Multidim

Structured thinking grids for AI agents: deterministic analysis frames, validation, learned traps

Connector by Cherridsaid · GitHub account verified by the MCP Registry

IndexedApache-2.0Local (stdio)★ 1

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/cherridsaid-multidim-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Structured thinking grids for AI agents: deterministic analysis frames, validation, learned traps

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 2 read · 1 write · 0 delete · 1 not yet classified
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Python package

Tools by what they do 4

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

multidim_contexts
multidim_validate

Write 1 · Create, change, send or run things.

multidim_learn

Not yet classified 1 · We could not tell from the name and description.

multidim_analyze

Secrets and settings it asks for

Other settings (environment variables or headers).

MULTIDIM_MCP_HOME

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

multidim_analyze
Build a hierarchical multidimensional grid (axes -> sub-lenses) adapted to the subject's context. Returns the grid to fill, not the analysis.
multidim_contexts
List every known context with its axes and sub-lenses.
multidim_learn
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).
multidim_validate
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).

Signals

Stars: 1
Forks: 0
Open issues: 0
Weekly downloads: 26
Last commit: Aug 26, 2026 (2 months ago)
Last release: Aug 26, 2026 (2 months ago)
Last package publish: Aug 26, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.Cherridsaid/multidim-mcp
Version: 0.2.0
Auth: No auth
Packages: pypi multidim-mcp
License: Apache-2.0
Repository: github.com/Cherridsaid/multidim-mcp
Website: github.com/Cherridsaid/multidim-mcp
First seen: Oct 24, 2026
Last checked: Oct 25, 2026
Source: Official MCP Registry github-graphql