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Thalovant MCP

by thalovantversion 0.7.1i★ –iRuns on your computer
Registry nameio.github.thalovant/thalovant-mcp

Install

Overview

Description from the maker (original English)

Connect MCP clients to Thalovant control-plane and hub runtime APIs over stdio or Streamable HTTP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "thalovant": {
      "command": "npx",
      "args": [
        "-y",
        "@thalovant/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add thalovant -- npx -y @thalovant/mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "thalovant": {
      "command": "npx",
      "args": [
        "-y",
        "@thalovant/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "thalovant": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@thalovant/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account thalovant, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18372 servers in this category
  • Published to the registry more recently than 98% of the other 18372 servers in this category
  • Basic checks equal to or better than 100% of the other 18372 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Thalovant MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.1) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, A1RO — Irish employment tools

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Last Edit: Claude Fable 5.1 - 2026-11-06 - Motive: Say what the 409 skill_unavailable_licensing and memory_limit refusals get as hints (0.7.1).

Thalovant MCP Server

Public-ready MCP server for Thalovant control-plane and hub runtime APIs.

It uses the official Thalovant Node.js SDK and the production MCP TypeScript SDK over stdio and Streamable HTTP, so it works with local MCP hosts such as Claude Desktop, Codex, Cursor, and remote MCP clients.

What It Includes

  • stdio transport for local agents.
  • Streamable HTTP transport at /mcp for remote agents.
  • OAuth-style protected resource metadata at /.well-known/oauth-protected-resource.
  • Static bearer tokens for simple/private deployments.
  • JWT/JWKS and OAuth token introspection for production remote deployments.
  • Per-principal Thalovant credentials and tool policy.
  • Chat app tools: connectors, bridges and their status in words, pause and resume, chats, test messages and the plan's allowance. Bot tokens stay in the console.
  • Host/origin validation, CORS, rate limiting, body limits, secure headers, and session binding.
  • Optional resumability event storage and JSONL audit logs.
  • Docker, Compose, Kubernetes, CI, npm package metadata, and MCP registry server.json.

Why TypeScript

Thalovant publishes SDKs for Python, Node.js, Go, and Rust. This server uses Node.js because @thalovant/sdk directly exposes the Thalovant control plane, identity loading, WSS/HTTPS/MQTT runtime clients, memory, analytics, and context helpers, while @modelcontextprotocol/sdk is the best-supported path for cross-agent stdio and Streamable HTTP servers.

Install

Run the published package with npx -y @thalovant/mcp-server, or build it from a checkout:

npm install

npm run build

Node.js 20 or newer is required.

Control-Plane Auth

Public hub discovery does not need Thalovant credentials. Private control-plane tools and runtime hub tools read credentials only from the MCP server environment or server-side principal credential files. Do not pass API tokens or passwords through chat or tool arguments.

The server selects control-plane auth in this order:

  1. THALOVANT_API_TOKEN — a scoped Thalovant API token. Recommended.
  2. THALOVANT_ACCESS_TOKEN — a pre-issued session access token.
  3. THALOVANT_EMAIL + THALOVANT_PASSWORD — interactive-account login fallback.

When a token is set, the server never calls the login endpoint. thalovant_config_status reports the active mode as controlPlaneAuthMode without revealing token values.

With none of these configured, a person can sign the server in through the browser instead: see Device Sign-In. The token that sign-in mints is used only when nothing above is configured.

Device Sign-In

A tool call cannot wait for a person, so the device flow (RFC 8628) is two tools:

  1. thalovant_begin_device_login with optional scopes (an empty list, like none, asks for the API's default), clientName and clientId answers loginId, userCode, verificationUri, verificationUriComplete, interval and expiresIn. Show the person the URL and the code. clientId signs in as a registered app, thalovant-home-assistant for Home Assistant: the approval page shows the platform's name for it as verified, and approving it again replaces the token it already holds. An id the API does not know is refused (400 unknown_client).
  2. thalovant_poll_device_login with that loginId asks once. outcome is pending (poll again after interval seconds, already five seconds longer for good if the API asked to slow down), approved (with tokenId, scopes and expiresAt), expired or denied.

The device code and the token never reach the model: the server keeps both, bound to the principal that began the sign-in, for the life of the process. Once approved, every control-plane tool for that principal uses the token when no credential is configured. thalovant_revoke_device_login signs out: it revokes that token (a token may always revoke itself, and one already revoked counts as revoked) and forgets it; signing out again answers alreadyRevoked without a request, and configured tokens are never touched. A sign-in reaches only the configured API origin (THALOVANT_API_URL, or the default), since the verification URL it answers with is shown to a person. A Home Assistant link asks for hubs:read, clients:read and clients:write, which is also all a Free plan can approve.

API Tokens (Recommended For AI Agents And CI)

Scoped API tokens are the right credential for AI and automation use: they are minted from the Thalovant dashboard (or through the device flow), carry only the scopes you grant, can be revoked individually, and never involve your account password or MFA. Tokens start with tvpat_.

export THALOVANT_API_TOKEN="tvpat_..."

export THALOVANT_API_URL="https://api.thalovant.com"

npm start

Minimum scopes for the full control-plane tool surface:

ScopeUsed by
hubs:readthalovant_list_hubs, thalovant_get_hub, thalovant_get_analytics_overview, thalovant_list_marketplace_skills, thalovant_list_runtime_groups, thalovant_get_runtime_group, thalovant_get_runtime_group_config, the guarded merge read in thalovant_update_runtime_group_config, the hub lookup inside thalovant_create_client_identity, and the chat app reads (thalovant_list_chat_app_connectors, thalovant_get_bridge_networks, thalovant_list_bridges, thalovant_get_bridge)
hubs:inspectthalovant_get_hub_runtime_capabilities, thalovant_list_runtime_group_marketplace, thalovant_list_runtime_group_inventory, thalovant_list_hub_skills, thalovant_list_hub_skill_history
hubs:writeAll hub and runtime-group provisioning: thalovant_create_hub, thalovant_update_hub, thalovant_release_hub, thalovant_create_runtime_group, thalovant_update_runtime_group, thalovant_update_runtime_group_config, thalovant_release_runtime_group, thalovant_install_runtime_group_skill, thalovant_uninstall_runtime_group_skill, the per-hub thalovant_install_hub_skill, thalovant_update_hub_skill, thalovant_remove_hub_skill, the hub rating tools, the chat app writes (thalovant_pause_bridge, thalovant_resume_bridge, thalovant_update_bridge, thalovant_send_bridge_test_message), thalovant_list_bridge_chats (it changes nothing but asks the chat network, so the API serves it only to hubs:write and a paid plan), and the opt-in delete tools
clients:writethalovant_create_client_identity (POST /v1/clients) and the opt-in thalovant_delete_client
memory:readthalovant_list_memory_items, thalovant_get_memory_summary, thalovant_get_memory_item
memory:writethalovant_create_memory_item, thalovant_update_memory_item, thalovant_delete_memory_item

The hub scopes imply one another: hubs:write grants hubs:read, which grants hubs:inspect and hubs:preview. Minting a token with hubs:read is therefore enough for every discovery tool in the table above.

Scope is not the whole story for provisioning. Every hub and runtime-group write also requires a paid plan, and the API checks scope *before* the plan, so the two failure modes are ordered:

  • A token missing the scope fails 403 Insufficient scopes. Free-plan API tokens are capped at hubs:read, clients:read, and clients:write, so on the free tier provisioning fails with this 403 and never reaches the 402.
  • A correctly scoped token on a free plan fails 402 API access requires a paid plan.
  • thalovant_install_runtime_group_skill can fail with a second, distinct 402, This skill requires paid marketplace access for the tenant plan., when the plan is paid but does not include access_tier: paid catalog entries.

Discovery is deliberately not paid-gated: a free-tier token can browse the marketplace catalog and set hub ratings, but cannot install skills or provision hubs. Use thalovant_list_runtime_group_marketplace before installing — it reports installable, purchase_required, and access_message per skill, which turns an opaque 402 into a decision you can make up front.

Grant fewer scopes for narrower deployments: a read-only assistant needs only hubs:read and memory:read, and a discovery-only agent that browses skills but never provisions needs hubs:read alone. thalovant_get_analytics_overview with admin: true additionally requires an admin account with admin:analytics, which API tokens for regular use should not carry. Runtime hub tools (thalovant_ask, thalovant_send_action, and friends) use Thalovant client identities, not control-plane tokens.

Hub Etags

thalovant_update_hub and thalovant_delete_hub use optimistic locking and require the hub's current etag, sent as If-Match. The etag is only available in the body of the hub resource — the API sends no ETag response header — so an agent must call thalovant_get_hub first and pass the etag field from that response. A missing or stale value fails 412 ETag mismatch and changes nothing; re-fetch and retry. name, namespace, and domain are immutable after creation, so thalovant_update_hub does not accept them at all; send only the fields you are changing rather than round-tripping a whole hub resource. Runtime-group writes do not use etags.

Hub Skills

thalovant_list_hub_skills, thalovant_install_hub_skill, thalovant_update_hub_skill, and thalovant_remove_hub_skill select a hub's attached runtime group; all hubs sharing it are affected. A hub can start with no skills at all and gain them one at a time; a change applies live on the hub in about 15 seconds with no restart. hubId must be the hub UUID — the authenticated hub routes reject slugs.

thalovant_list_hub_skills returns the whole GET /v1/hubs/{hub_id}/skills envelope: hub_id, runtime_group_id, observed_at, source, the runtime's phase and message, and data, one row per skill (possibly empty) with skill, title, marketplace_skill_id, package_name, source_type, install_source, version, version_pin, installed_version, observed_version, previous_version, latest_version, available_version, update_available, changelog, active, state, the runtime's phase, message and last error, and last_transition_at. state is one of pending, installed, failed, removing, drifted, quarantined, or unmanaged; a change in progress shows as pending.

Each write answers 202 with operation_id, hub_id, runtime_group_id, skill, version (null for a removal), previous_version, and state (installing, updating, or removing); pass wait: true to poll that operation every 2 s until it converges (installed, or removed for a removal; a failed or timed_out operation raises an error carrying its error_message), with a 120 s default timeoutMs, or follow it yourself with thalovant_get_operation. Installing a skill that is already installed at another version performs an update; the same version fails 409 with code skill_version_already_installed. A hub with no runtime group fails 404 with code hub_without_runtime_group (a plain 404 means an unknown hub or a skill that is not installed), and an unresolvable latest or an invalid version fails 422. Errors are RFC 7807 problem bodies; the tool error keeps the short message, which appends the root code in parentheses, for example Thalovant API request failed with HTTP 409: Skill version already installed. (skill_version_already_installed), and then the code and the body's other fields (see Tool Errors). A skill the store does not install for licensing reasons (YouTube, YouTube Music, Spotify, SoundCloud and Bandcamp: the service's

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