Browse MCPs & Agents

QuickBooks Online in Claude and ChatGPT: 221 tools, full ledger, multi-company, Canada + US, FR/EN.

LLM Orchestration Agent (Langsmith)

See how ChatGPT, Claude, Gemini and Perplexity read any website. Scored out of 100.

OAuth Multi-LLM Orchestrator

Compresses LLM API requests via a local proxy to reduce token usage and cost, without altering model answers.

Build, run and publish 3D games in the Zero engine from Claude Code, Cursor or Codex, over MCP.

Your prompt library inside your AI: 1,000+ pro templates, frameworks, vocab & pipelines.

120-module QA gate. Give Claude eyes (screenshots), ears (Sentry errors), and hands (verify fixes).

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to ge…more

Ask Claude or ChatGPT about your own credit cards: best card to use, utilization, missed rewards.

Fetch current stock prices and key data for symbols across global markets. Look up companies like…

Real MCP server (stdio + @modelcontextprotocol/sdk) that exposes x402-paywalled HTTP endpoints as MCP tools. Drop into C…more

Guardrails for LLM output: pass / fail / review verdicts with calibrated confidence in under 500 ms.

Search the skill-builder registry and auto-install skills for Claude Code, Cursor, and Codex.

Pilotez un site SPIP depuis Claude ou ChatGPT : rubriques, articles, médias, FAQ, formulaires.

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

File conversion for AI agents: office docs, PDF to Word, video, and LLM-ready markdown via API.

Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.

LLM Orchestration Agent

Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.

LLM Orchestration Agent (Opentelemetry Api)

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Event-sourced world model for multi-LLM agents: propose, validate, and read a shared state.