ChatCrystal
NPM · CHATCRYSTAL
Local-first AI PKM memory for coding conversations.
Available components
Last scanned (just now)
Scores higher than 97% of npm 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 Security94
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known medium-severity CVE affects glob 13.0.6, reached via @fastify/static > glob. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 80 of 295 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to ZengLiangYi/ChatCrystal). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 12 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability76
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 858 tokens (~122/item across 7 items; 7 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 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.
- 31 Oct 26 −1
- CVE-2026-118764 affects this package: medium ▼ security
- CVE-2026-118773 affects this package: medium ▼ security
- Known CVEs: pass → fail ▼ security
- 29 Oct 26 0
- Package version: 0.5.7 → 0.6.2 functional
- 27 Oct 26 0
- Stability: 0.97 → pass security
- 26 Oct 26 0
- Stability: pass → 0.97 functional
- 24 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 23 Oct 26 −12
- CVE-2026-107832 affects this package: medium ▼ security
- Malware scan: pass → unverified ▼ security
- CVE-2026-92081 no longer affects this package ▲ security
- Known CVEs: fail → pass ▲ security
- Package version: 0.6.1 → 0.6.2 functional
- 18 Oct 26 0
- Stability: 0.97 → pass security
- 17 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 npm/chatcrystal@0.6.2
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 | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | ZengLiangYi/ChatCrystal |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/ZengLiangYi/ChatCrystal/.github/workflows/release.yml@refs/tags/npm-v0.6.2 |
| Rekor log index | 3415897808 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:8a2b7b3b56a819e08b3e05423e9cba21f714184e6d396a02b031767f5dc0c163c819d5ce476fa8dd99b2dfa068eb5445af30e185a789ccc93a09ac0ee |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 2 findings
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-3g3m-2fjr-6pw4 | CVE-2026-118773 | medium | yes | |
| GHSA-g3hv-75wg-m249 | CVE-2026-118764 | medium | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 295 packages
| Packages resolved | 295 |
|---|---|
| Deprecated | 1 |
| Stale | 80 |
| Tree resolution | Complete |
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 →
get_note ~38
Get the full content of a note including title, summary, key conclusions, code snippets, and tags.
| Name | Type | Req | Description |
|---|---|---|---|
| id | number | yes | Note ID |
No output schema declared.
No examples provided.
get_relations ~38
Get related notes for a given note, including relationship type and confidence score.
| Name | Type | Req | Description |
|---|---|---|---|
| noteId | number | yes | Note ID to find relations for |
No output schema declared.
No examples provided.
list_notes ~145
List note summaries for browsing and narrowing the ChatCrystal knowledge base. Use this when you need paginated notes filtered by tag or title/summary keyword. Use search_knowledge instead for semantic relevance ranking, and get_note when you already have an id and need the full note body. Returns note metadata and summaries, not full note content.
| Name | Type | Req | Description |
|---|---|---|---|
| page | number | – | 1-based page number for paginated note summaries. Each page returns up to 20 notes. |
| search | string | – | Literal keyword filter applied to note title and summary; not semantic search. |
| tag | string | – | Exact tag name to filter notes by, for example "mcp" or "cursor". |
No output schema declared.
No examples provided.
recall_for_task ~183
Retrieve reusable task memories before starting substantive coding work. Use this at the beginning of implementation, debugging, migration, configuration, investigation, refactor, or optimization tasks to load project-scoped memories first and optional global lessons second. Use mode="debug" when the user reports an error, failing command, regression, or incident; include error_signatures and related_files when available. Use search_knowledge instead for ad hoc semantic note search that is not tied to the current task. This tool is read-only and returns ranked memories plus optional related-note context without writing anything.
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | – | Use task for normal work and debug when the task starts from an error, failing test, or incident. |
| options | object | – | Optional limits and relation expansion controls for recall results. |
| task | object | yes | Current task context used to retrieve relevant project and global memories. |
No output schema declared.
No examples provided.
search_knowledge ~46
Semantic search across your AI conversation knowledge base. Returns matching notes ranked by relevance.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Maximum number of results |
| query | string | yes | Search query text |
No output schema declared.
No examples provided.
validate_task_memory ~204
Dry-run validation for a candidate task memory before calling write_task_memory. Use this after meaningful work and before persisting a lesson to check whether the candidate is durable, specific, reusable, and shaped like a high-quality ChatCrystal note. It has no side effects and never writes to the knowledge base. Returns acceptance, rejection reason, warnings, and materialized note fields so agents can revise the candidate or skip weak work logs.
| Name | Type | Req | Description |
|---|---|---|---|
| memory | object | yes | Candidate ChatCrystal note content to validate or persist as reusable task memory. |
| mode | string | yes | Use auto for agent-generated writebacks and manual for explicit user-curated memories. |
| scope | string | – | Store as project memory by default; global is reserved for broadly reusable manual lessons. |
| source_run_key | string | – | Idempotency key for auto writebacks; required in auto mode to avoid duplicate memory receipts. |
| task | object | yes | Current task context used to scope, rank, and store memories. |
No output schema declared.
No examples provided.
write_task_memory ~204
Persist a task memory only when it can become a high-quality ChatCrystal note: specific title, concrete summary, meaningful key conclusions, and a durable reusable lesson such as a pitfall, fix, decision, pattern, or symptom-to-resolution mapping. Do not write one-time environment checks, version/status reports, ordinary progress logs, or vague robustness claims. Weak auto writebacks are skipped by core validation and recorded only as receipts.
| Name | Type | Req | Description |
|---|---|---|---|
| memory | object | yes | Candidate ChatCrystal note content to validate or persist as reusable task memory. |
| mode | string | yes | Use auto for agent-generated writebacks and manual for explicit user-curated memories. |
| scope | string | – | Store as project memory by default; global is reserved for broadly reusable manual lessons. |
| source_run_key | string | – | Idempotency key for auto writebacks; required in auto mode to avoid duplicate memory receipts. |
| task | object | yes | Current task context used to scope, rank, and store memories. |
No output schema declared.
No examples provided.
How do I install the ChatCrystal MCP server?
ChatCrystal runs locally as an npm package, launched with npx -y chatcrystal. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · chatcrystal
claude mcp add zengliangyi-chatcrystal -- npx -y chatcrystal
What is the ChatCrystal MCP server?
ChatCrystal is an MCP server listed in the public MCP registry as io.github.ZengLiangYi/chatcrystal. Local-first AI PKM memory for coding conversations. This page covers its npm package (chatcrystal).
Is the ChatCrystal MCP server safe to use?
ChatCrystal scores 94 out of 100 on VerifyMCP. We recorded 2 known advisories against it as of 5 November 2026. It declares no install or post-install scripts. 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 ChatCrystal MCP server expose?
ChatCrystal exposes 7 tools: search_knowledge, get_note, list_notes, get_relations, recall_for_task, and 2 more. Their descriptions and schemas cost roughly 858 tokens of context every time the server is loaded.
Is the ChatCrystal MCP server still maintained?
ChatCrystal 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 ChatCrystal MCP server under?
ChatCrystal 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.