Multidim
PYPI · MULTIDIM-MCP
Structured thinking grids for AI agents: deterministic analysis frames, validation, learned traps
Available components
Last scanned (4 hours ago)
Scores higher than 93% of PyPI servers
Category AI and Machine Learning
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 setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to Cherridsaid/multidim-mcp). View diagnostics → Pass
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 70 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 453 tokens (~113/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management77
- Stability observed for 23 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage88
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 64% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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 +12
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.77 functional
- 4 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 3 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 30 Oct 26 0
- Stability: 0.97 → pass security
- 29 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.97 functional
- 27 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 26 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 23 Oct 26 0
- 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 5 Nov 2026 · Analysed pypi/multidim-mcp@0.2.0
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 | Cherridsaid/multidim-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/Cherridsaid/multidim-mcp/.github/workflows/publish.yml@refs/tags/v0.2.0 |
| Rekor log index | 2607933791 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:45883313c9c268b66a5b25a6af899e5a12c92d9eac07e2ca14a515ce2a15ae76 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| 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 →
multidim_analyze ~164
Build a hierarchical multidimensional grid (axes -> sub-lenses) adapted to the subject's context. Returns the grid to fill, not the analysis.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | – | Optional. Force a context; otherwise auto-detected. |
| depth | string | – | Optional, default deep. core=axes+short cross-talk; deep=+sub-lenses; full=+one targeted recursion. |
| format | string | – | Optional, default text (v1 grid). v2 = deterministic JSON frame of the v2 contract: frame_hash, mandatory questions, learned traps, required_sections, validation_rules, max_validation_rounds, optiona… |
| subject | string | yes | The subject to analyse. |
No output schema declared.
No examples provided.
multidim_contexts ~22
List every known context with its axes and sub-lenses.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
multidim_learn ~124
Create or enrich a context. Use only to promote a lens reusable beyond the current subject: deliberate promotion, never automatic. Persists to the dedicated store (the only write door).
| Name | Type | Req | Description |
|---|---|---|---|
| axes | array | – | – |
| context | string | yes | – |
| description | string | – | – |
| keywords | array | – | – |
| traps | array | – | Optional. Learned traps (paid lessons): each becomes a mandatory question injected into future v2 frames when a trigger matches the subject. Deduplicated by trap_id or statement; active:false disable… |
No output schema declared.
No examples provided.
multidim_validate ~143
Deterministic, STATELESS check of a filled analysis against its v2 frame (multidim_analyze format v2). Returns an ACCEPT / WARNING / REJECT verdict per section with actionable error codes. Never modifies the store, calls no LLM, never judges the truth of the content: structure, internal consistency and checkable requirements only. The calling LLM redoes ONLY the rejected sections, within the frame's max_validation_rounds (tracked by the caller).
| Name | Type | Req | Description |
|---|---|---|---|
| analysis | object | yes | The analysis filled by the calling LLM, section by section. |
| frame | object | yes | The exact JSON frame returned by multidim_analyze format v2. |
No output schema declared.
No examples provided.
How do I install the Multidim MCP server?
Multidim runs locally as a PyPI package, launched with uvx multidim-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 · multidim-mcp
claude mcp add cherridsaid-multidim-mcp -- uvx multidim-mcp
What is the Multidim MCP server?
Multidim is an MCP server listed in the public MCP registry as io.github.Cherridsaid/multidim-mcp. Structured thinking grids for AI agents: deterministic analysis frames, validation, learned traps. This page covers its PyPI package (multidim-mcp).
Is the Multidim MCP server safe to use?
Multidim scores 90 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 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 Multidim MCP server expose?
Multidim exposes 4 tools: multidim_analyze, multidim_contexts, multidim_validate, multidim_learn. Their descriptions and schemas cost roughly 453 tokens of context every time the server is loaded.
Is the Multidim MCP server still maintained?
Multidim 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 Multidim MCP server under?
Multidim 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.