MCP Server for executing methods, compiling classes and executing unit test in InterSystems IRIS

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

Enterprise Executive Briefing & Strategic Memo Deliverable Synthesizer (inspired by Tencent WorkBuddy Goal-to-Document Workflows). Transforms raw multi-source enterprise findings into comprehensive, structured executive briefings with auto-generated executive summaries, risk registers, decision matrices, and appendix citations.

Exact Uniswap v3 Q64.96 tick math, MEV sandwich risk simulation, flashloan arbitrage profit modeling, and Base blob gas estimation.

**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.**

A simplified and elegant MCP server for persistent shell execution via tmux.

MCP (Model Context Protocol) server for secure SSH remote command execution. Enables AI assistants like Claude, Cursor, and VS Code to execute commands on remote servers via SSH with command validation, history tracking, and web-based configuration UI.

Complete Docker environment integrating OpenWebUI, Jupyter Notebook with Manim, and MCP server for AI-powered code execution and mathematical visualizations

Zambo MCP server: AI tools on one endpoint for crypto, audits, research. Every call returns a verifiable execution receipt (AER-1, IETF Internet-Draft draft-zambo-aer1-26). Free: 20 calls + 1 wrap-up free every day; picking up in another AI is always free

Ephemora Cell — The execution layer for untrusted AI-generated code. Fast, capability-based WASM execution with explicit CPU, memory, time, I/O, and filesystem limits.

MCP server for executing Python code (no AgentScope dependency)

MCP Server for SSH connections and remote command execution

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

MCP server for executing Python code with advanced monitoring and safety features

Read-only MCP server over JDBC: schema metadata, SELECT execution, execution plans, statistics and index analysis for PostgreSQL, Oracle, SQL Server, Firebird, SQLite and generic JDBC. Java 21, stdio.

An MCP server that provides a secure isolated environment for executing Python code.

MCP server for secure, sandboxed code execution using Nix Flakes and Bubblewrap

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

Go MCP server for controlled SSH command execution and SFTP file operations on configured hosts.

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.

Universal code + logic calculator for AI models: execute 31 languages, evaluate logic, analyze complexity. Exposed via MCP.

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

MCP server that orchestrates code execution in a sandboxed Deno environment with access to all MCP servers

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

A production-ready MCP (Model Context Protocol) server that provides shell command execution and system operations capabilities.

A read-only Model Context Protocol (MCP) server for ClickHouse: metadata discovery, parameterized queries, and execution plan analysis.

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

SSH/SFTP MCP Server - Execute remote commands and transfer files via SSH for Claude AI

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

Turn Claude Code into a plan-execute-validate loop with parallel work, intelligent retry, and memory

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

MCP server for DRC (Deterministic Replay Compute) — trace, analyze, search, diff, bisect, replay, and verify captured executions

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

MCP Server for mendicant_bias orchestration intelligence - V2 with Resources protocol, code execution, and Mnemosyne knowledge persistence

MiFID II Article 17 algorithmic trading + RTS 6 testing/risk controls + best execution AI compliance for investment firms.

🛠️ Build a lightweight C++ debugger with MCP integration for execution control, memory inspection, and advanced analysis without relying on existing frameworks.

Remote execution node that speaks MCP. One static binary; dials out from behind NAT, no inbound ports, no SSH.

Approval-first MCP terminal control: inspect risk, permissions and limits before bounded execution, then keep signed receipts.

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.

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.

MCP360 Unified Gateway - Access all MCP servers through a single unified interface with search and execute capabilities

Read-only-by-default MCP server for one or many SQL Servers: schema discovery, SELECT-only queries, execution-plan analysis, opt-in writes.

SwarmTask: Parallel shell command execution via MCP protocol. Submit multiple tasks, get real-time progress. Perfect for system admin & development workflows.

ADHD executive function enforcement for Claude Desktop. An MCP server with task locking, drift detection, and stateful boundaries to stop context switching.

A secure Model Context Protocol (MCP) server for executing commands in Windows Subsystem for Linux (WSL) with built-in safety features and validation

🤖 Enable AI code generation using the Code Execution MCP Server, integrating large language models with the Model Context Protocol for seamless tool use.

Auren | The AI execution layer between thinking and doing. Run multi-service workflows across Gmail, Calendar, and GitHub simultaneously using a single text command and one approval.

🎛️ 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-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

A MCP Debugger Server for Windows executables (x86 and x64). Exposes debugger functionality as MCP Tools for static / dynamic analysis of the debuggee and memory inspection through a clean interface.

Deterministic verification gateway for MCP — risk-gated Python execution in a restricted environment, math/logic/code/SQL verification engines, and skill supply-chain provenance guard

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.

MCP server enabling AI assistants to securely execute SSH commands, transfer files via SFTP, manage port forwarding, and use parameterized command templates with comprehensive security controls

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

TradeStation v3 API for Python: a typed client library, a CLI (ts), and an MCP server (ts-mcp) for market data, brokerage, and order execution across stocks, options, futures, and crypto.

Free, open-source SQL Server execution plan analyzer — cross-platform GUI + CLI with 30 analysis rules, missing index detection, SSMS extension. Built-in MCP server for AI-assisted plan review.

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

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.

Find what's slowing your database down: a free desktop app, CLI and MCP server for SQL Server, PostgreSQL, YugabyteDB, TimescaleDB, MySQL, MariaDB and SQLite performance (slow queries, execution plans, indexes, blocking, deadlocks).

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.