wiswa-mcp
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., "@wiswa-mcpfind settings related to color"
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.
wiswa-mcp
FastMCP server exposing Wiswa settings discovery to AI assistants such as Claude Code, Cursor, and GitHub Copilot.
Installation
pipx install wiswa-mcpRelated MCP server: 1mcpserver
Usage
wiswa-mcpThe server publishes the following MCP tools:
get_defaults— return resolved default settings, optionally narrowed to a dot-separated key path.lookup_setting— return a single setting's default value plus a ready-to-paste.wiswa.jsonnetoverride snippet.list_settings— enumerate the keys available at a given path and depth.search_settings— substring search across fully-qualified setting key paths.
Claude Code
claude mcp add wiswa-mcp -- wiswa-mcpCursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"wiswa-mcp": {
"command": "wiswa-mcp"
}
}
}GitHub Copilot CLI
Add to .github/copilot/mcp.json:
{
"mcpServers": {
"wiswa-mcp": {
"command": "wiswa-mcp"
}
}
}Available Tools
4 toolsget_defaultsA
Get resolved default settings, optionally narrowed to a dot-separated key path.
| Name | Required | Description | Default |
|---|---|---|---|
| key_path | No | Dot-separated path into the defaults tree, or ``None`` for the full document. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It correctly indicates it returns resolved defaults, but lacks behavioral details like authentication requirements or side effects. Adequate for a simple read operation.
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 a single sentence that is front-loaded with the core purpose. No extraneous words; every part is 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?
Given the single optional parameter with full schema coverage, output schema present, and sibling tools, the description is mostly complete. However, the term 'resolved' could be clarified. Still sufficient for this simple tool.
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 coverage is 100% with the key_path parameter already described. The tool description adds no new meaning beyond 'optional narrowing', so baseline score of 3 applies.
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 verb 'Get' and the resource 'resolved default settings', with the optional narrowing via dot-separated key path. This distinguishes it from siblings like list_settings or lookup_setting.
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 obtaining resolved defaults but does not explicitly state when to prefer this tool over siblings like list_settings or search_settings. No exclusions or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_settingsA
List setting keys at a given path and depth.
| Name | Required | Description | Default |
|---|---|---|---|
| key_path | No | Dot-separated path prefix, or ``None`` for the root. | |
| depth | No | How many object levels to expand. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behaviors. It only says 'list setting keys' which implies a read operation, but provides no details on safety, side effects, or output format. The description adds minimal value beyond the name.
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 a single sentence with no waste. It is efficiently structured, though it could benefit from a bit more detail on usage context.
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 simplicity of the tool and presence of an output schema, the description is minimally adequate. However, it lacks behavioral transparency and usage guidance relative to siblings, making it not fully complete.
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 coverage is 100% with descriptions for both parameters. The description mentions 'path and depth' but does not add meaning beyond what the schema already provides. Baseline 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 the verb 'list' and resource 'setting keys', with conditions 'at a given path and depth'. This distinguishes it from siblings like get_defaults or lookup_setting.
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 when you need to list setting keys by path and depth. While it doesn't explicitly state when not to use it or mention alternatives, the context is clear given the sibling names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup_settingA
Look up a setting by dot-separated key path and get its default value plus override snippet.
| Name | Required | Description | Default |
|---|---|---|---|
| key_path | Yes | Dot-separated path to the setting. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool returns 'default value plus override snippet', which is helpful. However, with no annotations, it does not address error behavior (e.g., missing key), side effects, or permissions. The safety profile is implied as a read operation but not explicitly stated.
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 a single, clear sentence with no unnecessary words. It efficiently conveys the core functionality.
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's simplicity (one parameter, output schema exists), the description adequately covers the return values. It does not specify error handling or edge cases, but for a straightforward lookup, it is largely complete.
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 coverage is 100% with 'key_path' described. The description repeats 'dot-separated key path' without adding new meaning. Since coverage is high, baseline score of 3 applies.
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's purpose: to look up a setting by dot-separated key path and return its default value and override snippet. It distinguishes this from sibling tools (get_defaults, list_settings, search_settings) by specifying exact path lookup.
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 when the exact key path is known, but does not explicitly state when to use this tool over siblings like get_defaults or search_settings. No when-not or alternative guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_settingsA
Search for settings by substring match on their fully-qualified key path.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Substring matched against fully-qualified key paths. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description carries full burden. It transparently discloses substring matching on fully-qualified key paths, which is the core behavior. No mention of performance or edge cases, but sufficient for basic understanding.
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?
A single, well-structured sentence that immediately conveys the tool's purpose. No superfluous information.
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 presence of an output schema and simple input (one parameter), the description is sufficiently complete. It could mention behavior on no matches, but the core functionality is clear.
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 coverage is 100% and the parameter description is already clear. The description reinforces the substring matching concept but adds minimal new meaning 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 searches for settings using substring matching on fully-qualified key paths. This distinguishes it from siblings like list_settings (likely listing all) and lookup_setting (retrieving a specific one).
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 finding settings by substring, but does not explicitly state when to use this versus siblings, nor does it provide exclusions or alternatives. The guidance is adequate but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Each tool has a clearly distinct purpose: getting resolved defaults, listing keys, looking up a specific setting, and searching by substring. No overlap in functionality.
All tools follow a consistent verb_noun pattern in snake_case (get_defaults, list_settings, lookup_setting, search_settings), making them predictable and easy to remember.
With 4 tools, the server is well-scoped for a settings management utility. Each tool covers a distinct operation without unnecessary bloat or deficiency.
The tool set covers the core operations for inspecting settings: retrieving defaults, exploring the key hierarchy, looking up specific keys, and searching. No obvious gaps for a read-only configuration server.
Maintenance
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