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PopNx MCPMCP servers for people who use AI · explained in plain words

Cavyro

by cherry-itversion 1.1.0i★ –iRuns in the cloud
Registry namecom.cavyro/cavyro

Install

Overview

Description from the maker (original English)

Telegram-native CRM for agents: contacts, deals, projects, tasks, campaigns, docs and reports.

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.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Marketing & social media

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://ai.cavyro.com/mcp

Run this in your terminal

claude mcp add --transport http cavyro https://ai.cavyro.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cavyro": {
      "url": "https://ai.cavyro.com/mcp"
    }
  }
}

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": {
    "cavyro": {
      "type": "http",
      "url": "https://ai.cavyro.com/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://ai.cavyro.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain cavyro.com (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2954 servers in this category
  • Published to the registry more recently than 85% of the other 2954 servers in this category
  • Basic checks equal to or better than 100% of the other 2954 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 Cavyro 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 9 days ago
Install

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 9 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.

Cavyro MCP server

Cavyro is a Telegram-native CRM for agents and small sales teams: contacts, companies, deals, pipelines, projects and tasks, campaigns, docs and reports. This repository describes Cavyro's hosted Model Context Protocol server, listed in the MCP Registry as com.cavyro/cavyro.

The server is hosted, so there is nothing to install or run. Point your MCP client at it and it reads and acts on your Cavyro workspace with your permissions.

The server source is not published here. The tool surface is generated from the running server and exposed in the server card above, so the card is always the authoritative description of what the server does.

What it does

The server exposes a fixed set of nine generic tools over a resource and action registry, instead of one tool per API operation. The client discovers resources and actions on demand, so the tool list stays small while covering over 200 operations across 24 resources.

ToolPurpose
describe_resourceCatalog of all resources and global actions, or one resource's filters, sort fields, enums, operations and actions
query_resourcesList records of any resource with filters, sort, pagination and custom-field filters
get_resourceFetch one record by ID
create_resourceCreate a record (custom fields nested under custom_fields)
update_resourceChange fields on a record
delete_resourcediscard (archive), restore, or destroy a record
searchOmnibox search across entity types
perform_actionAny specialized non-CRUD action by slug: move a deal between stages, link records, bulk operations, comments, reports
load_guidanceOn-demand workflow guidance: create flows, custom fields, automations

Covered domains: deals, contacts, companies, pipelines and stages, projects with folders, task lists, tasks and subtasks, project reports, comments and reactions, activity feed, notifications, a personal My Work queue with mentions, workspaces, members, teams, groups, invitations, custom field definitions, automations, docs with their pages, reports, Google Calendar meetings, read-only Telegram chats and Telegram follow-up reminders.

All tool responses share one envelope, { "data": ..., "pagination": ... }, with pagination present only on paginated list results.

The connection acts as you. An external AI can only see and do what your Cavyro role allows in that workspace.

Authentication

Every request needs two headers:

HeaderValue
AuthorizationBearer
X-Workspace-IdYour workspace ID

Create an API token in Cavyro under Settings → API tokens. Tokens can expire after 7, 30 or 90 days, or never for integrations that cannot rotate them. Revoking a token cuts the client off immediately.

There is no OAuth flow. The server answers unauthenticated requests with 401 and a WWW-Authenticate: Bearer realm="cavyro" challenge. MCP is a Pro feature; MCP calls do not consume Cavyro AI credits, the model tokens are paid by your own client subscription.

Configuration

Replace and in the snippets below. Cavyro's settings page generates the same snippet with your workspace ID filled in.

VS Code (GitHub Copilot)

.vscode/mcp.json, or MCP: Add Server from the command palette:

{

"servers": { "cavyro": { "type": "http", "url": "https://ai.cavyro.com/mcp", "headers": { "Authorization": "Bearer ${input:cavyro-token}", "X-Workspace-Id": "${input:cavyro-workspace}" } } }, "inputs": [ { "id": "cavyro-token", "type": "promptString", "description": "Cavyro API token", "password": true }, { "id": "cavyro-workspace", "type": "promptString", "description": "Cavyro workspace ID" } ] }

Cursor and Claude Desktop

The Add to Cursor button above installs the server with placeholder headers; replace them in ~/.cursor/mcp.json.

Cursor: ~/.cursor/mcp.json. Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json.

{

"mcpServers": { "cavyro": { "url": "https://ai.cavyro.com/mcp", "headers": { "Authorization": "Bearer ", "X-Workspace-Id": " " } } } }

Claude Code
claude mcp add --transport http cavyro https://ai.cavyro.com/mcp \

--header "Authorization: Bearer " \ --header "X-Workspace-Id: "

ChatGPT

Add the server as a connector in Developer Mode (Plus, Pro, Business or Enterprise) with the URL https://ai.cavyro.com/mcp and the two headers above.

Usage

Once connected, ask your assistant in plain language. A few things that work well:

  • "Show my open deals sorted by value, then move the top one to Negotiation."
  • "Create a contact for Ana Petrović at Acme, phone +381…, and link her to the Acme company."
  • "Which deals in the Enterprise pipeline haven't had activity in 30 days?"
  • "Summarize the last week of the Telegram chat with Acme and add it as a comment on their deal."
  • "Add a custom field 'Lead source' to contacts and set it to 'Referral' on the contacts I just created."
  • "What's on my plate today? Then move every overdue task in the Website project to In progress."

The assistant will typically call describe_resource first to learn the shape of a resource, then query_resources or perform_action. If it needs a multi-step recipe, it calls load_guidance.

Support

Ask PopNx