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ScriptsMay 12, 2026·2 min de lectura

MS-Agent — Lightweight Agent Framework with MCP

MS-Agent is a lightweight agent framework with MCP configs; install via pip and start with an LLMAgent example wired to Streamable HTTP MCP endpoints.

Listo para agents

Staging seguro para este activo

Este activo primero queda en staging. El prompt copiado pide inspeccionar los archivos staged antes de activar scripts, config MCP o config global.

Stage only · 17/100Política: staging
Superficie agent
Cualquier agent MCP/CLI
Tipo
Mcp Config
Instalación
Stage only
Confianza
Confianza: Established
Entrada
Asset
Comando de staging seguro
npx -y tokrepo@latest install 376e2fa5-a3f0-52fc-a8df-f212825e14a4 --target codex

Primero deja archivos en staging; la activación requiere revisar el README y el plan staged.

Introducción

MS-Agent is a lightweight agent framework with MCP configs; install via pip and start with an LLMAgent example wired to Streamable HTTP MCP endpoints.

  • Best for: teams who want an agent runner that can consume MCP configs without building a custom harness
  • Works with: Python; ModelScope API (per README); Streamable HTTP MCP endpoints
  • Setup time: 15–35 minutes

Practical Notes

  • Quant: install is pip install ms-agent with an optional [research] extra per README.
  • Quant: validate MCP wiring by calling one tool via an MCP endpoint and logging the round-trip latency (baseline for regressions).

How to use it as a harness (not a demo)

The README example is a good start, but production usage needs guardrails:

  1. Pin MCP server configs per environment (dev/staging/prod) and store them in version control.
  2. Separate credentials from configs: env vars only, no secrets checked into repos.
  3. Replayability: keep a small set of “golden tasks” you can re-run after upgrades to detect regressions.

If your goal is evaluation/security, wrap runs with:

  • input/output logging,
  • tool-call allow-lists,
  • and a cost/latency budget per task.

FAQ

Q: Does it support MCP? A: Yes. The README includes an example mcpServers config wired into LLMAgent.

Q: How do I keep runs reproducible? A: Pin configs + keep golden tasks + log tool calls and outputs.

Q: What should I do first? A: Wire one simple MCP server endpoint and run a single task end-to-end before adding more tools.

🙏

Fuente y agradecimientos

Source: https://github.com/modelscope/ms-agent > License: Apache-2.0 > GitHub stars: 4,244 · forks: 496

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