#tokens
13 件の結果が見つかりました
Figma MCP Server
experimental gen ai mcp server to generate figma tokens
Design Tokens - MCP Server
Um server MCP para o figma. Cria imagens também.
Tokenbel Financial Data
Read-only MCP server providing access to Belarusian securities data: tokens, shares, bonds, companies, ticker search, and company name or UNP search.
Bigbugai
MCP server exposing BigBugAI tools for trending tokens and token analysis.
Swap Api
Free token swaps for AI agents. No API keys. Returns executable transaction calldata for 40+ EVM chains.
Anvx Token Economy Intel
Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv
flatten-mcp
An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.
//beforeyouship — LLM Cost Modeling From Your Editor
Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ``` **Cursor / other clients** — add a remote server: ```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day