MCP server
AgentChat
AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
- Version
- main
- Analysed
- Last observed
What the code does
- Runs shell commands Code that starts system commands on the machine it runs on.
- Sends data to outside servers Code that posts data to network addresses.
- Brings outside content into the agent Tools that return web pages, search results, documentation or messages written by others. That text reaches the model, and instructions planted in it can steer the agent (indirect prompt injection). Treat what these tools return as untrusted input.
- Evaluates code at runtime Code that builds and runs code while it executes.
- Asks your agent's AI to write text The server can request text from the agent's own model (MCP sampling).
Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.
This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.
Risk
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Coverage
Complete static analysis
Detailed report
9 findings from automated static analysis of the latest version, with severities and explanations.
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