Huggingface
v0.1.0
io.github.pipeworx-io/huggingface
Hugging Face Hub MCP — models, datasets, spaces
共 23,480 个资源
v0.1.0
io.github.pipeworx-io/huggingface
Hugging Face Hub MCP — models, datasets, spaces
v0.1.0
io.clawhub.kalvinrv/ai-video-generation-runcomfy
AI video generation on RunComfy. This RunComfy video generation skill is a smart router across the RunComfy video-model catalog — HappyHorse 1.0 (Arena #1, n...
v0.1.0
io.clawhub.kalvinrv/ai-image-generation-runcomfy
AI image generation on RunComfy. This RunComfy image generation skill is a smart router across the RunComfy image-model catalog — FLUX 2 (Klein 9B/4B, Pro, D...
vmain
io.github.sickn33/antigravity-awesome-skills/mcp-tool-developer
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
v0.1.0
io.github.bch1212/agenttrust
Trust scores & reputation for the agent-to-agent economy. Verify A2A counterparties.
v0.0.1
com.ovrsea.mcp/customer-mcp
Query your OVRSEA freight: shipments, quotations, documents, tasks, and reporting analytics.
v1.0.0
me.ceki/mcp-server
Hire specialists by the hour — search, schedule, and pay via MCP protocol.
v0.1.0
io.github.bch1212/agentvault
Credential vault for AI agents — Fernet-encrypted keys, per-agent budgets, audit logs.
v0.9.5
io.github.NeoDrew/chromeflow
Lets Claude Code or Codex CLI drive your real Chrome — sessions intact, 28 browser tools.
v0.1.0
io.github.hycore220/k-work-trust
Korean business record validation and workflow safety gates for AI agents.
v0.2.2
io.github.vkuprin/site-spy
MCP server for Site Spy — lets AI agents monitor websites for changes
v1.1.0
io.github.liveplex-cpu/fiber
Optical ops MCP for AI DCs — gNMI, ML RUL, Digital Twin, NCCL, SPARQL semantic
v1.0.0
ai.moxt/mcp-workspace
Browse and manage files in your Moxt AI workspace from any MCP client.
v2.0.4
io.clawhub.yangzhe1991/tencent-finance-stock-price
Query real-time stock data using Tencent Finance API. Supports Chinese A-shares, Hong Kong, and US stocks with market cap, TTM PE, PB, volume, turnover, tota...
v0.1.1
io.github.atul0016/seo-geo-intelligence
SEO and AI-answer visibility intelligence for search, content gaps, and GEO actions.
v0.1.1
io.github.atul0016/amazon-seller-operations
Amazon account health, listing, FBA inventory, fee, PPC, review, and appeal intelligence.
v0.1.1
io.github.atul0016/customer-retention-ltv
Customer LTV, churn risk, repurchase, lifecycle email, and winback intelligence.
v0.1.1
io.github.atul0016/ad-creative-intelligence
Creative fatigue, winning-angle, competitor ad, and hook benchmark intelligence.
v0.1.1
io.github.atul0016/ecommerce-command-center
Daily ecommerce revenue, inventory, listing, shipping, and restock operations intelligence.
v0.1.1
io.github.atul0016/unified-ad-intelligence
Cross-platform ad spend, attribution, true ROAS, budget, and anomaly intelligence.
v0.3.0
io.github.pouyahasanamreji/continuum
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
vmain
io.github.jezweb/claude-skills/mcp-builder
Build MCP servers in Python with FastMCP. Define tools / resources / prompts, build the server, test locally, deploy to FastMCP Cloud or Docker. Use whenever the user mentions building an MCP server, exposing tools to LLMs, FastMCP, building a Claude integration, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.
vmain
io.github.Donchitos/Claude-Code-Game-Studios/code-review
Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.
vmain
io.github.Donchitos/Claude-Code-Game-Studios/review-all-gdds
Holistic cross-GDD consistency and game design review. Reads all system GDDs simultaneously and checks for contradictions between them, stale references, ownership conflicts, formula incompatibilities, and game design theory violations (dominant strategies, economic imbalance, cognitive overload, pillar drift). Run after all MVP GDDs are written, before architecture begins.