$ loading_
Compare design tokens across sources and inspect conflict details and past runs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "token-reconciler-mcp" yet — see the docs or source repo.
Compare design tokens from Web, iOS, and Android sources. List items with mismatched names or values and rank them by conflict severity.
A comparison report showing token differences across sources, with key conflicts highlighted.
Retrieve previous design token reconciliation runs and summarize the conflict types that repeatedly appeared in recent runs.
A summary of prior reconciliation runs that helps identify recurring issues.
For this conflicting token, provide a per-conflict breakdown and explain how confidence factors and alias chains affect the judgment.
A detailed conflict analysis including the key factors behind the reconciliation result.
Designers and frontend developers can use it to compare tokens maintained across multiple platforms or repositories and locate mismatches. This helps reveal cross-platform inconsistencies faster.
When maintaining design tokens over time, teams can retrieve past reconciliation runs to see which conflicts have appeared before. This helps determine whether an issue is new or longstanding.
When a token conflict is hard to assess, teams can inspect the per-conflict breakdown, confidence factors, and alias chains. This provides clearer reasoning behind the conflict and its source.
It enables AI agents to compare design tokens from multiple sources and retrieve prior reconciliation runs. It also provides per-conflict breakdowns with confidence factors and alias chains.
Based on the provided description, it handles design-token reconciliation data, including multi-source comparisons, prior runs, and conflict details. For exact input formats, see the source repository.
The provided materials do not specify installation steps, runtime requirements, or whether any keys are needed. See the source repository for prerequisites.
Lets AI access design tokens and component contracts via MCP consistently.
Compare AI model pricing, simulate costs, and get plan recommendations.
Get consistent design style recommendations and structured visual tokens for AI generation.
Track AI agent token usage and costs with alerts and task breakdowns.
Local-first MCP tool for shared agent memory sync and focus conflict warnings.
Cut AI API costs dramatically with token measurement, compression, caching, and pruning.