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MCP server · Agents

Agent Playground

LLM Harness for developing, debugging, and evaluating custom agents, tools, MCP servers, prompts, and memory constructs using Anthropic, OpenAI, or a local model.

34Low

Scored 8 hours ago · breakdown

About Agent Playground

Agent Playground is an MCP server published by Travis-ML in the Agents category: lLM Harness for developing, debugging, and evaluating custom agents, tools, MCP servers, prompts, and memory constructs using Anthropic, OpenAI, or a local model. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Travis-ML/agent-playground

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About Agent Playground

How do I install Agent Playground?

Run git clone https://github.com/Travis-ML/agent-playground, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Agent Playground safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Agent Playground still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.