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Generate multilingual code identifier names from domain concepts.
This MCP tool has a narrow stated purpose and requires no credentials, with network access only to its declared var.gg endpoint; no clear high-risk red flags are evident. However, the source code and license are not public and the README is absent, so auditability is limited and it should be used with least-privilege controls.
The materials indicate no required keys or environment variables. No API tokens, account credentials, or local secret injection requirements are shown, so credential exposure risk appears low.
The tool has network access and connects to its declared endpoint, var.gg; as with typical MCP tools, this may send user queries to that service. There is no evidence of exfiltration to unrelated or unknown domains, but the scope and content of outbound data are not fully disclosed.
System checks indicate it executes code or starts a local process, which is a normal MCP tool characteristic. The materials do not describe available system capabilities, subprocess scope, or sandboxing, so it should be run with least privilege.
The description only indicates a multilingual naming dictionary capability and does not claim broad local file read/write or extra resource access. However, as an MCP tool, its actual data reach depends on host-granted permissions, and the materials provide no detail.
Its presence in an official registry and updates within the last year are positive signals. However, there is no public source repository, no stated license, and no README, which limits external auditability; public community adoption also appears limited, so supply-chain transparency should be treated with caution.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "var.gg Naming Memory" MCP server from askskill: Run: claude mcp add --transport http 'gg-var-naming-memory' 'https://var.gg/mcp'
Given the domain concept “user favorites,” suggest variable, function, and API names for frontend and backend, with KO/JA/ZH/VI/EN semantic references.
A list of candidate identifiers with meaning notes.
Create a consistent code naming scheme for “order cancellation reason,” organized by English, Chinese, Japanese, Korean, and Vietnamese semantics.
Standardized names, aliases, and recommended usage.
Name code by domain meaning to improve clarity and team alignment.
Give AI coding assistants persistent local memory with search and knowledge linking.
Generate creative domain names and check availability across multiple TLDs.
Query and understand large codebases with a fast knowledge graph for AI agents.
Look up exact reference codes for countries, currencies, HTTP statuses, and MIME types.
Provides local persistent memory for coding agents with low-cost context retrieval.