Vexa
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Description from the maker (original English)
List LLM providers and run chat completions through the three.ws multi-provider router.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
THREE_WS_BASE, THREE_WS_API_KEY, THREE_WS_TIMEOUT_MSValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"brain": {
"command": "npx",
"args": [
"-y",
"@three-ws/brain-mcp"
],
"env": {
"THREE_WS_BASE": "your-value",
"THREE_WS_API_KEY": "your-value",
"THREE_WS_TIMEOUT_MS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add brain --env THREE_WS_BASE=your-value --env THREE_WS_API_KEY=your-value --env THREE_WS_TIMEOUT_MS=your-value -- npx -y @three-ws/brain-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"brain": {
"command": "npx",
"args": [
"-y",
"@three-ws/brain-mcp"
],
"env": {
"THREE_WS_BASE": "your-value",
"THREE_WS_API_KEY": "your-value",
"THREE_WS_TIMEOUT_MS": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"brain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@three-ws/brain-mcp"
],
"env": {
"THREE_WS_BASE": "your-value",
"THREE_WS_API_KEY": "your-value",
"THREE_WS_TIMEOUT_MS": "your-value"
}
}
}
}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.
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THREE_WS_BASE envTHREE_WS_TIMEOUT_MS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account nirholas, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: THREE_WS_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 27 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
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@three-ws/brain-mcp
Any model, one interface — discover LLM providers and run chat completions through the three.ws multi-provider router, from any AI agent.
A Model Context Protocol server that gives any AI assistant the three.ws multi-provider LLM router over stdio. Discover which models are available — Claude, the GPT-5.6 family, o3, Grok, Qwen, DeepSeek, NVIDIA Nemotron, IBM Granite, and more — and run a chat completion through whichever one fits, without wiring each vendor SDK yourself.
The router fronts every provider behind one endpoint and transparently falls back across mirrors and free tiers if the chosen model is briefly down. The free open-weight tiers (GPT-OSS 120B, NVIDIA NIM models) work with no key; the paid first-party flagships unlock with a three.ws API key.
npm install @three-ws/brain-mcp
Or run with npx (no install):
npx @three-ws/brain-mcp
Claude Code, one line:
claude mcp add brain -- npx -y @three-ws/brain-mcp
To unlock the paid flagships, pass your three.ws API key:
claude mcp add brain -e THREE_WS_API_KEY=sk_live_… -- npx -y @three-ws/brain-mcp
Claude Desktop / Cursor (claude_desktop_config.json or mcp.json):
{
"mcpServers": { "brain": { "command": "npx", "args": ["-y", "@three-ws/brain-mcp"], "env": { "THREE_WS_API_KEY": "sk_live_…" } } } }
Inspect the surface with the MCP Inspector:
npx -y @modelcontextprotocol/inspector npx @three-ws/brain-mcp
| Tool | Type | What it does |
|---|---|---|
list_providers | read-only | List every LLM the router can reach — key, network, tier, max output, live availability, and whether it needs auth. |
chat | read-only | Run a chat completion through the chosen provider; returns the full reply, the route taken, token usage, and timing. |
Both tools read live data — the provider set and completions vary between calls, so neither is idempotent. chat does not mutate any platform state, so it is annotated read-only.
`list_providers` — no parameters.
`chat` — messages (required: 1–100 turns of { role: "user" | "assistant", content }, content ≤ 16,000 chars), provider (provider key from list_providers, default gpt-oss-120b), system (optional system prompt, ≤ 8,000 chars), maxTokens (optional, 64–16384, default 4096, clamped to the model's ceiling).
Both responses below are shape illustrations — the live provider set and generations will differ.
// list_providers (example response)
{}
{ "ok": true, "count": 34, "available": 33, "default_provider": "gpt-oss-120b", "providers": [ { "key": "gpt-oss-120b", "label": "GPT-OSS 120B", "network": "OpenAI · OpenRouter", "tier": "balanced", "maxOutput": 8192, "description": "Open-weight 120B from OpenAI. Fast, capable, free tier. Platform default.", "available": true, "requiresAuth": false }, { "key": "claude-sonnet-5", "label": "Claude Sonnet 5", "network": "Anthropic", "tier": "balanced", "maxOutput": 16384, "description": "Near-Opus quality on coding and agentic work at Sonnet cost. Best for most tasks.", "available": true, "requiresAuth": true }, { "key": "deepseek-r1", "label": "DeepSeek R1", "network": "DeepSeek", "tier": "reasoning", "maxOutput": 8192, "description": "Open reasoning model. Strong at math and code.", "available": true, "requiresAuth": true } /* … */ ] }
// chat (example response)
{
"provider": "claude-sonnet-5", "system": "You are terse.", "messages": [{ "role": "user", "content": "Name three Solana RPC methods." }] } { "ok": true, "provider": "claude-sonnet-5", "model": "Claude Sonnet 5", "network": "Anthropic", "tier": "balanced", "routed_via": null, "content": "getBalance, getAccountInfo, getSignaturesForAddress.", "usage": { "input_tokens": 24, "output_tokens": 14, "total_tokens": 38 }, "timing_ms": { "first_token": 412, "total": 980 } }
routed_via is null when the requested provider answered directly; otherwise it names the mirror or free-tier route the router fell back to (so you always get an answer even if the first choice is briefly down).
Model availability is dynamic. Always call
list_providersfirst rather than hardcoding a key. The current Claude ids areclaude-fable-5,claude-opus-5,claude-sonnet-5,claude-opus-4-7,claude-sonnet-4-6, andclaude-haiku-4-5, but the live list is the source of truth.
| Model class | Needs a key? |
|---|---|
| Free open-weight tiers (GPT-OSS 120B, and the NVIDIA NIM set: Nemotron 3 Super / Nemotron Super 49B / Nemotron Nano / DeepSeek V4 / Kimi K2 / Llama 4 Maverick / MiniMax M2) | No |
| Paid first-party flagships (Claude, GPT-5.6, o3, Qwen Plus, DeepSeek, …) | Yes — set THREE_WS_API_KEY |
Create an API key at three.ws/dashboard/developers. Without it, paid models return a sign-in error and list_providers flags them with requiresAuth: true.
https://three.ws (or your own THREE_WS_BASE).| Variable | Required | Default | Purpose |
|---|---|---|---|
THREE_WS_BASE | no | https://three.ws | API base URL (override to self-host or target a preview). |
THREE_WS_API_KEY | no | — | Bearer credential that unlocks the paid first-party flagships. |
THREE_WS_TIMEOUT_MS | no | 120000 | Per-request timeout (completions stream server-side). |
A failed tool call returns an MCP error result (isError: true) whose text is a single JSON object — { "ok": false, "error": " ", "message": "…" }, plus status and detail on upstream rejections:
error | Meaning | Recovery |
|---|---|---|
upstream_error | The router rejected the request — status carries the real HTTP code: 400 (bad arguments or an unknown provider key), 401 (paid model without a valid THREE_WS_API_KEY), 429 (rate-limited), 502 (the model's stream failed before producing output). | Act on status; for 401 set a key, for an unknown key re-run list_providers. |
timeout | No complete response within THREE_WS_TIMEOUT_MS. Long flagship generations can be slow — the default 120 s matches the router's own ceiling. | Retry, lower maxTokens, or pick a fast-tier provider. |
network_error | The request never reached the router (DNS, offline, TLS). | Check connectivity / THREE_WS_BASE. |
bad_config | THREE_WS_TIMEOUT_MS is not a positive number (thrown at startup). | Fix the env var. |
If the requested provider fails mid-flight the router transparently falls back to a mirror or free tier and the reply's routed_via names the route taken — you only see an error when every route is exhausted.
Part of the three.ws SDK suite — 3D AI agents, on-chain identity, and agent payments.
Website · Changelog · GitHub