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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Residue Evidence

by fantasyceversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.fantasyce/agent-residue-evidence

Install

Overview

Description from the maker (original English)

Report local task-scoped test and build residue without cleaning resources.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account fantasyce, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3577 servers in this category
  • Published to the registry more recently than 30% of the other 3577 servers in this category
  • Basic checks equal to or better than 100% of the other 3577 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Residue Evidence safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Calendar

Agent-Native Google Calendar - manage events, sync, and public booking

by BuilderIOGrowing★ 7.6KUpdated 2 months ago

Runs in the cloud

Excel MCP Server

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

by haris-musaWidely used↓ 49.6K/wk★ 4.3KUpdated 8 days ago

Runs on your computer

MCP Server for Excel

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

by sbroenneGrowing↓ 4.3K/wk★ 847Updated 5 days ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agent Residue Evidence

Agent Residue Evidence (ARE) adds an evidence checkpoint to an Agent's test and build workflow:

observe → Agent reviews evidence → user authorizes cleanup

→ Agent cleans with its own tools → ARE verifies

ARE shows task-scoped files, directories, attributed processes, and their listening ports. It never deletes files, stops processes, closes ports, decides that something is safe to delete, scans the full machine, uploads data, uses the network, or collects telemetry.

Visit the project site, run the reproducible task-residue demo, or download the latest verified release.

Standard task

Before the first test or build, the Agent calls begin_task_observation with the exact workspace and any task-owned temporary roots. Events are optional; safe generic events or empty heartbeats can be sent with append_task_events. Before its final answer, the Agent calls end_task_observation, explains the candidates, and asks the user what to do. Only after explicit authorization does the Agent clean with its normal tools. It then calls verify_task_residue to recheck the same stable candidates.

NO_CANDIDATES_OBSERVED means only that no candidate appeared inside the declared observation scope. It is not a host-wide cleanliness claim.

Completed task without a baseline

inspect_completed_task accepts explicit roots and a bounded time window. The result is always PARTIAL_EVIDENCE; it can use Event, receipt, inferred, or unattributed evidence, but never claims BASELINE_OBSERVED. Use get_residue_report to read a saved report without observing again.

Every observation is isolated by an opaque owner capability. Task IDs, report IDs, observation IDs, and candidate IDs are display references only and never authorize access. State is encrypted at rest with opaque filenames; exact paths are revealed only through an authorized candidate-resolution call. Short-lived executor capabilities can append only explicitly allowed event types and root aliases and cannot read, end, verify, or resolve a task.

The MCP surface contains exactly eight tools:

  • begin_task_observation
  • append_task_events
  • end_task_observation
  • inspect_completed_task
  • get_residue_report
  • verify_task_residue
  • delegate_task_executor
  • resolve_residue_candidate

There is deliberately no cleanup, delete, execute, terminate, or close tool.

Local-first packaging

One release contains a native CLI/stdio MCP server, thin Agent Plugin, MCPB, checksums, provenance, and SPDX SBOM. See Quickstart and Install. Runtime operation is fully local and offline. Reports default to seven-day retention and a 100 MB total cap; retained reports and active baselines are protected. Uninstall never silently deletes reports.

The current release is published in the official MCP Registry as io.github.fantasyce/agent-residue-evidence.

Native acceptance covers macOS 14+ arm64, Linux amd64, and Windows 11 amd64 through mandatory native CI jobs. Cross-compilation alone is not reported as native acceptance.

Agent Reliability Toolkit

ARE is one independent part of a small, local-first reliability toolkit:

Each project remains separately installable and keeps its own trust boundary.

Community feedback

Real Agent-host evaluations are especially useful. Share a synthetic or redacted workflow in the design-partner issue, including the host and ARE version, declared observation scope, and observed result. DSH users can also join the official community discussion. Do not post credentials, private paths, raw command lines, environment values, proprietary code, or full transcripts.

Development

Go 1.26 or 1.27 is required.

bash scripts/check.sh

bash scripts/run_native_acceptance.sh

Apache-2.0 licensed. See Security, Contributing, and native acceptance.

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