CData Connect AI

Servidor MCP de CData

Query enterprise data sources from your AI assistant through CData's cloud-hosted Connect AI service.

Inicio de sesión OAuth (Inicias sesión con el proveedor la primera vez que te conectas)Streamable HTTP

Conectar con CData Connect AI

CData Connect AI requiere iniciar sesión. Conéctate con su propia URL:

https://mcp.cloud.cdata.com/mcp

La primera vez, tu cliente abre el inicio de sesión de CData. El token queda entre tu cliente y CData.

Compartir este servidor

Abre esta página, con la URL y los pasos de configuración.

mcp.tc/i/cdata-connect-ai

Descripción

CData Connect AI is a cloud-hosted MCP server that gives an AI assistant access to the enterprise data sources configured in a CData Connect AI account. CData describes support for more than 300 sources, so databases, SaaS apps and other systems can be queried through one endpoint.

It runs as a hosted streamable HTTP endpoint at mcp.cloud.cdata.com. Users sign in with OAuth (openid, profile and email scopes) and need a CData Connect AI account with data sources already set up. Nothing is installed locally. The tool list is not published without signing in.

Qué puedes hacer

  • Access enterprise data sources configured in CData Connect AI
  • Query connected data in natural language from an AI assistant
  • Sign in with OAuth so access follows your CData account

Herramientas

CData Connect AI solo muestra sus herramientas después de iniciar sesión, así que no podemos listarlas aquí. Tu cliente las muestra cuando te conectes.

Prompts de ejemplo

  • List the data sources available in my CData Connect AI account

  • Show the 20 most recent orders from my connected sales database

  • Which tables are available in my Salesforce connection?

Configuración

Todos los clientes se conectan a mcp.cloud.cdata.com, y la primera vez CData te pide que inicies sesión. Elige el tuyo; la página recuerda tu elección.

Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http cdata-connect-ai https://mcp.cloud.cdata.com/mcp
  1. Start Claude Code, type /mcp, pick cdata-connect-ai and choose Authenticate. A browser window opens for the CData sign-in.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

  1. Open Settings → Connectors and click Add custom connector.
  2. Name it CData Connect AI and paste this URL:
https://mcp.cloud.cdata.com/mcp
  1. Click Add, then Connect, and sign in when CData asks.

Claude Desktop’s JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

  1. Open the connector form on claude.ai. This button fills in the name and URL for you:
  1. Check that the URL reads https://mcp.cloud.cdata.com/mcp and click Add.
  2. Click Connect and sign in when CData asks.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

  1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
  3. Paste https://mcp.cloud.cdata.com/mcp as the server URL and choose OAuth. ChatGPT sends you to CData to sign in.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "cdata-connect-ai": {
      "url": "https://mcp.cloud.cdata.com/mcp"
    }
  }
}

Cursor shows Needs login next to the server. Click it to sign in.

VS Code

Or from a terminal:

code --add-mcp '{"name":"cdata-connect-ai","type":"http","url":"https://mcp.cloud.cdata.com/mcp"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "cdata-connect-ai": {
      "type": "http",
      "url": "https://mcp.cloud.cdata.com/mcp"
    }
  }
}

VS Code asks you to sign in the first time the server starts.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "cdata-connect-ai": {
      "serverUrl": "https://mcp.cloud.cdata.com/mcp"
    }
  }
}
  1. Refresh the MCP server list in Cascade and sign in when asked.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add cdata-connect-ai --url https://mcp.cloud.cdata.com/mcp
codex mcp login cdata-connect-ai

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.cdata-connect-ai]
url = "https://mcp.cloud.cdata.com/mcp"

Gemini CLI

gemini mcp add --transport http cdata-connect-ai https://mcp.cloud.cdata.com/mcp

Then, inside Gemini CLI, run /mcp auth cdata-connect-ai to sign in.

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI’s settings file.

{
  "mcpServers": {
    "cdata-connect-ai": {
      "type": "http",
      "url": "https://mcp.cloud.cdata.com/mcp"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://mcp.cloud.cdata.com/mcp.

Preguntas frecuentes

Can I paste mcp.tc/i/cdata-connect-ai into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://mcp.cloud.cdata.com/mcp, so your client talks to CData Connect AI directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.

Does CData Connect AI need an API key or a sign-in?

Yes, you need a CData account. The first time your client connects, it opens CData’s sign-in page. The token goes straight to the server’s own URL, never through mcp.tc.

Is CData Connect AI a remote or a local server?

Remote. CData hosts it at https://mcp.cloud.cdata.com/mcp, and it speaks Streamable HTTP. There’s nothing to install.

What can CData Connect AI do?

You can access enterprise data sources configured in CData Connect AI, query connected data in natural language from an AI assistant y sign in with OAuth so access follows your CData account.

Which clients can use it?

Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.

Who wrote this page?

mcp.tc’s robot read CData Connect AI’s own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can’t confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

Insertar

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JSON

La ficha como datos para tus propias páginas y herramientas: nombre, descripción corta, la URL propia del servidor, herramientas y los enlaces «Add to». Cualquier web puede leerla (CORS abierto).

https://mcp.tc/i/cdata-connect-ai.json

Qué significa cada campo

mcp.tc no tiene relación con CData. Esta página se creó a partir de los metadatos públicos de CData Connect AI, comprobados por última vez el 3 oct 2026, y un modelo de IA escribió la descripción, así que puede contener errores. Los nombres y marcas pertenecen a sus titulares. ¿Algo no cuadra? Reportar esta ficha.