Penthera
Offline, rule-based security checks for your repo, dependencies, AI agent config and local app.
Beschreibung vom Entwickler (englisches Original)
MCP server for Teramind's insider-threat/employee-monitoring API (read-only, metadata-only surface).
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
TERAMIND_ACCESS_TOKEN, TERAMIND_INSTANCE_URL, MCP_TRANSPORT, AUTH_MODE, LOG_LEVELAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"teramind": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TERAMIND_ACCESS_TOKEN",
"-e",
"TERAMIND_INSTANCE_URL",
"-e",
"MCP_TRANSPORT",
"-e",
"AUTH_MODE",
"-e",
"LOG_LEVEL",
"ghcr.io/wyre-ai/teramind-mcp:v1.0.1"
],
"env": {
"TERAMIND_ACCESS_TOKEN": "your-value",
"TERAMIND_INSTANCE_URL": "your-value",
"MCP_TRANSPORT": "your-value",
"AUTH_MODE": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add teramind --env TERAMIND_ACCESS_TOKEN=your-value --env TERAMIND_INSTANCE_URL=your-value --env MCP_TRANSPORT=your-value --env AUTH_MODE=your-value --env LOG_LEVEL=your-value -- docker run -i --rm -e TERAMIND_ACCESS_TOKEN -e TERAMIND_INSTANCE_URL -e MCP_TRANSPORT -e AUTH_MODE -e LOG_LEVEL ghcr.io/wyre-ai/teramind-mcp:v1.0.1Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"teramind": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TERAMIND_ACCESS_TOKEN",
"-e",
"TERAMIND_INSTANCE_URL",
"-e",
"MCP_TRANSPORT",
"-e",
"AUTH_MODE",
"-e",
"LOG_LEVEL",
"ghcr.io/wyre-ai/teramind-mcp:v1.0.1"
],
"env": {
"TERAMIND_ACCESS_TOKEN": "your-value",
"TERAMIND_INSTANCE_URL": "your-value",
"MCP_TRANSPORT": "your-value",
"AUTH_MODE": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"teramind": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TERAMIND_ACCESS_TOKEN",
"-e",
"TERAMIND_INSTANCE_URL",
"-e",
"MCP_TRANSPORT",
"-e",
"AUTH_MODE",
"-e",
"LOG_LEVEL",
"ghcr.io/wyre-ai/teramind-mcp:v1.0.1"
],
"env": {
"TERAMIND_ACCESS_TOKEN": "your-value",
"TERAMIND_INSTANCE_URL": "your-value",
"MCP_TRANSPORT": "your-value",
"AUTH_MODE": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
MCP_TRANSPORT envAUTH_MODE envLOG_LEVEL envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 9. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto WYRE-AI bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: TERAMIND_ACCESS_TOKEN, TERAMIND_INSTANCE_URL
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.1) kam vor 17 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Penthera, Draugr, Harbor
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Offline, rule-based security checks for your repo, dependencies, AI agent config and local app.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
Read-only access to Harbor: projects, artifacts, vulnerabilities, robots, replication, agent skills.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
MCP server for Teramind's insider-threat/employee-monitoring API - computer inventory, agent (user) inventory, departments, alerts, anomaly-rule and behavior-policy configuration, and monitoring-profile metadata - for AI assistants and the WYRE Conduit gateway.
This connector is PII-dense by construction (insider-threat/employee-monitoring product) and requires security review before merge - see Scope and Credential scope below.
Teramind authenticates with a JWT Access Token, self-generated per-account in the Teramind dashboard (User menu -> Access Tokens), sent as the x-access-token header. There is no OAuth flow.
Teramind's API is per-customer-instance (cloud or on-premise/private-cloud) - there is no shared multi-tenant base URL like most other connectors in this catalog. Every credential set also carries the customer's own instance URL (e.g. https://yourcompany.teramind.co). In gateway mode both arrive per-request via the X-Teramind-Access-Token / X-Teramind-Instance-Url headers; in local/stdio mode they're read once from TERAMIND_ACCESS_TOKEN / TERAMIND_INSTANCE_URL.
| Env var | Description | |||
|---|---|---|---|---|
TERAMIND_ACCESS_TOKEN | JWT access token issued by the Teramind dashboard's Access Tokens menu. | |||
TERAMIND_INSTANCE_URL | The customer's Teramind instance base URL, e.g. https://yourcompany.teramind.co. | |||
MCP_TRANSPORT | stdio (default) or http. | |||
AUTH_MODE | env (default, reads the vars above) or gateway (credentials arrive per-request via X-Teramind-Access-Token / X-Teramind-Instance-Url, injected by the Conduit gateway). | |||
CONDUIT_S2S_SECRET | When set, the HTTP transport requires a valid X-Gateway-S2S header (Conduit sidecar auth) on every /mcp request. | |||
LOG_LEVEL | debug \ | info (default) \ | warn \ | error. |
teramind_list_computers - list monitored computers (hostname, FQDN, MAC/IP, OS, monitoring status).teramind_get_computer - get full detail for a single computer.teramind_list_agents - list monitored agents (Teramind's term for a monitored employee/user identity): id, name, email, avatar, online status.teramind_get_agent - get full detail for a single agent.teramind_list_departments - list departments (org-structure metadata).teramind_get_department - get full detail for a single department.teramind_list_alerts - list fired rule-violation events in a time window, optionally filtered by agent/computer/department.teramind_list_anomaly_rules - list configured ML-based anomaly-detection rules (type, risk quotient, trigger conditions).teramind_get_anomaly_rule - get full detail for a single anomaly rule.teramind_list_anomaly_rule_tags - list the tags available to categorize anomaly rules.teramind_list_behavior_policies - list behavior policies (what activity type each policy watches and its match conditions).teramind_get_behavior_policy - get full detail for a single behavior policy.teramind_list_behavior_policy_groups - list behavior policy groups (the containers that organize behavior policies).teramind_get_behavior_policy_group - get full detail for a single behavior policy group.teramind_list_monitoring_profiles - list monitoring profiles (which data types are configured to be captured, and for whom).teramind_get_account - get the authenticated account's own settings (credential sanity check).This is a deliberately narrow, read-only v1 surface, scoped MORE conservatively than this catalog's usual bar given the sensitivity of an insider-threat/employee-monitoring product. Teramind's documented API (fetched directly from its published Postman collection, apidoc.dev.teramind.co) has 239 operations across dozens of product areas (monitoring, BI reporting, time tracking, scheduling, productivity classification, LDAP, task management, scheduling). This connector implements 16: literal HTTP GET reads covering only computer/user/session inventory, department metadata, and rule/alert configuration. Every tool is classified isAdmin: true in the Conduit gateway regardless of verb, given the sensitivity of employee-monitoring data.
No literal `GET` endpoint exists for session inventory. Teramind's session data (Sessions report, Login session BI grid) is only reachable through POST query/grid-style endpoints, not a plain resource GET - documented here as a finding, not fabricated as a tool. Session data is out of this connector's v1 scope as a consequence, not a separate exclusion decision.
GETPer this connector's scope boundary, the distinction is: metadata about monitoring (who is monitored, when, what rule fired) is in scope; the actual captured content of what was monitored, or a mechanism to obtain a live credential, is not, regardless of read/write verb.
| Endpoint | Rationale |
|---|---|
GET /tm-api/agent/:id/avatar/:scale | Returns the agent's avatar/headshot image - biometric-adjacent photo content. |
GET /tm-api/activity/email/:id/info | Email-activity metadata (participants/subject) - content-adjacent; excluded alongside its two siblings below rather than judged separately. |
GET /tm-api/activity/email/:id/body-html-document | Returns the full captured email body as rendered HTML. Raw captured content. |
GET /tm-api/activity/email/:id/body | Returns the full captured email body. Raw captured content. |
GET /tm-api/player/settings | Session-recording player/playback settings for a specific agent+computer. |
GET /tm-api/player-tags | Annotations/bookmarks tied to recorded-session timelines. |
GET /tm-api/player-tags/timeline | Timeline tags for a specific agent/computer's recorded sessions over a period. |
GET /tm-api/player/export-video/status/:id | Status of a screen-recording video export job. |
GET /tm-api/player/available-video-data | Enumerates which recorded video segments exist for a computer/period - an inventory of available screen recordings. |
GET /tm-api/report/export/download/:id | Generic report-export download - the export could be of ANY report type this API supports, including keystrokes, emails, instant messages, or video, so it is excluded as a class rather than judged per export. |
GET /tm-api/report/export/status | Status of a report-export job - same generic content-bearing concern as the download endpoint above. |
GET /tm-api/short-token | Mints a new short-lived, live access token. Credential issuance, not content - held to the same bar as a credential-return endpoint in every other connector in this catalog. |
GET /tm-api/token | Lists the account's active JWT token IDs - credential/session-management data. |
No GET endpoint anywhere in Teramind's documented API returns raw keystroke logs, chat/IM content, printed-document content, or social-media activity content - those are exclusively reachable through the POST /tm-api/report/*/grid and POST /tm-api/wip/tma-query (BI) families, which this connector excludes as a category below. This connector's `GET`-only scope therefore rules out keystroke/screenshot/chat-content exposure by construction, not merely by the per-endpoint judgment calls above - see Credential scope for what this claim does and does not cover.
| Category | Why excluded |
|---|---|
| Activities (aggregated activity) | Activity/productivity data, not inventory or rule/alert metadata. |
| BI / BI Filter (37 ops) | All POST query/chart endpoints; several return captured content (keystrokes, emails, IM, social media, printed documents, web search, console commands). |
| Reports / Report settings / Reports batch (~55 ops) | All POST grid/settings endpoints; several return captured content (keystrokes, emails, IM, printing, social media, console commands, video export). |
| Video export (remaining 2 ops) | POST write actions that generate exports of screen-recording content. |
| Time Tracking Reports, Time tracker tasks, Tasks, Schedule | Employee clock-in/task/shift-scheduling features, unrelated to monitoring inventory or rule/alert data. |
| LDAP | Directory-service connection config - out of scope, and a plausible vector for exposing bind-account details even as a plain read. |
| SMTP, Ingestion | Single POST write actions (send test email, create VoIP events); no read surface. |
| Shared lists | Rule-input datasets (e.g. keyword/URL watchlists referenced by rules) of ambiguous sensitivity - excluded as a judgment call rather than included by default. |
Productivity Profile, instance/tma-categories | Productivity-classification taxonomy - arguably rule-adjacent, but not named in this connector's scope; excluded to stay tight rather than included as a stretch. |
instance/tma-state, time, license/usage | Generic utility/status endpoints, none of which fit computer/user/session inventory or rule/alert data. |
Every POST/PUT/DELETE/PATCH on Agent, Computer, Department, Behavior Policy, Anomaly Rule, Authorization, Monitoring Profile | Write, provisioning, enable/disable-monitoring, or account-mutation operations. Never implemented, regardless of verb. |
| Anomaly-rule / behavior-policy templates, tags-and-misc bundle, demo policy | Catalogs for AUTHORING new rules, not this org's actual configured monitoring - out of scope for a read-only inventory connector (teramind_list_anomaly_rule_tags is the one exception kept, as a simple, low-risk taxonomy lookup directly useful for interpreting teramind_list_anomaly_rules output). |
They can be added as a follow-up if there's demand, after a deliberate scope decision - not by default.
GET /tm-api/v1/agents[/:id] supports an optional fields query parameter that can return salary_type and default_wage (compensation data) and ldap_attrs (raw directory attributes) - HR/PII data well beyond "who is monitored." This connector's `client.ts` never passes that parameter, so only the default identity fields (agent_id, name, email_address, avatar, online) are ever returned, regardless of what a caller requests through the tool's input schema (there is no fields parameter exposed on teramind_list_agents / teramind_get_agent at all).
teramind_list_alerts is squarely in this connector's named scope ("rule/alert data"), and its response shape is documented by Teramind to include description/caption/values fields describing why a rule fired. Depending on the rule type, those fields may carry a short excerpt of the triggering context (e.g. a matched keyword, or a visited URL) rather than pure metadata - this is passed through as Teramind returns it, unmodified. This was judged in-scope because alerts are explicitly named in this connector's scope and the excerpt (if present) is bounded to what a human already configured a rule to flag, not raw unfiltered activity capture - but it is flagged here explicitly, per this task's instruction, rather than decided unilaterally as a closed question.
This is the single most important finding in this README. Two claims, deliberately kept at different confidence levels:
(1) STRUCTURALLY VERIFIED - this connector's own code never calls
Nur der Anfang wird gezeigt; den Rest findest du im Repo