mcp-mdns
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-mdnsList all HTTP services on my network"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-mdns — MCP server for mDNS service discovery
MCP server that exposes mDNS (Multicast DNS) service discovery functionality via the Model Context Protocol. Enables LLMs to discover and query zero-configuration network services on the local network.
mcp-name: io.github.daedalus/mcp-mdns
Install
pip install mcp-mdnsRelated MCP server: @lex-tools/codebase-context-dumper
Usage
# Run the MCP server
mcp-mdnsOr run directly with Python:
python -m mcp_mdnsMCP Server Configuration
Configure your MCP client with:
{
"mcpServers": {
"mdns": {
"command": "mcp-mdns",
"env": {}
}
}
}Available Tools
mdns_list_service_types— List all service types advertised on the local networkmdns_browse_services— Browse for services of a specific type (e.g., _http._tcp, _printer._tcp)mdns_get_service_info— Get detailed information about a specific service (host, port, TXT records)mdns_resolve_hostname— Resolve a .local hostname to IP addressesmdns_register_service— Register a new service on the local networkmdns_unregister_service— Unregister a previously registered service
Development
git clone https://github.com/daedalus/mcp-mdns.git
cd mcp-mdns
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint
ruff check src/ tests/
# type check
mypy src/License
MIT
Available Tools
6 toolsmdns_browse_servicesARead-onlyIdempotent
Browse for services of a specific type on the local network.
This tool searches for all services matching a given type (e.g., _http._tcp, _printer._tcp). It returns the names of all discovered services that can be used with mdns_get_service_info to retrieve detailed information.
Args: params (BrowseServicesInput): Validated input parameters containing: - service_type (str): Service type to search for (e.g., '_http._tcp') - timeout (Optional[float]): Query timeout in seconds (default: 5.0) - response_format (ResponseFormat): Output format preference
Returns: str: List of discovered services or error message
Example: >>> mdns_browse_services(BrowseServicesInput(service_type="_http._tcp", timeout=5.0)) "# Services of Type: _http._tcp\n\nFound 1 service(s):\n\n- My Server._http._tcp.local."
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds that it returns a list of discovered services and provides an example output, but does not elaborate on network dependencies or variability beyond the openWorldHint.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-organized with sections (intro, Args, Returns, Example), but the first two sentences are redundant, and the Args section largely duplicates the schema, making it slightly longer than necessary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the tool's purpose, parameters, return value (with example), and relationship to a sibling tool. It does not discuss error conditions or network prerequisites, but for a browse tool this is adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already contains detailed descriptions for all parameters (service_type, timeout, response_format), so the description's 'Args' section adds minimal new information beyond restating the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('browse') and resource ('services of a specific type') and differentiates from sibling tools by mentioning that the results can be used with mdns_get_service_info for details, distinguishing it from related tools like mdns_list_service_types.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly states when to use the tool (to browse for services of a given type) and implies that mdns_get_service_info is for detailed info, but does not explicitly exclude other use cases or provide guidance on when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mdns_get_service_infoARead-onlyIdempotent
Get detailed information about a specific mDNS service.
This tool retrieves complete information about a discovered service including:
Hostname and IP addresses
Port number
TXT records (metadata)
Service type and name
Args: params (ServiceInfoInput): Validated input parameters containing: - service_type (str): Service type (e.g., '_http._tcp.local.') - service_name (str): Full service name from browse results - timeout (Optional[float]): Query timeout in seconds (default: 10.0) - response_format (ResponseFormat): Output format preference
Returns: str: Detailed service information or error message
Example: >>> mdns_get_service_info(ServiceInfoInput(service_type="_http._tcp", service_name="My Server._http._tcp.local.")) "# Service: My Server._http._tcp.local.\n\nType: _http._tcp.local.\nServer: myserver.local\nPort: 8080\nAddresses: 192.168.1.100"
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint, idempotentHint, destructiveHint=false. Description adds context that it retrieves 'complete information' with specific fields. No contradictions. Could mention network/timeout behavior but annotations cover safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is well-structured with purpose first, then details, then args, then example. Slightly verbose with full Args section and example, but every part adds value. Could be trimmed but still good.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool, description covers input parameters, return value (string with markdown example), and usage example. Annotations provide safety profile. Output schema not in input but described in text. Fairly complete given tool complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema provides full descriptions for all parameters (service_type, service_name, timeout, response_format). Description includes a clear 'Args' section that restates and slightly augments (e.g., default timeout 10.0). Adds value by summarizing parameter purpose beyond schema, even though schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Get detailed information about a specific mDNS service' and lists specific data items (hostname, IP, port, TXT records). Distinguishes from sibling tools like mdns_browse_services (listing) and mdns_register_service (write operation).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description implies use after browsing (service name from browse results) but does not explicitly state when to use vs alternatives or when not to. No exclusions or alternative tool mentions. Usage context is implied but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mdns_list_service_typesARead-onlyIdempotent
List all service types advertised on the local network via mDNS.
This tool queries the local network for all advertised mDNS service types. Common service types include _http._tcp (web servers), _printer._tcp (printers), _airplay._tcp (Apple TV), _smb._tcp (SMB shares), and many others.
Args: params (ServiceTypeInput): Validated input parameters containing: - timeout (Optional[float]): Query timeout in seconds (default: 5.0) - response_format (ResponseFormat): Output format preference
Returns: str: Formatted list of discovered service types or error message
Example: >>> mdns_list_service_types(ServiceTypeInput(timeout=5.0, response_format=ResponseFormat.MARKDOWN)) "# mDNS Service Types\n\nFound 3 service type(s):\n\n- _http._tcp\n- _printer._tcp\n- _airplay._tcp"
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint, idempotentHint, openWorldHint, and destructiveHint false. The description adds that it queries the local network and uses a timeout, with no contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear verb and resource first, followed by details. The example is helpful but adds length; still concise enough.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the annotations (read-only, idempotent) and presence of an output schema, the description is complete: it explains what the tool does, its parameters, and provides an example output, making it fully actionable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description explains both parameters (timeout and response_format) including defaults and example usage. Although the input schema also has descriptions, the description adds value by clarifying defaults and the example output.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists all service types advertised via mDNS, and the example with common types distinguishes it from sibling tools like mdns_browse_services or mdns_get_service_info.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates when to use (to list mDNS service types) and implies context (local network), but does not explicitly state when not to use or suggest alternatives, though sibling names provide that context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mdns_register_serviceA
Register a new service on the local network via mDNS.
This tool registers a service so other devices on the network can discover it. The service will be advertised with the specified type, port, and optional TXT records.
Args: params (RegisterServiceInput): Validated input parameters containing: - name (str): Service name (e.g., 'My Web Server') - service_type (str): Service type (e.g., '_http._tcp') - port (int): Port number - host (Optional[str]): Host IP (auto-detected if not provided) - text_records (Optional[Dict[str, str]]): TXT record key-value pairs
Returns: str: Registration result or error message
Example: >>> mdns_register_service(RegisterServiceInput(name="MyServer", service_type="_http._tcp", port=8080)) "Successfully registered service: MyServer._http._tcp.local. on port 8080"
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=false and destructiveHint=false. The description adds that the service will be advertised and host auto-detection is attempted. It does not contradict annotations and adds useful behavioral context beyond them.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear purpose sentence, an Args section, returns note, and example. It is front-loaded and reasonably concise, though the Args section could be trimmed without losing value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has a nested parameter object and output schema exists, the description covers registration parameters, return value, and includes an example. It lacks error conditions or network constraints, but is fairly complete for the complexity level.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides descriptions for all parameters (name, service_type, port, host, text_records). The description repeats these in an Args section but adds minimal new meaning beyond summarizing them. With high schema coverage, baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Register a new service on the local network via mDNS' and 'registers a service so other devices on the network can discover it'. The verb 'register' is specific and distinct from sibling tools like mdns_browse_services, mdns_unregister_service, etc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for registering mDNS services but does not explicitly state when to use versus alternatives, prerequisites like network permissions, or when not to use. No direct alternative mentions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mdns_resolve_hostnameARead-onlyIdempotent
Resolve an mDNS hostname (.local) to IP addresses.
This tool resolves a local network hostname (ending in .local) to its IP address(es). This is useful for finding the IP address of devices that don't have static IPs but have registered with mDNS/Bonjour.
Args: params (ResolveHostnameInput): Validated input parameters containing: - hostname (str): Hostname to resolve (e.g., 'mydevice.local') - timeout (Optional[float]): Query timeout in seconds (default: 5.0) - response_format (ResponseFormat): Output format preference
Returns: str: Resolved IP addresses or error message
Example: >>> mdns_resolve_hostname(ResolveHostnameInput(hostname="raspberrypi.local", timeout=5.0)) "# Resolution: raspberrypi.local\n\nIP Address: 192.168.1.50"
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, etc. The description adds behavioral context such as .local suffix requirement and default timeout, which is consistent with annotations. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, well-structured with Args, Returns, and Example sections. Every sentence is necessary and adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one required parameter, the description covers all necessary aspects: purpose, parameters, return format, and an example. The output schema is implied and sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides descriptions for all parameters, so schema description coverage is high. The description adds value with examples and default values, enhancing understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool resolves .local hostnames to IP addresses, specifying the exact resource and action. It distinguishes from sibling tools that handle service browsing or registration, as this is solely for hostname resolution.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains it is useful for finding IPs of mDNS-registered devices without static IPs, but does not explicitly state when not to use it or mention alternatives. The context from sibling tools partially covers this.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mdns_unregister_serviceADestructiveIdempotent
Unregister a previously registered mDNS service.
This tool removes a service from the local network, stopping its advertisement.
Args: params (UnregisterServiceInput): Validated input parameters containing: - service_name (str): Service name to unregister
Returns: str: Unregistration result or error message
Example: >>> mdns_unregister_service(UnregisterServiceInput(service_name="MyServer._http._tcp.local.")) "Successfully unregistered service: MyServer._http._tcp.local."
| Name | Required | Description | Default |
|---|---|---|---|
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds context that the tool removes and stops advertisement, aligning with the destructiveHint annotation. However, it does not elaborate on potential side effects, error conditions, or permission requirements beyond what annotations already convey.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with sections for purpose, arguments, returns, and an example. It is concise, though the Args section repeats information already present in the input schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter, the description covers purpose, usage, parameter details, return value, and provides an example. It is contextually complete given the tool's low complexity and the presence of annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With schema description coverage at 0%, the description compensates by explicitly listing the parameter (service_name) with type and a clear example. This adds meaningful semantic value beyond the schema's minimal description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'unregister' and identifies the resource as 'mDNS service', clearly distinguishing it from sibling tools like mdns_register_service (opposite) and mdns_browse_services (browsing). It explains the effect of removing the service and stopping its advertisement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for removing previously registered services, which is a clear context. However, it does not explicitly state when not to use the tool or provide alternatives, but the sibling tool names are available for context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
6 tool updates
v0.1.2- First observed
mdns_browse_services - First observed
mdns_get_service_info - First observed
mdns_list_service_types - First observed
mdns_register_service - First observed
mdns_resolve_hostname - First observed
mdns_unregister_service
TDQS
Each tool has a distinct purpose: browsing services, getting service info, listing service types, registering, unregistering, and resolving hostnames. No two tools overlap in functionality.
All tools follow the consistent pattern 'mdns_verb_noun' (e.g., mdns_browse_services, mdns_register_service). The naming is perfectly uniform and predictable.
With 6 tools, the server covers the core mDNS operations without being too few or too many. Each tool earns its place for a focused networking utility.
The tool set covers browsing, querying, registration, and hostname resolution. Missing an update tool for registered services, but this is a minor gap; core workflows are well-supported.
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