This project transforms the `reptor` CLI tool into an MCP (Model-Context-Protocol) server, exposing its powerful pentest reporting and automation
Reptor MCP connects Reptor MCP to AI assistants that speak the Model Context Protocol. This project transforms the reptor CLI tool into an MCP (Model-Context-Protocol) server, exposing its powerful pentest reporting and automation features as a programmable service.
This project transforms the reptor CLI tool into an MCP (Model-Context-Protocol) server, exposing its powerful pentest reporting and automation features as a programmable service.
uv (recommended) or pip * A running SysReptor instance with an API tokenCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| list_findings | Lists findings with filters (status, severity, title). |
| get_finding_details | Gets full details of a finding by ID. |
| get_finding_schema | Discovers available finding fields, types, and constraints for a project. Call before create_finding or patch_finding. |
| create_finding | Creates a new finding from a flat data dict. |
| patch_finding | Updates a single field on a finding. |
| delete_finding | Deletes a finding by ID (requires explicit confirmation). |
| upload_template | Uploads a finding template from JSON or TOML. |
| Category | Tools |
| Templates | template |
| Translation | translate (via DeepL) |
{
"mcpServers": {
"reptor-mcp": {
"type": "streamable-http",
"url": "http://localhost:8008/mcp/"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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