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Aggrete

by aggreteversion 0.13.4i★ –iRuns on your computer
Registry nameio.github.aggrete/aggrete

Install

Overview

Description from the maker (original English)

MCP policy proxy: enforces a code of conduct across connectors before the upstream is called.

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: Other

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.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "aggrete": {
      "command": "uvx",
      "args": [
        "aggrete"
      ]
    }
  }
}

Run this in your terminal

claude mcp add aggrete -- uvx aggrete

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aggrete": {
      "command": "uvx",
      "args": [
        "aggrete"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aggrete": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "aggrete"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aggrete, 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 Otheri

  • More stars than 0% of the other 32568 servers in this category
  • Published to the registry more recently than 60% of the other 32568 servers in this category
  • Basic checks equal to or better than 100% of the other 32568 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 Aggrete 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 (0.13.4) reached the registry 26 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, FlyDocs

Alternatives

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

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

FlyDocs

by flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

Runs on your computerUpdated today
Install

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.

Aggrete

An MCP proxy that enforces a code-of-conduct document across connectors, with per-user memory that accumulates across calls.

Four individually-authorized questions can assemble a layoff list — no single one is sensitive, so no guardrail fires. Aggrete is the layer that catches the *combination*: is this call, together with everything this person already pulled today, something the code of conduct forbids?

[Try it live](https://try.aggrete.com) — nothing to install · or uvx aggrete --demo

Start with a scan

pip install aggrete && aggrete scan

Finds every MCP server your clients use, connects to each, and prints what no per-server scanner does: tool combinations across servers that form a leak path, hidden instructions in descriptions, secrets in client configs, servers that bypass the proxy. --fix writes the config and policy that close them. Details.

Install

pip install aggrete                 # or: uv tool install aggrete

uvx aggrete --demo # the walkthrough — no config, auth, or network aggrete --config proxy.config.yaml # run it for real

The one example

The check tool dry-runs a plan and returns the verdict before anything is fetched:

Plan check: REFUSED.
  1. hr__recent_joiners [hr-personnel] -> allowed
  2. finance__budget_roles [finance-comp] -> allowed
  3. ops__oncall_draft [ops-rota] -> REFUSED COC-HR-004 Personnel, compensation, and operational rosters may not be combined to derive the planned departure of identifiable individuals.

Each call is fine alone. The third completes a forbidden set across three domains that overlap on the same people, so it's denied before the upstream call — the data is never fetched.

What it does

  • Refuses before fetching, using a YAML policy and per-user memory across calls and sessions — not single-call authorization.
  • Redacts emails, SSNs, cards, and tokens from results before they reach the model; hides walled tools from users who can't call them.
  • Shields against prompt injection — any write after a session reads untrusted content is refused — and against tool poisoning, flagging hidden instructions in tool descriptions.
  • Holds upstream credentials itself (confused-deputy safe), with optional per-user on-behalf-of access.
  • Audits tamper-evidently — every decision is one hash-chained JSON line (aggrete-audit), forwarded to a SIEM or an OpenTelemetry collector, with Prometheus metrics and health endpoints for operations.
  • Ask before you act — check previews any sequence, scenarios lists things to try.
  • Hold for a human — action: approve pauses a call until the clause owner approves it, from Slack, the terminal, or the console; the approval is a time-limited, audited grant.

Learn more

  • [Writing policy](docs/POLICY.md) — the coc.yaml schema, rule types, arg_match, and drafting from your handbook with aggrete-ingest
  • [Deploying](docs/DEPLOY.md) — architecture, the deploy matrix, HTTP + OAuth, connecting Claude, and per-user credentials
  • [Building a connector](docs/CONNECTORS.md) — expose read/write tools and govern any system (Google Drive is the reference)
  • [Adapter mode](docs/ADAPTERS.md) — run the engine inside agentgateway (native ExtMCP over gRPC, aggrete extmcp), Docker MCP Gateway, IBM ContextForge or any AuthZEN-speaking gateway
  • [What it does not stop](docs/LIMITS.md) — supply chain, host execution, client bugs, memory poisoning: where a proxy is the wrong control and what is
  • [Scanning](docs/SCAN.md) — aggrete scan hardens an existing MCP setup: cross-server leak paths, poisoned descriptions, secrets in configs, proxy bypasses, and a one-command fix
  • [Conformance](docs/CONFORMANCE.md) — aggrete conformance runs sixteen checks against the real components and maps them onto the OWASP MCP Top 10, OWASP Agentic Top 10, CoSAI and AIUC-1; --url runs the same scenarios black-box against any gateway (latest report)
  • [Roadmap](ROADMAP.md) — shipped, in progress, and planned
  • [Agent skill](skills/aggrete/SKILL.md) — teach Claude Code or any MCP client to set up and operate Aggrete: /plugin marketplace add aggrete/aggrete, or read skill://aggrete/SKILL.md from a running proxy

Honest limitations

  • Post-call denial redacts, it does not un-fetch — prefer rules decidable pre-call.
  • stdio identity is advisory — real enforcement needs streamable HTTP with OAuth and IdP-level blocking of direct connector grants, so the proxy is the only path.
  • Aggregation can only be narrowed, not solved — a user who spaces requests beyond the window, or paraphrases across systems the proxy doesn't front, gets through. This raises the cost and creates the audit trail; it isn't a ceiling.
  • Not a gateway — no multi-tenancy, token vault, or HA. For production, run it behind agentgateway, Docker's gateway or IBM ContextForge and let them call it (adapter mode).

mcp-name: io.github.aggrete/aggrete

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