creatordb-mcp-server
MCP server exposing the CreatorDB V3 API to Claude Code / Claude Desktop / Cursor
Install / Use
claude mcp add CreatorDB -- npx -y github:CreatorDB/creatordb-mcp-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Skill content
View source on GitHub{ "name": "@creatordbai/mcp-server", "version": "1.6.2", "description": "MCP server for CreatorDB V3 API \u2014 search and analyze creators across YouTube, Instagram, and TikTok", "type": "module", "main": "dist/index.js", "exports": { ".": "./dist/index.js", "./register-tools": "./dist/register-tools.js" }, "bin": { "creatordb-mcp-server": "dist/index.js" }, "scripts": { "build": "tsc", "start": "node dist/index.js", "dev": "tsc --watch", "prepare": "npm run build", "prepublishOnly": "npm run build", "test": "npm run build && node --test dist//*.test.js" }, "files": [ "dist", "!dist//.test.js", "!dist/**/.test.d.ts", "!dist/**/*.test.js.map", "README.md", "LICENSE" ], "keywords": [ "mcp", "model-context-protocol", "creatordb", "influencer", "creator", "youtube", "instagram", "tiktok", "claude" ], "license": "MIT", "author": "CreatorDB", "homepage": "https://github.com/CreatorDB/creatordb-mcp-server#readme", "repository": { "type": "git", "url": "git+https://github.com/CreatorDB/creatordb-mcp-server.git" }, "bugs": { "url": "https://github.com/CreatorDB/creatordb-mcp-server/issues" }, "publishConfig": { "access": "public" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.12.1", "zod": "^3.24.4" }, "devDependencies": { "typescript": "^5.7.3", "@types/node": "^22.15.3" }, "engines": { "node": ">=22" } }
Related Skills
Agent-Reach
78.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
71.1k🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
headroom
69.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
46.8kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
Security Score
Audited on Invalid Date
