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  3. Impact Preview
Impact Preview logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 2:01:19 AM

Impact Preview

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
developer-toolssecurityagent-safetyfile-systems

Previews agent actions, assesses risk, and requires human approval before execution.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "impact-preview": {
      "command": "uvx",
      "args": [
        "impact-preview"
      ],
      "env": {
        "SECRET_KEY": "YOUR_VALUE_HERE",
        "DATABASE_URL": "YOUR_VALUE_HERE",
        "REDIS_URL": "YOUR_VALUE_HERE"
      }
    }
  }
}

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

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

Overview

The impact-preview MCP server intercepts proposed agent actions, generates diffs and risk warnings, and waits for human approval before execution. It exposes preview tools for file writes, file deletion, shell commands, and path-risk checks through a local MCP endpoint. The project also provides an API, audit events, an SDK decorator, and a Streamlit dashboard for broader approval workflows. Reach for it when an agent needs guardrails around potentially destructive file or shell operations.

Use cases

•Preview agent file edits before applying them
•Review shell commands for dangerous operations
•Require approval for changes to sensitive paths
•Audit proposed and executed agent actions

Key features

•File write and delete previews
•Shell command risk checks
•Path risk assessment
•Human approval workflow
•Event-sourced audit trail
•SDK approval decorator

Capabilities & Tool Schemas

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

Extracted Tool Capabilities
File write and delete previews
Shell command risk checks
Path risk assessment
Human approval workflow
Event-sourced audit trail
SDK approval decorator

How Impact Preview works

What impact-preview MCP server does

The impact-preview MCP server adds a review step between an AI agent's proposed operation and its execution. It is intended for workflows where an agent can modify files, run commands, or otherwise perform actions that need human oversight. A proposed action is analyzed, a preview is generated, and a person can approve, reject, or modify it before the operation proceeds.

The MCP quick-start server focuses on four tools: previewing file writes, previewing file deletions, checking shell commands for dangerous behavior, and checking the risk associated with a path. File previews can show the expected diff, while risk analysis identifies concerns such as production data or system-file access.

How it works

An agent submits or proposes an action. The service evaluates its likely impact and assigns a risk level, ranging from low to critical. The result can include a file diff, warnings, and machine-readable governance information. A human then reviews the result and chooses whether the action should continue.

The wider workflow follows the same pattern through the HTTP API: register an agent, submit an action, retrieve its preview or diff, and approve or reject it. Approved operations can then be executed. Events for proposed and executed actions are retained in an event-sourced audit trail, and preview events can include policy decisions, matched rule identifiers, scanner reason identifiers, and maximum severity.

Setup and configuration

Install the Python package with pip install impact-preview, then start the MCP service with impact-preview-mcp. The README shows a local endpoint at http://localhost:8000/mcp for Claude Desktop configuration. Cursor is also listed as a supported way to try the MCP server.

The full service can be started with Docker Compose or with the impact-preview command. Its documented configuration includes SECRET_KEY, DATABASE_URL, and REDIS_URL; optional settings include FREE_TIER_ACTIONS_PER_MONTH and LOG_LEVEL. The dashboard requires the additional UI installation and is launched with Streamlit.

Tools and capabilities

The impact-preview MCP server exposes these documented preview capabilities:

  • Preview file content changes before a write.
  • Show what would be lost before deleting a file.
  • Flag potentially dangerous shell commands.
  • Check the risk of a path.

Beyond MCP, the package includes an AgentPolisClient SDK and a require_approval decorator. The decorator submits a wrapped operation, blocks while approval is pending, and executes it only after approval. The API supports file, database, HTTP, shell, and custom action types, although the roadmap identifies database and API-call preview as planned work rather than current MCP functionality.

Limitations and notes

The project is currently marked at version 0.2.0, with file-operation preview listed as the current focus. Database-operation preview, API-call preview, IDE integrations, and production readiness appear in the roadmap as future milestones. The README does not document integrations beyond Claude Desktop and Cursor, and it does not establish that every listed API action type is already implemented in the MCP server.

The service is designed around human approval, so it is not a replacement for permissions, backups, sandboxing, or other execution controls. Its risk assessment can identify documented high-risk categories, but the material does not state that it guarantees detection of every unsafe action.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
7mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Impact Preview

Install the Python package with `pip install impact-preview`, then run `impact-preview-mcp`.

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Technical Specs & Signals

CategoryšŸ’»Developer Tools
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
9/12 checks healthy over the last 45d
Views3
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 stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit7mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Feb 13, 2026
37Quality signal: Fair Ā· 37/100How this signal is calculated ā–¾
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools17/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — 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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev Ā· impact-preview (PyPI)

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