Vexa
by Vexa-ai
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
Install
Grok Chat
Overview
Description from the maker (original English)
MCP server for the xAI Grok API — chat, vision, search, and embeddings
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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.
- Connection: –
- Transport:
- Category: Chat & email
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.
The maker has not listed install details in the registry. See the maker’s README below.
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account codeChap, 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 Chat & emaili
- More stars than 0% of the other 1763 servers in this category
- Published to the registry more recently than 17% of the other 1763 servers in this category
- Basic checks equal to or better than 100% of the other 1763 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 Grok Chat 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 (0.2.0) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
What can I use instead?
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
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
emailmd
by anypost
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
Computer or cloud★ 1,385MITUpdated 31 days ago
Install
MCP WhatsApp Cloud
by codespar
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
Runs on your computer★ 277MITUpdated 5 months 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.
mcp-server-grok-chat
An MCP (Model Context Protocol) server for the xAI Grok API. Built in Rust, exposes chat completions, vision, web/X search, embeddings, and model listing as MCP tools.
Communicates via stdio using JSON-RPC 2.0, like all MCP servers.
Tools
| Tool | Description |
|---|---|
chat | Send a chat completion request to Grok with optional multi-turn history, system prompt, structured output (JSON schema), model selection, and multi-agent research |
chat_with_vision | Analyse an image with Grok's vision capabilities given an image URL and text prompt |
chat_with_search | Chat with Grok using live web search and/or X (Twitter) search to ground responses |
embedding | Generate text embeddings using Grok's embedding model |
list_models | List all available Grok models and their IDs (cached for 5 minutes) |
chat
Send a chat completion request. Supports multi-turn conversations via a JSON message history array, system prompts, structured output via JSON schema, temperature control, model selection, and multi-agent research.
When using a multi-agent model (any model ID containing multi-agent), the request is automatically routed through the Responses API. The multi-agent model dispatches your query to multiple agents that research in parallel, then synthesizes their findings. Use reasoning_effort to control agent count. Call the list_models tool to see which multi-agent models are currently available.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | The user message to send |
model | string | no | Model ID (default: grok-4.3). Call list_models for the current set. |
system_prompt | string | no | System prompt to set context |
messages | string | no | Full conversation history as JSON array of {role, content} objects |
temperature | float | no | Sampling temperature (0.0 - 2.0) |
max_tokens | integer | no | Maximum tokens to generate |
response_schema | string | no | JSON schema string to enforce structured output |
reasoning_effort | string | no | On grok-4.3: low/medium/high controls native reasoning depth. On multi-agent models: low/medium = 4 agents, high/xhigh = 16 agents (xhigh is multi-agent-only). |
chat_with_vision
Analyse an image using Grok's vision capabilities.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | Text prompt describing what to analyse |
image_url | string | yes | URL of the image (must be http:// or https://) |
model | string | no | Model ID (default: grok-4.3). Must be a vision-capable model. Call list_models for the current set. |
detail | string | no | Image detail level: low or high (default: high) |
temperature | float | no | Sampling temperature (0.0 - 2.0) |
max_tokens | integer | no | Maximum tokens to generate |
chat_with_search
Chat with Grok using live web search and/or X (Twitter) search. The model automatically searches the internet to ground its response.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | The user message to send |
search_type | string | no | Search type: web, x, or both (default: both) |
model | string | no | Model ID (default: grok-4.3). Call list_models for the current set. |
system_prompt | string | no | System prompt to set context |
temperature | float | no | Sampling temperature (0.0 - 2.0) |
max_tokens | integer | no | Maximum tokens to generate |
reasoning_effort | string | no | On grok-4.3: low/medium/high controls native reasoning depth. On multi-agent models: low/medium = 4 agents, high/xhigh = 16 agents (xhigh is multi-agent-only). |
embedding
Generate text embeddings.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
input | string | yes | Text to embed as JSON: a single string or array of strings |
model | string | no | Embedding model to use (default: grok-2-text-embedding) |
list_models
List all available Grok models. No parameters. Results are cached for 5 minutes.
Prerequisites
- Rust (edition 2024)
- An xAI API key from console.x.ai
Setup
Create the config file:
mkdir -p ~/.config/mcp-server-grok-chatCreate ~/.config/mcp-server-grok-chat/config.toml:
api_key = "xai-..."Build
cargo build --releaseThis produces target/release/grok-chat.
For development:
cargo build # debug buildcargo run # run in dev mode RUST_LOG=debug cargo run # run with debug logging
MCP Configuration
Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json):
{"mcpServers": { "grok-chat": { "command": "/path/to/grok-chat" } } }
Project Structure
src/main.rs - entry point, config loading, stdio transport setup server.rs - MCP tool definitions (chat, chat_with_vision, chat_with_search, embedding, list_models) api.rs - xAI HTTP client, request/response types, response formatters params.rs - tool parameter types with serde and JSON Schema derives config.rs - TOML config loading
License
MIT