Official descriptionlves 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.
Config template (adjust for your client)
claude mcp add blastradius-mcp -- npx -y blastradius-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · Jimil-Joshi/blastradius-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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?
repository Jimil-Joshi/blastradius-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**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.