Explore Agents

An MCP Server that enables AI assistants to interact with your local browsers

A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products

An MCP to give access to all Netskope Private Access components within a Netskope Private Access environments including detailed setup information and LLM examples on usage

🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state

A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions

An MCP server that enables AI models to search, retrieve, and solve LeetCode problems. Supports metadata filtering, user profiles, submissions, and contest data access

Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept

An MCP server (and command-line tool) to provide a dynamic map of chat-related files from the repository with their function prototypes and related files in order of relevance. Based on the "Repo Map" functionality in Aider.chat

A zero-cost MCP server that forces AI to self-correct generation messages using prompt injection, independent self-audition and context isolation

AI-to-AI messaging via I-Poll protocol and AInternet. Enables agents to communicate using .aint domains, semantic messaging, and trust-based routing

MCP server implementation for ChatterBox.io, enabling AI agents to send bots to online meetings (Zoom, Google Meet) and obtain transcripts and recordings

Generate [mermaid](https://mermaid.js.org/) diagram and chart with AI MCP dynamically

Generate visual charts using [Apache ECharts](https://echarts.apache.org) with AI MCP dynamically

A Qdrant MCP server

A mcp server that bridges Dune Analytics data to AI agents

JMeter MCP Server for performance testing

Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores, helping AI assistants understand the codebase

Analyze React code locally, generate docs / llm.txt for whole project at once

Use natural language to explore LLM observability, traces, and monitoring data captured by Opik

Enable AI assistants to interact with your feature flags in [Flipt](https://flipt.io)