AgentGuard for Splunk MCP
A safety layer and monitoring copilot for AI agents using Splunk MCP, recording tool calls, enforcing policies, and blocking risky actions.
README
AgentGuard for Splunk MCP
AgentGuard is a black-box recorder, policy firewall, and investigation copilot for AI agents using Splunk MCP.
It sits between an AI agent and Splunk MCP-style tool calls, records every action, evaluates policy risk, blocks or routes suspicious requests for human approval, and forwards audit events to Splunk HTTP Event Collector (HEC). The demo includes a local operations console, a simulated malicious incident ticket, Splunk dashboard assets, and submission-ready video/storyboard documentation.
Hackathon Positioning
- Track: Platform & Developer Experience, with a strong Security story
- Bonus target: Best Use of Splunk MCP Server
- One-line pitch: A flight recorder and safety layer for agentic operations in Splunk.
- Core demo: An AI incident agent starts a normal investigation, receives a malicious prompt injection, attempts restricted SPL queries, and AgentGuard blocks the risky calls while creating an auditable timeline.
Submission Status
- Local demo: ready
- Public GitHub repo: ready to publish as
sauravtom/agentguard-splunk-mcp - Splunk Cloud trial: created as
MyInstance, 5GB/day, June 7-22, 2026 - Live Splunk HEC ingestion: pending until the Splunk Cloud
ACCESS INSTANCEbutton becomes enabled and HEC can be configured
What Works Today
- MCP-style tool-call proxy endpoint:
POST /api/mcp/tool-call - Policy engine for restricted indexes, PII exfiltration, destructive actions, broad searches, and prompt injection
- Local append-only audit log
- Optional Splunk HEC forwarding
- AI-style investigation summary with evidence links and safe next actions
- React demo console with incident timeline, policy decisions, approval queue, and summary panel
- Splunk Simple XML dashboard and SPL examples
- Demo video script, narration, screenshot plan, GitHub publication checklist, and Devpost copy
Quick Start
npm install
npm run dev
Open http://localhost:5173.
The API runs on http://localhost:8787. Vite proxies /api to the API server.
Demo Flow
- Click
Reset demo. - Click
Run safe investigationto show normal Splunk MCP-style usage. - Click
Run malicious ticketto inject a prompt that tries to leak secrets and query restricted indexes. - Review the timeline, blocked calls, approval queue, and investigation summary.
- If Splunk HEC is configured, search for
sourcetype=agentguard:mcp:auditin Splunk.
Optional Splunk HEC
Create .env from .env.example:
cp .env.example .env
Set:
SPLUNK_HEC_URL=https://localhost:8088/services/collector/event
SPLUNK_HEC_TOKEN=your-token
SPLUNK_HEC_INDEX=main
AgentGuard will still work without Splunk HEC. In local mode it writes audit events to data/audit-log.jsonl.
Repository Requirements Covered
- Open source license:
LICENSE - Setup and run instructions: this README
- Example config:
.env.example - Example data:
data/demo-scenarios.json - Architecture diagram:
architecture_diagram.md - Demo video plan:
docs/demo-video-script.md - Devpost copy:
docs/devpost-submission.md - Submission checklist:
docs/submission-checklist.md - Public GitHub plan:
docs/github-publication-plan.md
Architecture
See architecture_diagram.md.
Security Notes
Do not commit .env, Splunk HEC tokens, Splunk session data, downloaded support files, or recorded videos that expose credentials. Runtime audit logs are ignored through .gitignore.
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