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Sandbase Harness MCP Server

by Sandbaseai
Developer ToolsUse Caution4.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Stdio MCP bridge for SandBase Harness agents, sessions, turns, artifacts, and cancellation.

About

Stdio MCP bridge for SandBase Harness agents, sessions, turns, artifacts, and cancellation.

Security Report

4.2
Use Caution4.2High Risk

SandBase Harness is a well-structured AI agent runtime with generally sound security practices. Authentication is implemented appropriately with optional API key support, and sensitive credentials are handled with encryption for secrets. However, there are moderate concerns around secret redaction consistency, potential unencrypted credential storage in certain flows, and insufficient input validation in some areas. The server's broad permissions (shell_exec, file_read/write, network_http, process_spawn) are justified by its purpose as a sandboxed execution environment, but users should be aware of the infrastructure trust model required. Supply chain analysis found 14 known vulnerabilities in dependencies (0 critical, 3 high severity).

3 files analyzed · 22 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

process_spawn

Check that this permission is expected for this type of plugin.

database

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

URL of the SandBase Harness runtime API.Optional

Environment variable: MANAGED_AGENTS_URL

API key when the connected Harness runtime requires authentication.Required

Environment variable: MANAGED_AGENTS_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-sandbaseai-sandbase-harness": {
      "env": {
        "MANAGED_AGENTS_URL": "your-managed-agents-url-here",
        "MANAGED_AGENTS_API_KEY": "your-managed-agents-api-key-here"
      },
      "args": [
        "-y",
        "managed-agents"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

SandBase Harness

English | 中文

GitHub stars Listed on deepseek-plugin.org Release Official MCP Registry Discussions CodeQL License

AI-readable project metadata: llms.txt · installation guide

A local-first runtime for AI agents. Sessions, sandboxed tools, memory, credentials, audit trails, and a built-in Console — all running on your machine or in your own infrastructure.

Building with DeepSeek Harness? The independent DeepSeek Harness Handbook provides source-backed runtime guides, multilingual troubleshooting, and a regularly updated Agent-first resource map.

SandBase Harness architecture

Looking for a lightweight bridge instead of a full runtime? SandBase CLI connects 25 AI client targets to 2,000+ models and APIs through a local stdio MCP bridge. If it fits your workflow, star SandBase CLI so other agent users can discover it.

Need hosted model and media APIs instead? SandBase provides one interface for LLM, image, and video generation APIs, with the API quickstart covering keys and first calls.

git clone --branch v0.3.8 --depth 1 https://github.com/sandbaseai/sandbase-harness.git
cd sandbase-harness
npm ci
npm run build
mkdir ../my-agents && cd ../my-agents
node ../sandbase-harness/dist/index.js init
node ../sandbase-harness/dist/index.js start
# open http://127.0.0.1:3000/dashboard

Choose SandBase Harness when you need more than a model loop:

NeedWhat Harness provides
Run generated code safelyLocal, Docker, Kubernetes, and self-hosted worker sandboxes
Inspect long-running agentsPersistent sessions, resumable event streams, audit, and replay
Control tool accessMCP toolsets, credential vaults, permission policies, and approvals
Operate any modelOpenAI, Anthropic, MiniMax, and OpenAI-compatible providers, including DeepSeek V4
Keep infrastructure yoursLocal-first SQLite and file storage with no required hosted control plane

If this runtime solves a real agent-infrastructure problem for you, star the repository so other builders can find it.

Find SandBase Harness

The project is also discoverable through these independent ecosystem directories:

Recently verified community references:

Pending community review:

Documentation truncated — see the full README on GitHub.

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