSPF portsvrf_list: List VRFsping: Ping the LibreNMS systemhealth_list: List health sensorshealth_by_type: List health sensors by typehealth_sensor_get: Get details for a health sensorsensors_list: List sensorsswitching_vlans: List all VLANs from LibreNMS.switching_links: List all links from LibreNMS.system_info: Get system info from LibreNMS.Flexible filtering and search for all major resources (devices, ports, alerts, logs, inventory, etc.)
Pagination & Limit Support
To prevent overloading LLM contexts when querying large LibreNMS production instances, all list, search, and log tools support pagination.
Key Features
- Sensible Defaults: All list tools default to returning 100 results per page.
- Unified Parameters:
limit: The maximum number of results to return (defaults to100, minimum1).offset(orstartfor log tools): The number of results to skip.
- Pagination Metadata: Every paginated response includes metadata fields:
limit: The active limit.offset(orstart): The active offset.count: The number of items returned in the current page.total: The total number of items available (for log tools, this is provided if returned by the LibreNMS API).
Security & Safety Features
Read-Only Mode
The server supports a read-only mode that disables all write operations for safe monitoring:
READ_ONLY_MODE=true
Tag-Based Tool Filtering
You can disable specific categories of tools by setting disabled tags:
DISABLED_TAGS=alert,bills
Tool Search for Large Toolsets
FastMCP tool search can reduce prompt size for servers with many tools.
When enabled, list_tools returns two synthetic tools:
search_tools: Finds matching tools and returns their full schemascall_tool: Executes any discovered tool by name
Enable it with:
TOOL_SEARCH_ENABLED=true
TOOL_SEARCH_STRATEGY=bm25 # bm25 or regex
TOOL_SEARCH_MAX_RESULTS=5 # optional, default is 5
bm25 supports natural language queries, while regex uses a regex pattern input for deterministic matching.
Tool search respects existing visibility controls (read-only mode and disabled tags).
Rate Limiting
The server supports rate limiting to control API usage and prevent abuse. If enabled, requests are limited per client using a sliding window algorithm.
Enable rate limiting by setting the following environment variables in your .env file:
RATE_LIMIT_ENABLED=true
RATE_LIMIT_MAX_REQUESTS=100 # Maximum requests allowed per window
RATE_LIMIT_WINDOW_MINUTES=1 # Window size in minutes
If RATE_LIMIT_ENABLED is set to true, the server will apply rate limiting middleware. Adjust RATE_LIMIT_MAX_REQUESTS and RATE_LIMIT_WINDOW_MINUTES as needed for your environment.
Sentry Error Tracking & Monitoring (Optional)
The server optionally supports Sentry for error tracking, performance monitoring, and debugging. Sentry integration is completely optional and only initialized if configured.
Installation
To enable Sentry monitoring, install the optional dependency:
# Using UV (recommended)
uv sync --extra sentry
Configuration
Enable Sentry by setting the SENTRY_DSN environment variable in your .env file:
# Required: Sentry DSN for your project
SENTRY_DSN=https://your-key@o12345.ingest.us.sentry.io/6789
# Optional: Performance monitoring sample rate (0.0-1.0, default: 1.0)
SENTRY_TRACES_SAMPLE_RATE=1.0
# Optional: Include personally identifiable information (default: true)
SENTRY_SEND_DEFAULT_PII=true
# Optional: Environment name (e.g., "production", "staging")
SENTRY_ENVIRONMENT=production
# Optional: Release version (auto-detected from package if not set)
SENTRY_RELEASE=1.2.2
# Optional: Profiling - continuous profiling sample rate (0.0-1.0, default: 1.0)
SENTRY_PROFILE_SESSION_SAMPLE_RATE=1.0
# Optional: Profiling - lifecycle mode for profiling (default: "trace")
# Options: "all", "continuation", "trace"
SENTRY_PROFILE_LIFECYCLE=trace
# Optional: Enable log capture as breadcrumbs and events (default: true)
SENTRY_ENABLE_LOGS=true
Features
When enabled, Sentry automatically captures:
- Exceptions & Errors: All unhandled exceptions with full context
- Performance Metrics: Request/response times and traces
- MCP Integration: Detailed MCP server activity and interactions
- Logs & Breadcrumbs: Application logs and event trails for debugging
- Context Data: Environment, client info, and request parameters
Getting a Sentry DSN
- Create a free account at sentry.io
- Create a new Python project
- Copy your DSN from the project settings
- Set it in your
.envfile
Disabling Sentry
Sentry is completely optional. If you don't set SENTRY_DSN, the server will run normally without any Sentry integration, and no monitoring data will be collected.
SSL/TLS Configuration
The server supports SSL certificate verification and custom timeout settings:
LIBRENMS_VERIFY_SSL=true # Enable SSL certificate verification
LIBRENMS_TIMEOUT=30 # Connection timeout in seconds
Transport Configuration
The server supports multiple transport mechanisms for the MCP protocol:
STDIO Transport (Default)
The default transport uses standard input/output for communication. This is ideal for local usage and integration with tools that communicate via stdin/stdout:
MCP_TRANSPORT=stdio
HTTP SSE Transport (Server-Sent Events)
For network-based deployments, you can use HTTP with Server-Sent Events. This allows the MCP server to be accessed over HTTP with real-time streaming:
MCP_TRANSPORT=sse
MCP_HTTP_HOST=127.0.0.1 # Localhost
MCP_HTTP_PORT=8000 # Port to listen on
MCP_HTTP_BEARER_TOKEN=your-secret-token # Optional authentication token
When using SSE transport with a bearer token, clients must include the token in their requests:
curl -H "Authorization: Bearer your-secret-token" http://localhost:8000/sse
HTTP Streamable Transport
The HTTP Streamable transport provides HTTP-based communication with request/response streaming. This is ideal for web integrations and tools that need HTTP endpoints:
MCP_TRANSPORT=http
MCP_HTTP_HOST=127.0.0.1 # Localhost
MCP_HTTP_PORT=8000 # Port to listen on
MCP_HTTP_BEARER_TOKEN=your-secret-token # Optional authentication token
When using streamable transport with a bearer token:
curl -H "Authorization: Bearer your-secret-token" \
-H "Accept: application/json, text/event-stream" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' \
http://localhost:8000/mcp
Note: The HTTP transport requires proper JSON-RPC formatting with jsonrpc and id fields. The server may also require session initialization for some operations.
For more information on FastMCP transports, see the FastMCP documentation.
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