ghostsoc-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ghostsoc-mcpscan api.example.com and show me the ranked findings report"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ghostsoc
Autonomous security analyst that drives the ghostsuite tools, correlates their findings across tools, and writes one ranked report.
Every ghostsuite tool finds something and emits it into the void. ghostsoc is the layer that thinks across them. It runs the right scanners for a target, normalises every tool's output into one findings model, chains findings that share an asset into attack paths, lifts the severity of chains that genuinely escalate, and writes a single report a human or an agent can act on.
How it works
adapters normalise correlate reason report
ghostrecon -> Finding -> dedupe by fingerprint -> triage per -> md / json
ghostdlp objects chain by shared asset chain / html
ghostmap lift escalating chains (GhostLM or
(any SARIF tool) fallback)The one idea that makes this more than a wrapper: correlation. A leaked credential is a High on its own. A leaked credential on a host a recon pass already flagged as a reachable service is a different animal, the key unlocks something you can get to. When findings on one asset span two of exposure, secret and vuln, ghostsoc raises the chain a severity band and says why.
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Install
pip install -e . # core, no third-party deps
pip install -e .[mcp] # add the MCP server
pip install -e .[dev] # tests and lintghostsoc shells out to the ghostsuite tools. It only runs the ones it finds on your PATH and quietly skips the rest, so a partial install still produces a report.
Use
ghostsoc adapters # what is wired in and what is installed
ghostsoc scan api.example.com # markdown report to stdout
ghostsoc scan ./repo --format json # json for a pipeline
ghostsoc scan api.example.com --format html --out report.html
ghostsoc scan api.example.com --only ghostrecon,ghostdlpAdapters
adapter | tool | input | categories | output |
ghostrecon | ghostrecon | host | recon, attack-surface | json |
ghostdlp | ghostdlp | path, host | data-leak, secrets | json |
ghostmap | ghostmap | url | web, dast | sarif |
any | any | varies | sast, dast, ... | sarif |
Any suite tool that emits SARIF 2.1.0 plugs in as a four-line SarifAdapter
subclass. More first-class adapters (ghostsbom, ghostcloud, ghostchain) are next.
A worked example
Two tools, two findings, one host:
ghostrecon: open service on api.example.com:8080 (MEDIUM, attack-surface)
ghostdlp: leaked database credential (HIGH, data-leak)Report:
## 1. api.example.com
**CRITICAL** · ghostdlp, ghostrecon
ghostrecon found exposed service and ghostdlp found leaked database credential on the same asset.
> A leaked secret sits on an asset that is reachable from outside. Treat it as an
> active foothold: rotate the credential and close the exposure before anything else.
- **HIGH** ghostdlp: leaked database credential
- **MEDIUM** ghostrecon: exposed serviceNeither tool would have told you this on its own.
Drive it from an agent
ghostsoc-mcpExposes scan_target(target, only=None) and list_adapters() over MCP. Point
GhostLM, Claude, or any MCP client at it and the agent runs the suite and reads
back correlated chains with a triage note on each.
Layout
ghostsoc/
findings.py the one Finding shape every adapter normalises into
adapters/ one module per tool, plus generic SARIF ingest
correlate.py dedupe by fingerprint, chain by shared asset, lift escalations
reason.py GhostLM triage note per chain, heuristic fallback offline
engine.py select adapters, run in parallel, correlate, isolate failures
report.py markdown, json and html renderers
cli.py ghostsoc scan / adapters
mcp_server.py the MCP surfaceStatus
Early. Core pipeline (adapters, correlation, reasoning, reports, CLI, MCP) works. Next: more first-class adapters, a YAML policy gate reusing secure-mcp, and a coverage view once ghostrange lands. See the roadmap in the issues.
License
MIT
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