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1,508 repos for cursor · Claude CodeClear

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

5.9k

AI film director skills for agents: cinematic dramaturgy (Murch, blocking, montage) + exact prompt syntax for Seedance 2.5, Kling 3.0 Turbo/Omni, Veo 3.1, Nano Banana 2, GPT Image 2.5.

337
damionrashford/
RivalSearchMCP

Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.

129
indranilbanerjee/
socialforge

An open-source social media production system that turns a content calendar into on-brand copy, images, video, and client-ready delivery - with compliance and human approval built in.

38
sparfenyuk/
mcp-proxy

A bridge between Streamable HTTP and stdio MCP transports

2.7k
LarsCowe/
bmalph

Unified AI Development Framework - BMAD phases with Ralph execution loop

406
sdiehl/
sympy-mcp

A MCP server for symbolic manipulation of mathematical expressions

85
turbot/
steampipe-mcp

Enable AI assistants to explore and query your Steampipe data!

46
activeing123/
mcptoon

MCP tool lists eat 71,929 tokens at 255 tools — more than half a 128K window before you ask anything. mcptoon reads the same tools back at 581 (-99.2%, measured). 128KB CLI, zero deps. Compute your own: activeing123.github.io/mcptoon/tools/token-tax

195

An open-source code repository and version control system for people and AI agents. Functions, types, recorded relationships and change history are repository data you commit, branch and merge. Look up what a change might affect before you make it. Public alpha.

52
travis-rosser/
cofounder

Cofounder is a project harness that turns your AI coding agent into a technical cofounder.

1
1 add

The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.

1.3k