io.github.cdeust/hypermnesia-mcp-viz
PYPI · HYPERMNESIA-MCP-VIZ
Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.
Available components
Last scanned (21 hours ago)
Scores higher than 93% 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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 20 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to cdeust/cortex-viz). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 55 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability55
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 587 tokens (~293/item across 2 items; 2 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 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 Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (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.
- 4 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +1
- Stability: 0.97 → pass security
- 30 Oct 26 +14
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.97 functional
- 28 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 27 Oct 26 0
- Package version: 2.8.0 → 3.2.0 functional
- 26 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 24 Oct 26 +1
- Stability: 0.97 → pass security
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 4 Nov 2026 · Analysed pypi/hypermnesia-mcp-viz@3.2.0
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 | cdeust/cortex-viz |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/cdeust/cortex-viz/.github/workflows/Release.yaml@refs/tags/v3.2.0 |
| Rekor log index | 2779360105 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:cf3c63b2e5cdc0ac28f5fc1d3d0c340505a5cfba79f8f2723daf523ccf897452 |
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 20 packages
| Packages resolved | 20 |
|---|---|
| Stale | 1 |
| 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_methodology_graph Get methodology graph ~189
Build the methodology map as JSON graph data {nodes, edges, meta} suitable for force-directed visualization. Nodes: domains, concepts, memories, entities. Edges: cross-domain bridges, co-activation strengths, semantic relationships. Output is capped (200 nodes / 500 edges, highest-quality first) so the payload stays embeddable in a single MCP response. Use this to feed a CUSTOM client visualizer. Distinct from `open_visualization` (launches the bundled browser UI on 127.0.0.1:3458, no JSON returned), `list_domains` (text-only domain overview), and `get_causal_chain` (entity-graph BFS, not the unified methodology map). Read-only on profiles.json + memories. Latency <100ms. Returns {nodes, edges, meta, truncated_nodes?, truncated_edges?}.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
open_visualization Open visualization ~347
Open the bundled Cortex visualization in the user's default browser — a force-directed neural graph combining methodology profiles, memory nodes, and the knowledge graph, plus the Wiki, Atlas, Emotion, Board, Pipeline, and Knowledge views. Starts the local HTTP server on 127.0.0.1:3458 if not already running and auto-shuts-down after 10 minutes of idle. Use this for visual exploration, screenshots, or presenting Cortex state. Distinct from `get_methodology_graph` (returns JSON for a CUSTOM client, no browser launched, no auxiliary views) and `list_domains` (text overview, no graph). Side effects: spawns an HTTP server process and opens a browser tab. The CALL itself returns in ~200 ms (server warmup + browser launch); the GRAPH build is lazy — kicked when the page polls /api/graph/progress (i.e. when the user opens the Graph view). First paint of the skeleton lands in ~1 s; the full graph fills in behind it and depends on the DB size (seconds for typical, ~1-3 min on a 100k+ memory store). Works WITHOUT Cortex too: when its PostgreSQL is unreachable (or CORTEX_VIZ_NO_DB=1 / --no-db is set) the server starts in no-DB mode — the Trace view is fully live from ~/.claude session logs + git, and the five DB-backed views (Graph, Brain, Knowledge, Wiki, Board) appear greyed out with an install pointer instead of erroring. Returns {url, message, dev_source, bootstrap, layout}.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | – | – | – |
| view | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the io.github.cdeust/hypermnesia-mcp-viz server?
io.github.cdeust/hypermnesia-mcp-viz runs locally as a PyPI package, launched with uvx hypermnesia-mcp-viz. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · hypermnesia-mcp-viz
claude mcp add cdeust-hypermnesia-mcp-viz -- uvx hypermnesia-mcp-viz
What is the io.github.cdeust/hypermnesia-mcp-viz server?
io.github.cdeust/hypermnesia-mcp-viz is listed in the public MCP registry as io.github.cdeust/hypermnesia-mcp-viz. Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs. This page covers its PyPI package (hypermnesia-mcp-viz).
Is the io.github.cdeust/hypermnesia-mcp-viz server safe to use?
io.github.cdeust/hypermnesia-mcp-viz scores 90 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. 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 io.github.cdeust/hypermnesia-mcp-viz server expose?
io.github.cdeust/hypermnesia-mcp-viz exposes 2 tools: open_visualization, get_methodology_graph. Their descriptions and schemas cost roughly 536 tokens of context every time the server is loaded.
Is the io.github.cdeust/hypermnesia-mcp-viz server still maintained?
io.github.cdeust/hypermnesia-mcp-viz is still listed as active in the MCP registry. We last reached this channel on 4 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 io.github.cdeust/hypermnesia-mcp-viz server under?
io.github.cdeust/hypermnesia-mcp-viz declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.