llm-redteam-mcp
by Aeronique
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LLM_REDTEAM_PROBE_DIR | No | Probe library directory. | ./probes |
| LLM_REDTEAM_OLLAMA_URL | No | Ollama base URL. | http://localhost:11434 |
| LLM_REDTEAM_REPORTS_DIR | No | Where export_report writes. | ./reports |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_modelsA | List the LLM models installed in the local Ollama instance. |
| list_probesA | List every probe category and the probes it contains. |
| run_probeA | Run every probe in |
| run_singleA | Run one ad-hoc |
| export_reportA | Write the most recent run to timestamped JSON and Markdown in ./reports. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Aeronique/llm-redteam-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server