Manage knowledge as apps | CLI | MCP | AI Knowledge Framework for AI Agents & Humans

**Run GPU workloads, deploy AI models, access inference APIs, and execute AI agents using Badgr's MCP server.** Badgr is an AI compute and workload execution platform for developers, coding agents, and AI assistants. Run workloads on cloud GPUs or compatible customer-owned GPUs (BYO GPU), with cost controls, execution logs, and verified results. **What can Badgr do?** - **GPU Compute / AI Workloads:** Run Python scripts, machine learning jobs, batch inference, and supported ComfyUI workflows. - **AI Model Deployment:** Deploy and serve LLMs using compatible runtimes such as vLLM and SGLang. Get a verified, OpenAI-compatible inference endpoint. - **AI API / LLM Inference:** Make AI API requests with response validation, supported fallback routing, and bounded execution. - **AI Agent Execution:** Launch coding and testing agents, run tasks, check acceptance criteria, and retrieve execution receipts. **Key features:** Cloud GPU execution, BYO GPU support, model serving, AI agent jobs, workload verification, execution logs, cost limits, and deployment management. Connect Badgr to your MCP-compatible AI assistant to execute real workloads instead of just generating instructions. Get started: https://aibadgr.com **Requires a Badgr API key. GPU workloads and other paid execution may incur usage charges.**

High-stakes engineering project execution for AI agents — MCP server

An MCP server for planning, execution and validation: Structured reasoning (think_*) + execution tracking (ship_*) + roadmap + signals for AI coding agents. Rust · stdio + Streamable HTTP · git-native, Agent-Trace-compatible traces.

MCP server for Okta with agentic API discovery and guided code execution

Pre-execution governance for AI agents. Intercepts MCP tool calls before execution with deterministic blocking, human-in-the-loop holds, and behavioral drift detection.

Unified MCP server for AI agents: reasoning (think_*), execution (ship_*), roadmap + signals — one binary, four tool families.

Non-custodial, policy-checked execution engine for Hyperliquid (CLI + MCP for AI agents)

AgentFabric is an agent-native x402 execution fabric for Cronos that lets AI agents safely execute paid APIs and on-chain workflows using scoped session keys — enabling autonomous execution without exposing private keys.

A local-first video intelligence layer for AI agents with CLI, MCP, and standalone Windows executable

Pre-execution governance for AI agents. Sub-millisecond tool call validation, drift detection, circuit breakers, human-in-the-loop holds. 829 tests. 56 MCP tools.

🎛️ Run commands, AI agents, and workflows across your Windows, Linux, and macOS machines. Peer-to-peer execution and file transfers with CLI, MCP, and HTTP API access.

MCP server for Venum, the Solana execution layer for coding agents and trading agents. Exposes prices, pools, quotes, swap build/sign/submit, and tx status via stable tools. Works with the Venum CLI and Venum Skills.

MCP server that gives AI agents unrestricted root SSH access to unlimited Linux servers. Execute any command, deploy files, configure Cloudflare DNS, and self-heal deployments until production is live.

Run code in isolated cloud containers. ConTree gives AI agents secure sandboxed execution environments with full root access, network, and persistent images.

Secure Node.js execution sandbox for AI. Allows coding agents & LLMs to dynamically run JavaScript, install NPM packages, and retrieve results, facilitating code generation, testing, and interactive assistance. MCP-compatible.

🧠🤖 MCP-compliant AI agent server in TypeScript 🚀 — Extend Claude & others with 🐙 GitHub Repos, Issues, Pull Requests & Actions superpowers! Ready-to-use executables available for macOS & Windows

High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.

🧠🤖 MCP-compliant AI agent server in TypeScript 🚀 — Extend Claude & others with 📊 Google Drive, Sheets, Docs superpowers! Pre-built executables available for easy installation

🧠🤖 MCP-compliant AI agent server in TypeScript 🚀 — Extend Claude & others with 🗂️ full local File System superpowers: read, write, browse, and manage files/folders across macOS, Windows & Linux! Pre-built executables available for easy setup

Eval-driven SQL reliability for AI agents — generate, validate, safely execute, and regression-test LLM SQL. MCP + FastAPI gateways, execution-truth evals, CI regression gate.

Zero-token execution layer for AI agents — define workflows once, execute forever. DAG engine with reasoning nodes, event sourcing, scheduling, and secret vault via 6 MCP tools over SSE.

A Model Context Protocol (MCP) server for enhanced shell command execution — RTK token minimization, persistent caching, execution logging, and safe file writes for AI coding agents

Multitenant backend that lets agents discover and execute against any HTTP API. MCP-native — exposes search and execute tools via the Model Context Protocol. Connectors for GitHub, Jenkins, GitLab, Jira, Kubernetes, Linear, and Slack, plus user-supplied OpenAPI/bare-URL connections.

Code Box is a self-hosted, open-source Model Context Protocol (MCP) server that provides AI agents with a secure, stateful environment to execute Python and JavaScript code. It acts as a direct, zero-cost replacement for Azure Assistants Code Interpreter by persisting variables across calls, and safely executing read-only SQL querys

Turn your ChatGPT conversations into safe, auditable local execution. PatchWarden lets you discuss ideas and plans with ChatGPT, then hand the approved plan to local AI agents for guarded, traceable implementation—with scoped permissions, independent verification, and a complete execution record.Turn your ChatGPT conversations into safe, auditable

Execution sandbox for AI agents

Enterprise-grade MCP server for dynamic Agent Skills execution and management.

Privileged command execution for autonomous AI coding agents with arm/disarm windows and OS destabilization guardrails

Execution layer for trading agents on Hyperliquid — risk limits enforced outside the model.

Durable execution and named concurrency queues for coding agents

MCP server with AI agent-powered tools built on FlowMCP schemas — supports OpenRouter LLM routing and dynamic tool execution.

Stateful AI Agent Infrastructure with Persistent FTS5 Memory and Sandboxed Execution.

Executable agent memory reference implementation and research workbench

Executed-evidence verification gate for AI coding agents

Multi-step workflow orchestration for AI agents — define, execute, pause, resume complex pipelines

Local native execution sandbox for AI agents - run JS snippets against real macOS APIs via MCP

GenPark Claw for Shopping: High-precision execution for the Agent Economy (Clawdbot-Native).

MCP server for FunctionFly — execute functions, search registries, manage agents, vaults, and stateful workflows from any MCP client

MCP-compatible sandboxed execution layer for AI agents with tamper-evident audit receipts

AI agent for web automation and scraping, designed to plan, execute, and verify actions across any website

CodeMCP is a workspace-aware execution, context, and agent orchestration server for AI clients.

MCP server for Venum, the Solana execution layer for coding agents and trading agents. Designed to work with Venum Skills.

Workflow execution for agent runs — hand a task doc to cursor, persist the run, inspect / cancel. MCP server.

Execution layer for trading agents on Hyperliquid: risk limits enforced outside the model

Agent work contracts and verifiable execution protocol — Ed25519-signed, offline-verifiable proof-carrying work for AI agents.

An MCP server that open automation engine for AI agents. Control live browsers and desktop apps locally with instant execution

Stateful, structured, safe command execution for AI agents - over local shells, SSH, and Docker.

A secure MCP server enabling AI agents to execute terminal commands with strict allowlist controls.

Coding-agent orchestration and MCP context runtime with governed repository execution, bounded tool results, and multi-agent session management.

MCP server that gates vault credentials behind Chat approval and executes commands with secrets injected locally, so the AI agent never sees the credential.

Remote approvals, policy checks, and execution evidence for unattended AI agents.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

Run AI agents on one server. Execute tools across every machine you own.

MCP server for GraphQL — schema introspection, auto-generated tools, query/mutation execution for Claude, Cursor, and AI agents

this is a collection of tools that allows your agent to execute commands on your remote servers

AgenticAV is a playground for converting SOP into automated workflows using MCPs and orchestration using agents running IPAV formatted recipes to execute the flows.

MCP server for safe shell access. Every command validated against per-agent permission rules before execution. Powered by AgentsID.

An open-source Model Context Protocol (MCP) server that enables AI agents to read, inspect, and execute Bruno API collections.

Lightweight remote execution harness for AI agents: scoped tools, approvals, and a URL whitelist over CLI, MCP, or HTTP