ai.trags/poppy
PYPI · POPPY-MEMORY
Developer memory CLI and MCP server. Remember decisions, preferences, and lessons locally.
Available components
Last scanned (6 hours ago)
Scores higher than 82% of PyPI servers
Category Memory and Knowledge
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 → Why this is hard to score →
Supply Chain Security99
- No malware found by supply-chain analysis.Pass
- Known CVEs were checked across the 88 of 90 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- Dependency health was assessed across the 88 of 90 dependencies we could resolve, so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to trags-garden/poppy). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 2 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability67
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 914 tokens (~114/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management33
- Stability observed for 10 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "forget" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
- 5 Nov 26 +20
- Malware scan: unverified → pass ▲ security
- Stability: unverified → 0.33 ▲ functional
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 30 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 27 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 26 Oct 26 61
First indexed and scored.
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 5 Nov 2026 · Analysed pypi/poppy-memory@0.3.6
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | trags-garden/poppy |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/trags-garden/poppy/.github/workflows/publish.yml@refs/tags/v0.3.6 |
| Rekor log index | 3467883184 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:5227047725ec935f5ee6bbeed3aecb8b3353764b55f4b7933272726ccebea4d9 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 88 packages
| Packages resolved | 88 |
|---|---|
| Stale | 12 |
| No linked repository | 2 |
| Tree resolution | Partial |
The dependency tree was only partially resolved, so these counts may be incomplete.
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
consolidate ~96
Store learnings from a coding session. Call at session end to persist what you learned. Args: session_summary: Brief summary of what was done in the session (stored as a 'summary' memory) facts: List of facts, decisions, preferences, or lessons learned project: Project name (optional, for scoping)
| Name | Type | Req | Description |
|---|---|---|---|
| facts | array | yes | – |
| project | – | – | – |
| session_summary | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
context ~62
Get the top-N most recent memories for a project. Useful for session-start priming. Args: project: Scope to a specific project (optional) limit: Max memories to return (default 20)
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| project | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
edit ~198
Edit a memory in place. Preserves id, created_at, and source. Bumps updated_at. Pass only the fields you want to change. clear_project / clear_expiry explicitly null those fields. Args: id: Memory ID to edit content: New content (optional) memory_type: New type: fact, decision, preference, lesson, summary, context (optional) project: New project name (optional) clear_project: Set project to null ttl: Reset expiry to a duration (e.g. "30d") expires_at: Reset expiry to an ISO-8601 datetime clear_expiry: Remove expiry: make memory permanent
| Name | Type | Req | Description |
|---|---|---|---|
| clear_expiry | boolean | – | – |
| clear_project | boolean | – | – |
| content | – | – | – |
| expires_at | – | – | – |
| id | string | yes | – |
| memory_type | – | – | – |
| project | – | – | – |
| ttl | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
forget ~31
Delete a memory by ID. Args: id: The memory ID to delete
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recall ~127
Search memories by natural language query. Args: query: What to search for project: Scope to a specific project (optional) memory_type: Filter by type: fact, decision, preference, lesson (optional) since: Only memories created at or after this point: ISO date (2026-06-01) or duration (7d, 1w3d) limit: Max results (default 10)
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| memory_type | – | – | – |
| project | – | – | – |
| query | string | yes | – |
| since | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recall_full ~46
Fetch full content for a batch of memory IDs returned by recall_index. Always batch. Args: ids: Memory IDs from a prior recall_index call
| Name | Type | Req | Description |
|---|---|---|---|
| ids | array | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recall_index ~95
Cheap first pass: returns IDs and snippets only. Use recall_full to fetch full content for relevant IDs. Args: query: What to search for project: Scope to a specific project (optional) memory_type: Filter by type (optional) limit: Max results (default 20)
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| memory_type | – | – | – |
| project | – | – | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
remember ~259
Store a memory. Use for facts, decisions, preferences, or lessons learned during coding. Args: content: The memory to store memory_type: One of: fact, decision, preference, lesson, summary, context project: Project name (optional, for scoping) related_to: IDs of related memories (optional) ttl: Expire after duration (e.g. "30d", "12h", "1w3d") for time-sensitive facts expires_at: ISO-8601 datetime to expire at (mutually exclusive with ttl) supersedes: ID of a memory this one replaces; the old memory is tombstoned (restorable for 7 days) check_conflicts: Dry-run LLM conflict detection only; returns candidates, writes nothing auto_supersede: If a high-confidence conflict (>=0.85) is found, supersede that memory
| Name | Type | Req | Description |
|---|---|---|---|
| auto_supersede | boolean | – | – |
| check_conflicts | boolean | – | – |
| content | string | yes | – |
| expires_at | – | – | – |
| memory_type | string | – | – |
| project | – | – | – |
| related_to | – | – | – |
| supersedes | – | – | – |
| ttl | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the ai.trags/poppy MCP server?
ai.trags/poppy runs locally as a PyPI package, launched with uvx poppy-memory. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · poppy-memory
claude mcp add ai-trags-poppy -- uvx poppy-memory
What is the ai.trags/poppy MCP server?
ai.trags/poppy is an MCP server listed in the public MCP registry as ai.trags/poppy. Developer memory CLI and MCP server. Remember decisions, preferences, and lessons locally. This page covers its PyPI package (poppy-memory).
Is the ai.trags/poppy MCP server safe to use?
ai.trags/poppy scores 81 out of 100 on VerifyMCP. Its build provenance is signed and verified. 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 ai.trags/poppy MCP server expose?
ai.trags/poppy exposes 8 tools: remember, edit, recall, recall_index, recall_full, and 3 more. Their descriptions and schemas cost roughly 914 tokens of context every time the server is loaded.
Is the ai.trags/poppy MCP server still maintained?
ai.trags/poppy is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the ai.trags/poppy MCP server under?
ai.trags/poppy declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.