Local MCP capabilities provider for Expo
Teramind 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.
What it does
MCP server for Teramind's insider-threat/employee-monitoring API (read-only, metadata-only surface).
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --env 'TERAMIND_ACCESS_TOKEN=${TERAMIND_ACCESS_TOKEN}' --env 'TERAMIND_INSTANCE_URL=${TERAMIND_INSTANCE_URL}' --transport stdio teramind-mcp '--' docker run -i --rm -e MCP_TRANSPORT=stdio -e TERAMIND_ACCESS_TOKEN -e TERAMIND_INSTANCE_URL ghcr.io/wyre-ai/teramind-mcp:v1.0.0
# 2 — ask your agent for something these tools do
# teramind_get_account, teramind_get_agent, teramind_list_anomaly_rules and 9 more
It needs TERAMIND_ACCESS_TOKEN, TERAMIND_INSTANCE_URL: this reads them from your environment, so export them first.
Teramind costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
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 Teramind 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. It has not been scanned here, so read the surface, and its source, before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Docker installed and running. Only the required variables are passed into the container. To set an optional one (AUTH_MODE, LOG_LEVEL), add -e NAME before the image name and give it a value in the entry’s env: an unset -e would clear the default the image sets. Claude Code registers it in one command; --scope user makes it available in every project. Claude Code reads TERAMIND_ACCESS_TOKEN (Teramind Access Token (JWT, generated in the dashboard's Access Tokens menu). See README's Credential scope section before minting one), TERAMIND_INSTANCE_URL (Per-instance Teramind dashboard base URL, e.g. https://yourcompany.teramind.co) from your environment each time it starts the server, so the value stays out of its config: export them in your shell profile (macOS, Linux), or run setx TERAMIND_ACCESS_TOKEN …, setx TERAMIND_INSTANCE_URL … and open a new terminal (Windows). The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user --env 'TERAMIND_ACCESS_TOKEN=${TERAMIND_ACCESS_TOKEN}' --env 'TERAMIND_INSTANCE_URL=${TERAMIND_INSTANCE_URL}' --transport stdio teramind-mcp '--' docker run -i --rm -e MCP_TRANSPORT=stdio -e TERAMIND_ACCESS_TOKEN -e TERAMIND_INSTANCE_URL ghcr.io/wyre-ai/teramind-mcp:v1.0.0Reconnect, or start a new session, and the tools appear in the model’s tool list.
It reaches a system of yours, so it needs your own credential rather than the publisher’s: TERAMIND_ACCESS_TOKEN — Teramind Access Token (JWT, generated in the dashboard's Access Tokens menu). See README's Credential scope section before minting one.; TERAMIND_INSTANCE_URL — Per-instance Teramind dashboard base URL, e.g. https://yourcompany.teramind.co.. You set them in your own client’s config, on your machine — this marketplace never holds it.
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.
12 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.
Get the authenticated account
No parameter schema on file.
Get full detail for a single monitored agent (user). Requires an agent ID from teramind_list_agents. Same field restriction as teramind_list_agents - no compensation or LDAP attribute data.
No parameter schema on file.
List configured ML-based anomaly-detection rules (Teramind UI:
No parameter schema on file.
Get full detail for a single anomaly rule. Requires a rule ID from teramind_list_anomaly_rules.
No parameter schema on file.
List the tags available to categorize anomaly rules.
No parameter schema on file.
List behavior policies (Teramind UI:
No parameter schema on file.
Get full detail for a single behavior policy. Requires a policy ID from teramind_list_behavior_policies.
No parameter schema on file.
List behavior policy groups (Teramind UI:
No parameter schema on file.
Get full detail for a single behavior policy group. Requires a group ID from teramind_list_behavior_policy_groups.
No parameter schema on file.
Get full detail for a single monitored computer. Requires a computer ID from teramind_list_computers.
No parameter schema on file.
List departments configured in Teramind - org-structure metadata used to group agents/computers. Department IDs from this response are usable as filters on teramind_list_alerts.
No parameter schema on file.
Get full detail for a single department. Requires a department ID from teramind_list_departments.
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source is public; its licence metadata reads NOASSERTION rather than naming a licence
- 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 Teramind or to call it, at any volume.
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.
This listing ships as a container image. The scanner reads packages on npm and PyPI and public source; an image is neither, so there is no grade here — not a withheld one, an unmeasured one.
Release history
It installs from a container image rather than from a versioned package, so the command cannot be pinned to a release. The history below is for reading; the current release on file is v1.0.0.
No release note was published with this version.
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.
Any signed-in account that does not publish Teramind can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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.