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  1. Home
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  3. Niro
Niro logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 3:01:52 AM

Niro

User RatingsBe the first to rate and review this MCP server!
View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website
securitypenetration-testingvulnerability-managementpull-requests

Runs authorized penetration tests against web apps, APIs, and MCP servers, then prepares evidence-backed remediation pull requests.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Niro, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

The Niro MCP server listing describes a local security-testing workflow rather than an MCP protocol endpoint. Niro prepares a target environment, runs an attacker agent against authorized HTTP surfaces, proves exploitable findings, and uses a developer agent to create fixes with validation evidence. It can run in report-only or fix mode, with findings grouped into focused pull requests for review. Reach for it when you need automated application penetration testing that continues through reproduction and remediation.

Use cases

β€’Test an authorized web application for exploitable vulnerabilities
β€’Generate proof and regression tests for confirmed security findings
β€’Open focused remediation pull requests from a penetration-test run
β€’Check coverage gaps in a local or CI security workflow

Key features

β€’Attacker-agent application testing
β€’Developer-agent remediation
β€’Exploit reproduction and evidence
β€’Automated test-state preparation
β€’Scoped sandboxed network access
β€’Review-ready pull requests

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Niro.

Extracted Tool Capabilities
Attacker-agent application testing
Developer-agent remediation
Exploit reproduction and evidence
Automated test-state preparation
Scoped sandboxed network access
Review-ready pull requests

How Niro works

What Niro MCP server does

The supplied documentation presents Niro as a command-line application for automated application security testing. It works against web applications, APIs, and MCP servers that you authorize as targets. Before testing, it can start the application or use a supplied target, create users and data, seed test state, and address setup conditions that would otherwise prevent coverage.

A run has two distinct roles. An attacker agent probes the running application, looks for exploitable behavior, and produces a working exploit without modifying the code. A developer agent can then patch findings, add validation evidence such as regression tests, and open draft pull requests. People remain responsible for setting scope, reviewing changes, and deciding what merges.

How it works

Niro treats unproven reports as unconfirmed. Its workflow attacks reachable HTTP surfaces, creates missing tenants or login state when needed, and attempts to reproduce each suspected issue. Confirmed findings are grouped by root cause so related changes can be reviewed together. The result can include a report, exploit demonstrations, coverage gaps, validation evidence, and remediation pull requests.

The README describes local execution and CI workflows, including whole-application and focused runs. It also states that Niro does not proxy model requests or require sending repositories, credentials, findings, or logs to a Niro backend. AI-provider behavior and data boundaries depend on the provider and agent CLI used for the run.

Setup and configuration

The documented quick start begins in the project root after checking the prerequisites:

Terminal
curl -fsSL https://raw.githubusercontent.com/apxlabs-ai/niro/main/install.sh | sh
niro fix

The fix command opens the selected agent CLI interactively with an initial instruction already submitted. Niro also supports report-only and scoped runs, local or CI execution, and focused developer-agent workflows. Target authorization and scope are configured through scope.yaml; attack tools run in a sandbox with network egress restricted to authorized targets.

An unattended run uses --autonomous. The documentation warns that this grants the agent CLI full current-user host access without approval prompts, so the associated privilege and threat-model documentation should be reviewed before enabling it.

Tools and capabilities

  • Prepare application state, users, tenants, and test data for a run.
  • Probe web applications, APIs, and MCP servers for exploitable bugs.
  • Produce runnable exploit evidence for confirmed findings.
  • Report unreachable areas and other coverage gaps.
  • Patch selected findings and add validation evidence.
  • Group fixes by root cause and open review-ready pull requests.

Limitations and notes

The Niro MCP server material does not document an MCP tool interface, hosted endpoint, or MCP-specific client configuration; it documents the Niro CLI. The software is strongest on common exploitable bug classes. The README notes that novel, multi-step business logic remains an area where humans are responsible for review. Coverage is limited by the targets and access authorized in scope.yaml, and every run may report areas it could not reach.

Niro Community Edition is free of charge but proprietary. The repository distributes a prebuilt binary and documentation rather than product source code. Its license permits installation, use, backup copies, and internal mirroring of the unmodified binary, while restricting public redistribution, resale, modification, and reverse engineering. Enterprise governance, audit, compliance, deployment, and commercial support are described as planned separately.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
8
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Niro

The README documents installing Niro with `curl -fsSL https://raw.githubusercontent.com/apxlabs-ai/niro/main/install.sh | sh`, followed by `niro fix`. It describes Niro as a CLI rather than documenting an MCP server package.

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Technical Specs & Signals

CategoryπŸ”’Security
PricingFree
More technical detailsExpand β–Ύ
LicenseProprietary
Last updatedSep 18, 2026
4/8 checks healthy over the last 45d
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 25, 2026
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity4/15
Community engagement1/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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