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Jimil-Joshi/blastradius-mcp

Jimil-Joshi/blastradius-mcp

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官方说明lves each agent tool call the way the shell will, scores it 0-100 *before* it runs, blocks the dangerous ones, redacts credentials flowing in either direction, requires a signed human approval token for high-impact actions, detects multi-step attack sequences, and leaves a tamper-evident audit trail.
配置模板(请按你的客户端调整)
claude mcp add blastradius-mcp -- npx -y blastradius-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · Jimil-Joshi/blastradius-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Jimil-Joshi/blastradius-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

BlastRadius MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**A zero-trust security proxy for Model Context Protocol servers.** It resolves each
agent tool call the way the shell will, scores it 0-100 *before* it runs, blocks the
dangerous ones, redacts credentials flowing in either direction, requires a signed
human approval token for high-impact actions, detects multi-step attack sequences, and
leaves a tamper-evident audit trail.
Apache-2.0. Two runtime dependencies. Runs locally, opens no sockets, phones
nothing home, no license key and no paid tier.
---
The problem
Give an agent bash, filesystem, SQL, or cloud access through MCP and you have
handed a language model the ability to run rm -rf, DROP TABLE, or
aws s3 rb. Those are not hypotheticals, they are the first thing anyone writes
in a demo. Meanwhile:
- Tool inputs and outputs carry unmasked AWS keys, GitHub PATs, and database passwords.
- Nothing simulates the consequences before the call lands.
- Nothing records that the call happened, so nothing can be reviewed afterwards.
Existing options ask you to route every call through a hosted control plane, or to
rewrite your agent loop. BlastRadius sits in front of the MCP server instead. Your
agent's loop does not change.
And the second problem: matching the text is not the same as matching the command
This is the one that gets products like this wrong.
A guardrail matches the submitted string. The shell executes the *resolved*
string. Bash rewrites the text first, through quote removal, parameter expansion,
command substitution, and pipeline assembly. So these are the same command to the
kernel and completely different strings to a regex:
A guard evaluating the pre-transformation string and a shell executing the
post-transformation string are evaluating **two different commands**.
This is not a hypothetical concern. The **GuardFall** survey, published 30 June
2026, tested the pre-execution command guards in eleven actively maintained coding
agents spanning roughly 548,000 GitHub stars. Agents whose guard regexes the raw
command string leaked on the large majority of bypass cases attempted against them.
Goose leaked on 22 of 23. OpenCode on 16 of 16. Only **Continue**, which tokenizes
with shell-aware parsing and resolves expansion and substitution *before* matching
the fully resolved command, blocked all twenty-one cases.
So this engine resolves first, then matches. See
Seeing past the bypass.
---
Install
Requires Node 22+. That is the whole install.
Standalone
Run it as its own MCP server and call its tools from your agent.
Proxy mode
Wrap an existing server. Nothing downstream changes.
Working configs for Cursor, Cline, and VS Code are in examples/.
Installable as a one-click local MCP bundle via manifest.json.
---
Real output
Every block below was produced by running the engine, not written by hand.
Regenerate them yourself with node scripts/generate-readme-transcripts.mjs.
Scoring a destructive action
The same command, different environment
Score 95 on staging. **100** when the context says production.
A read is not a risk
Redacting credentials on the way in
The policy gate blocks
Step-up approval, and the replay it prevents
The same call three times: no token, valid token, same token again.
That third block is the whole point. An approval token authorises exactly one
action.
---
The six tools
| Tool | What it does |
| :--- | :--- |
| simulate_action | Scores an action 0-100 before execution, reports severity, affected entities, and whether rollback is possible |
| inspect_payload_dlp | Finds and redacts secrets and PII in any text |
| enforce_policy | The decision point. Returns ALLOW, BLOCK, or REQUIRE_CONFIRMATION, plus the rule that fired |
| request_confirmation_token | Issues a signed, single-use, tool-scoped approval token |
| verify_audit_log | Re-walks the hash chain and its signatures to detect tampering |
| get_security_posture | Live metrics, active policy, build capabilities |
---
Seeing past the bypass
src/analyzer/shellResolver.ts resolves a command
the way a POSIX shell would, to the extent that is possible **without executing
anything**. The rule patterns then run against what the shell would actually run.
来源
awesome · https://github.com/Jimil-Joshi/blastradius-mcp
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