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by C2SAgent · MCP Server · ★ 289
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C2S Agent C2S Agent is an AI Agent construction platform that provides configurable online Agents and MCP services. This means that as long as you have an HTTP request interface, you can configure it into an MCP tool. Additionally, Agents can communicate with each other, working as a team to solve your problems. English | 简体中文 🛸 Online Access www.c2sagent.com 💡 Features 1 Configurable Agents • You only need to configure an llmurl, apikey, and a detailed description for your Agent. • You can bind an MCP service to your Agent. 2 Configurable MCP Services • You just need to create a new MCP service and configure MCP tools in the form of HTTP request interfaces. • Once created, you can bind the MCP service to your Agent. 💡 Some Solutions (Continuously Optimizing) 1 Single-Port Multi-Agent Service Based on A2A Protocol • https://github.com/C2SAgent/c2sagent/blob/main/srca2a/a2aserver/init.py extends the functionality of the A2A protocol. If neede
| Stars | 289 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.1717151556633/100 |
| Open Issues | 10 |
| Last Updated | 2026-05-01 |
| Created | 2025-06-21 |
| Platforms | mcp, python |
| Est. Tokens | ~245k |
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c2sagent is C2S Agent is an lightweight AI Agent construction platform that provides configurable online Agents and MCP services, You can configure any HTTP request interface as an MCP tool. C2S Agent 是一个轻量级的AI A. It is categorized as a MCP Server with 289 GitHub stars.
c2sagent is primarily written in Python. It covers topics such as a2a, agents, configurable.
You can find installation instructions and usage details in the c2sagent GitHub repository at github.com/C2SAgent/c2sagent. The project has 289 stars and 16 forks, indicating an active community.
c2sagent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to c2sagent on Agent Skills Hub include JoySafeter, sre, any-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: