Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
Nothing to run from here
In Memoria is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
97/100
trust score
11
downloads a day
local
runs on your machine
399
downloads in 30d
What it does
Persistent codebase intelligence that gives AI assistants memory across sessions
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user in-memoria-mcp '--' npx -y in-memoria
# 2 — ask your agent for something these tools do
# auto_learn_if_needed, get_learning_status, quick_setup and 12 more
In Memoria costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
IMAll 1 server
in-memoria1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts In Memoria as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user in-memoria-mcp '--' npx -y in-memoriaReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it asks of you
Nothing is required, but it can take OPENAI_API_KEY (Optional OpenAI API key for embeddings (falls back to local transformers.js)) if you want to set it.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
15 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Automatically learn from codebase if intelligence data is missing or stale. Call this first before using other In-Memoria tools - it\
No parameter schema on file.
Get the current learning/intelligence status of the codebase
No parameter schema on file.
Perform quick setup and learning for immediate use by AI agents
No parameter schema on file.
Search for code-level symbols (variables, functions, classes) by name and see their relationships, usage patterns, and evolution. Use this to find where a specific function/class is defined, how it\
No parameter schema on file.
Get coding pattern recommendations learned from this codebase. Use this when implementing new features to follow existing patterns (e.g.,
No parameter schema on file.
Find which files to modify for a task using intelligent file routing. Use this when the user asks
No parameter schema on file.
Get patterns and conventions learned from this codebase\
No parameter schema on file.
Get instant project blueprint - eliminates cold start exploration by providing tech stack, entry points, key directories, and architecture overview
No parameter schema on file.
Get comprehensive system status including intelligence data, performance metrics, and health indicators
No parameter schema on file.
Get detailed metrics about the intelligence database and learning state
No parameter schema on file.
Get performance metrics including database size, query times, and resource usage
No parameter schema on file.
Verify In-Memoria setup and configuration for a project. Checks database accessibility, project structure, and API keys.
No parameter schema on file.
One-time analysis of a specific file or directory. Returns AST structure, complexity metrics, and detected patterns for that path only. For project-wide understanding, use get_project_blueprint instead (faster, uses learned intelligence). Use this for deep-dive analysis of a specific file you\
No parameter schema on file.
Search for code by text matching or patterns. Use
No parameter schema on file.
Generate intelligent documentation for the codebase
No parameter schema on file.
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install In Memoria or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 97 / 100
Release 0.6.0 · scanned 14 Oct 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score99
Client score97
Findings3 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationnone
Surface digesta41b92457a00a3b778da4e751663f67b60e3f3d760dc8f4b7adba363bf8708d9
Score vectorthreat 99 → client 97
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | none | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read | −2 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfacenot available
Implementation sourceread
Package metadataread
Live transportnot available
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
No tool surface was enumerated, so there is nothing to attribute a capability to.
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digesta41b92457a00a3b7
Scanned2026-10-14
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.6.0. Pin a release below and the command asks for exactly that one.
0.6.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish In Memoria can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.