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Polypack Memory

PYPI · POLYPACK-MCP · SCANNED AUG 23

MCP server exposing Polypack as persistent adaptive memory

Available components

32 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security32
  • Malware scan not yet available for this package.Unverified
  • CVE check failed: a known high-severity CVE affects mcp 1.9.4, a direct dependency. A fixed version is available. View diagnostics → Fail
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 2 of 25 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability34
  • 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 893 tokens (~55/item across 16 items; 12 tools + 4 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Capabilities40
  • Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the Polypack Memory MCP server?

Polypack Memory runs locally as a PyPI package, launched with uvx polypack-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · polypack-mcp

# add to Claude Code
claude mcp add imattau-polypack-mcp -- uvx polypack-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "imattau-polypack-mcp": {
      "command": "uvx",
      "args": [
        "polypack-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "imattau-polypack-mcp": {
      "command": "uvx",
      "args": [
        "polypack-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add imattau-polypack-mcp -- uvx polypack-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "imattau-polypack-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "polypack-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add imattau-polypack-mcp --command uvx --arg polypack-mcp
# ~/.hermes/config.yaml
mcp_servers:
  imattau-polypack-mcp:
    command: "uvx"
    args: ["polypack-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "imattau-polypack-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "polypack-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add imattau-polypack-mcp -t stdio -c uvx -a polypack-mcp
// mcp.json
{
  "mcpServers": {
    "imattau-polypack-mcp": {
      "command": "uvx",
      "args": [
        "polypack-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 23 Aug 26 32

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 23 Aug 2026 · Analysed pypi/polypack-mcp@0.1.16

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta
Vulnerabilities 8 findings
ID CVE Severity Vector Fix available
GHSA-9h52-p55h-vw2f CVE-2025-66416 high yes
GHSA-j975-95f5-7wqh CVE-2025-53365 high yes
GHSA-jpw9-pfvf-9f58 CVE-2026-52869 high CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L yes
GHSA-vj7q-gjh5-988w CVE-2026-59950 high yes
PYSEC-2026-1617 CVE-2025-66416 none yes
PYSEC-2026-1618 CVE-2025-53365 none yes
PYSEC-2026-3482 CVE-2026-52869 high CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L yes
PYSEC-2026-3483 CVE-2026-59950 none yes
Dependencies 25 packages
Packages resolved 25
Stale 2
Tree resolution Complete
MCP tools · 12 exposed · ~872 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
graph_query ~89

Inspect graph neighbors/schema or perform an advanced edge operation. Prefer memory_link for normal memory relationships. Supported operations are neighbors, add_edge, schema, and relationship_diagnostics. RESPONDS_TO graph edges are authoritative; diagnostics identifies legacy provenance-only relationships.

NameTypeReqDescription
id
operationstringyes
source
target
type

No output schema declared.

No examples provided.

memory_consolidate ~56

Consolidate source memories into one durable higher-level memory.

NameTypeReqDescription
confidencenumber
contentstringyes
context
memory_classstring
source_idsarrayyes

No output schema declared.

No examples provided.

memory_context ~75

Return a working-memory set selected by activation and estimated-token budget. token_budget is an estimated-token budget. Each returned memory fits wholly within the remaining budget; budgets must be greater than zero.

NameTypeReqDescription
contextstringyes
limitinteger
strict_contextboolean
token_budget

No output schema declared.

No examples provided.

memory_feedback ~54

Record whether a retrieved memory helped this task. Call this after using a recalled memory when it was useful or misleading.

NameTypeReqDescription
agent_idstring
memory_idstringyes
usefulbooleanyes

No output schema declared.

No examples provided.

memory_link ~80

Connect two memories with an explicit graph relationship. Use RESPONDS_TO when a new handoff, verification, or fix addresses an earlier memory. Use memory_recall(include_neighbors=true) to retrieve linked memories with relationship metadata.

NameTypeReqDescription
relationshipstring
source_memory_idstringyes
target_memory_idstringyes

No output schema declared.

No examples provided.

memory_link_batch ~65

Connect multiple pairs of memories with explicit graph relationships in a single batch. Each item in the list should be a dict with 'source_memory_id', 'target_memory_id', and optional 'relationship' (defaults to 'RESPONDS_TO') keys.

NameTypeReqDescription
linksarrayyes

No output schema declared.

No examples provided.

memory_recall ~162

Search memories by text, context, activation, and confidence. Use this for a targeted question. Use memory_context to assemble working context. Context is soft by default; use strict_context=true for isolation. With include_neighbors=true, bounded graph neighbors are hydrated into the result. Filter relationships with edge_types such as RESPONDS_TO. The neighbor_limit bounds hydrated neighbors; limit remains the total result count. Metadata reports when additional neighbors were available.

NameTypeReqDescription
context
depthinteger
edge_types
include_neighborsboolean
limitinteger
neighbor_limitinteger
querystringyes
strict_contextboolean
token_budget

No output schema declared.

No examples provided.

memory_store ~94

Store durable project memory. Use procedural for preferences, conventions, and decisions; semantic for stable facts; episodic for events or task outcomes; and entity for named people, projects, or objects. Use a stable context for project memory.

NameTypeReqDescription
confidencenumber
contentstringyes
context
memory_classstring
metadata
provenance

No output schema declared.

No examples provided.

memory_store_batch ~63

Store multiple durable project memories in a single batch. Each item in the list should be a dict with 'content' and optional 'memory_class', 'context', 'confidence', 'provenance', and 'metadata' keys.

NameTypeReqDescription
memoriesarrayyes

No output schema declared.

No examples provided.

memory_supersede ~37

Replace an outdated fact while retaining its history.

NameTypeReqDescription
new_memory_idstringyes
old_memory_idstringyes

No output schema declared.

No examples provided.

memory_suppress ~37

Inhibit a stale or unhelpful memory without deleting it.

NameTypeReqDescription
amountnumber
memory_idstringyes

No output schema declared.

No examples provided.

memory_thread ~60

Walk the RESPONDS_TO chain from a starting memory ID and return the thread. Retrieves connected memories in both directions along RESPONDS_TO edges, returning them sorted chronologically.

NameTypeReqDescription
max_depthinteger
start_idstringyes

No output schema declared.

No examples provided.

Common questions

What is the Polypack Memory MCP server?

Polypack Memory is an MCP server listed in the public MCP registry as io.github.imattau/polypack-mcp. MCP server exposing Polypack as persistent adaptive memory. This page covers its PyPI package (polypack-mcp).

Is the Polypack Memory MCP server safe to use?

Polypack Memory scores 32 out of 100 on VerifyMCP. We recorded 8 known advisories against it as of 23 August 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Polypack Memory MCP server expose?

Polypack Memory exposes 12 tools: memory_store, memory_recall, memory_thread, memory_context, memory_feedback, and 7 more. Their descriptions and schemas cost roughly 872 tokens of context every time the server is loaded.

Is the Polypack Memory MCP server still maintained?

Polypack Memory is still listed as active in the MCP registry. We last reached this channel on 23 August 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.