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Mock infrastructure for AI application testing — LLM APIs, image generation, image editing, text-to-speech, transcription, audio translation, audio generation, video generation, embeddings, MCP tools,
Why recommended
Scored from trust, install, risk, and community signals.
Real outcomes: sample pending
MCP server for Context7
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model pro
Model Context Protocol implementation for TypeScript
Run workbook-shaped business rules in Node services: edit inputs, recalculate formulas, read outputs, and save WorkPaper JSON.
MCP server + CLI for the Unified Product Graph; drop into Claude Code or use the `upg` command.
Create a runnable Bilig WorkPaper starter for Node services and tool integrations.
Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime
Open-source browser automation MCP server. Control your real Chrome from any AI agent.
A Linear MCP server for interacting with Linear's API
A Model Context Protocol server for the Linear API.
The runtime layer for Agentic AI. 108 MCP tools: persistent memory, autonomous agents, vault storage, scheduled workflows, DeFi execution on Base, deep research, and Noel Shell tool calling (estimate
