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Health: ActiveRecent health check succeeded.Last checked 8/27/2026, 12:31:00 AM

Agent Safe Pipeline

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository531 GitHub StarsTotal stargazers on GitHub for the source repository (531 stars).Visit Website

Fail-closed policy gate for AI agent actions, with local evaluation and native pre-tool hooks.

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.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-224": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-224"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Agent-Safe Pipeline

Continuous integration CodeQL Secret scanning OpenSSF Scorecard OpenSSF Best Practices License: Apache-2.0

Let agents propose. Let policy decide.

Agent-Safe Pipeline is a reference architecture for executing AI-agent actions through an independent authorization boundary.

This repository is a library and runnable reference implementation, not a hosted authorization service or a substitute for provider-side identity, least privilege, network isolation, and incident response. Its safety claims apply only when the documented trust boundary is preserved.

text
Agent -> immutable intent -> Decionis -> ALLOW / ESCALATE / BLOCK -> SafeExecutor -> API
                                      |
                                      +-> Presence -> verified human approval -> Decionis re-evaluation

Agents can reason, plan, and propose actions. They must not determine whether their own actions are authorized, possess downstream privileged credentials, or choose which trusted handler runs.

Five-minute demo

Requirements: Node.js 22.14 or later and pnpm 9.

bash
git clone https://github.com/decionis/agent-safe-pipeline.git
cd agent-safe-pipeline
pnpm install --frozen-lockfile
pnpm --filter @decionis/agent-safe-example-basic demo

The demos use an explicitly non-production fixture authority. A production integration uses DecionisGate and DecionisGrantVerifier with server-side credentials.

server.ts
const captured = intentCapture.capture(agentProposal, trustedContext);
const decision = await gate.evaluate(captured);
const result = await executor.run(captured, decision);

The executor accepts a captured intent and a decision. It does not accept an arbitrary callback from the agent. A sealed ActionRegistry maps action names to trusted handlers and validates parameters before consuming a single-use grant.

Repository map

  • packages/pipeline β€” IntentCapture, DecionisGate, Presence coordination, and SafeExecutor.
  • examples/basic-agent β€” the smallest BLOCK flow.
  • examples/shopify-refund-agent β€” amount-based ALLOW / ESCALATE / BLOCK.
  • examples/github-deploy-agent β€” environment and force-push controls.
  • examples/procurement-agent β€” an in-budget software request held when existing tools still have user capacity.
  • examples/mcp-tool-gate β€” a real stdio MCP server with a governed tool.
  • ARCHITECTURE.md and THREAT-MODEL.md β€” trust boundary and abuse analysis.
  • conformance/agent-safe-intent-v1.json β€” portable canonical-hash test vector.
  • conformance/vectors/ β€” edge-case canonical-hash vectors (Unicode/astral, NFC vs NFD, negative zero, fractional/exponent numbers, nested arrays, UTF-16 key sort order), auto-discovered by the conformance test.
  • FIXTURE-PROVENANCE.md β€” origin and permitted use of every fixture family.
  • DEPENDENCY-LICENSES.md β€” generated inventory method and platform-conditional dependency notes.
  • SECURITY-EVIDENCE.md β€” control-to-artifact evidence map and published gaps.
  • PUBLICATION-SIGNOFFS.md β€” human decisions that automation cannot make.

Production invariants

  1. Agent input contains only the proposed action, target, and parameters. Tenant, actor, downstream target, and credentials come from trusted runtime configuration.
  2. The exact canonical intent is hashed and expires quickly.
  3. Decionis independently decides. Network errors, malformed responses, missing grants, or binding mismatches fail closed.
  4. Presence proves a human approved that exact intent; Presence never directly authorizes execution. Decionis verifies the receipt and re-evaluates policy.
  5. The grant is bound to the intent, decision, audience, and expiry and is consumed atomically before the handler runs.
  6. Downstream credentials exist only behind the trusted executor.

See docs/trust-boundary.md before integrating a real downstream API.

Public-repository policy

This is intended to be the public, canonical reference implementation. It should not be mirrored: mirrors create contract and security-fix drift. Public content belongs hereβ€”architecture, package source, synthetic policies, and runnable examples. Production policy bundles, customer data, credentials, internal infrastructure, and private incident material do not.

Decionis remains the authoritative decision service, Presence remains the human-verification service, and their server internals can evolve independently behind versioned contracts.

Status

The package is published as @decionis/agent-safe-pipeline. Install the latest stable release with npm install @decionis/agent-safe-pipeline; prereleases require an explicit version such as npm install @decionis/agent-safe-pipeline@0.1.3-rc.2.

Development

bash
pnpm install --frozen-lockfile
pnpm verify

pnpm verify enforces formatting, Markdown lint, fixture conventions, canonical licensing, separate production/toolchain audits, deterministic performance tests, types, tests, and coverage thresholds of 90% for lines/functions/statements and 85% for branches. pnpm mutation checks that trust-boundary tests kill deliberate code mutations. pnpm fuzz runs deterministic property tests against canonical intent handling; CI also runs them weekly with a larger bounded sample. Installation activates the repository's simple-git-hooks pre-commit guardrails.

Apache-2.0 licensed. See LICENSE, TRADEMARKS.md, SECURITY.md, and CONTRIBUTING.md. Report suspected vulnerabilities through GitHub's private advisory form, not a public issue.

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Reviews

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Frequently Asked Questions about Agent Safe Pipeline

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp": { "command": "npx", "args": ["-y", "mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
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 stars531
GitHub Star CountTotal stargazers on GitHub representing community popularity (531 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 24, 2026
npm downloads7,286/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
45Quality signal: Fair Β· 45/100How 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 & activity13/15
Community engagement0/10

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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