CData JDBC Driver connects to Microsoft Teams by exposing them as relational SQL models.
Connect Microsoft Teams By Cdata to Claude, Cursor or any other MCP client and it stops being a tab you switch to. CData JDBC Driver connects to Microsoft Teams by exposing them as relational SQL models. The microsoft teams by cdata mcp server is what makes that connection.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
microsoft_teams_get_tables — The microsoft_teams_get_tables tool exposed by this servermicrosoft_teams_get_columns — The microsoft_teams_get_columns tool exposed by this servermicrosoft_teams_run_query — The microsoft_teams_run_query tool exposed by this serverAmong the team communication options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Microsoft Teams By Cdata's toolset — microsoft_teams_get_tables, microsoft_teams_get_columns, microsoft_teams_run_query — is a fair guide to whether it matches your workflow. It is maintained by CDataSoftware; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| microsoft_teams_get_tables | The microsoft_teams_get_tables tool exposed by this server. |
| microsoft_teams_get_columns | The microsoft_teams_get_columns tool exposed by this server. |
| microsoft_teams_run_query | The microsoft_teams_run_query tool exposed by this server. |
**Linux/Mac**
```json
{
"mcpServers": {
"{classname_dash}": {
"command": "/PATH/TO/java",
"args": [
"-jar",
"/PATH/TO/CDataMCP-jar-with-dependencies.jar",
"/PATH/TO/microsoft-teams.prp"
]
},
...
}
}Configuration as documented by the project. Restart the client after saving.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.