Pack local or remote codebases into AI-friendly files that LLMs and coding agents can read or search
Nothing to run from here
Unisonlabs 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.
93/100
trust score
62
downloads in 30d
local
runs on your machine
23
tools declared
What it does
Model Context Protocol server for the Unison brain.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user unisonlabs-mcp '--' npx -y @unisonlabs/mcp
# 2 — ask your agent for something these tools do
# brain_context, brain_ingest, brain_remember and 20 more
Unisonlabs costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
UNAll 1 server
@unisonlabs1 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 Unisonlabs 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 unisonlabs-mcp '--' npx -y @unisonlabs/mcpReconnect, 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 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
23 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.
One-call recall: retrieve the most relevant memory for a natural-language query and get back a prompt-ready
No parameter schema on file.
Ingest documents into brain memory as extractable notes. For conversations and session logs, use brain_remember instead.
No parameter schema on file.
No parameter schema on file.
Search the Unison brain (hybrid keyword + semantic). Use before answering questions that may rely on the user
No parameter schema on file.
Read a single document from the Unison brain by its path.
No parameter schema on file.
Exact-substring/regex search over brain document bodies — the wiki
No parameter schema on file.
List the 1-hop neighbors of a document in the brain
No parameter schema on file.
List documents in the Unison brain under a path prefix.
No parameter schema on file.
No parameter schema on file.
Surgically edit a brain document in place: replace an exact substring (oldStr) with newStr. oldStr must match exactly once — add surrounding context to disambiguate. Cheaper and safer than rewriting the whole doc with brain_write.
No parameter schema on file.
Delete a document from the Unison brain by path. Use to clean up docs you created that are no longer needed (e.g. scratch or superseded notes). Irreversible.
No parameter schema on file.
Find a knowledge-graph entity (person, company, project, etc.) by name. Use when a name is mentioned and you need its id or context.
No parameter schema on file.
List the known facts about an entity (by entity id).
No parameter schema on file.
Record a new fact about an entity so it persists in the brain.
No parameter schema on file.
Show Unison brain health and document/entity/fact counts.
No parameter schema on file.
Create a new Unison account for an email with no browser/dashboard. Returns a working (unverified) API key — set it as UNISON_TOKEN. Then verify the emailed code via auth_verify to lift free-tier caps.
No parameter schema on file.
Verify the code emailed during provisioning (or key recovery). Makes the account durable; recovery codes also return a fresh API key.
No parameter schema on file.
Email a recovery code for an existing verified account (lost key / new machine). Complete it with auth_verify.
No parameter schema on file.
List the API keys for the authenticated account. Never returns key hashes. Requires UNISON_TOKEN.
No parameter schema on file.
Mint a new API key for the authenticated account. The token is returned ONCE — store it immediately. Requires UNISON_TOKEN.
No parameter schema on file.
Revoke one of the authenticated account
No parameter schema on file.
Invite an email address to the authenticated account
No parameter schema on file.
List all workspaces the authenticated account is a member of. Returns id, name, role, and whether each is the currently-active workspace. Requires UNISON_TOKEN.
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 Unisonlabs 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 93 / 100
Release 1.7.1 · scanned 15 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 score100
Client score93
Findings0 threat · 1 capability
Capabilityhigh
Coveragesource
Verificationrepo
Surface digestbf57a9ba60cc0920fe6d8810fac49f1bd06071e79345b2ba8fd160ec28075c35
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| 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 surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (23 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, 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. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| brain_context | no tags | |
| brain_ingest | no tags | |
| brain_remember | sensitive-source | sensitive-source: keyword "dump" |
| brain_search | no tags | |
| brain_get | untrusted-input | untrusted-input: handler fetches a URL taken from its input (client.get(path) at dist/index.js:434 |
| brain_grep | no tags | |
| brain_neighbors | no tags | |
| brain_list | no tags | |
| brain_write | no tags | |
| brain_edit | no tags | |
| brain_delete | external-sink | external-sink: handler sends an HTTP DELETE ( client.delete(path) at dist/index.js:480 |
| brain_resolve_entity | no tags | |
| brain_facts_about | no tags | |
| brain_record_fact | no tags | |
| brain_status | no tags | |
| auth_provision | no tags | |
| auth_verify | no tags | |
| auth_request_key | no tags | |
| auth_keys_list | no tags | |
| auth_keys_create | no tags | |
| auth_keys_revoke | no tags | |
| auth_invite | no tags | |
| auth_workspaces_list | no tags |
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.
brain_get → brain_remember → brain_delete
A cross-tool exfiltration chain exists: brain_get → brain_remember → brain_delete.
Supply chain and provenance
Integrityfirst-seen
Surface digestbf57a9ba60cc0920
Scanned2026-10-15
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 1.7.1. Pin a release below and the command asks for exactly that one.
1.7.1
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 Unisonlabs 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.