| name | nextcloud-talk-mcp-connector |
| description | MCP connector for Nextcloud Talk – enables AI-powered video/chat communication, conversation management, and collaboration through Claude |
| license | AGPL |
| tags | ["dev","communication","mcp","nextcloud","chat","video"] |
| difficulty | intermediate |
| time_to_master | 4-8 weeks |
| version | 1.0.0 |
Nextcloud Talk MCP Connector
Overview
This skill enables Claude to interact with Nextcloud Talk through the Model Context Protocol (MCP). It provides a bridge between Claude's AI capabilities and Nextcloud Talk's REST API, allowing natural language control of Nextcloud Talk operations, intelligent automation, and AI-powered assistance for Nextcloud Talk workflows.
When to Use This Skill
- Conversation creation and participant management
- Message posting and thread management
- Poll creation and voting management
- File sharing within conversations
- Call signaling and recording management
Architecture
┌─────────────┐ ┌─────────────────┐ ┌──────────────────┐
│ Claude │────▶│ MCP Server │────▶│ Nextcloud Talk │
│ (Client) │◀────│ (TypeScript) │◀────│ (REST API )│
└─────────────┘ └─────────────────┘ └──────────────────┘
Core Concepts
MCP Server Setup
The connector implements an MCP server that exposes Nextcloud Talk operations as tools Claude can invoke. The server translates natural language intentions into REST API calls.
Key Endpoints/Interfaces
/ocs/v2.php/apps/spreed/api/v4/room, /ocs/v2.php/apps/spreed/api/v1/chat, /ocs/v2.php/apps/spreed/api/v1/poll
Implementation
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
const server = new McpServer({
name: "nextcloud-talk-mcp-connector",
version: "1.0.0",
});
server.tool(
"list_resources",
"List and query Nextcloud Talk resources with optional filters",
{
query: z.string().optional().describe("Search query or filter"),
limit: z.number().optional().describe("Max results to return"),
},
async ({ query, limit }) => {
const response = await fetch(`${BASE_URL}/ocs/v2.php/apps/spreed/api/v4/room`, {
headers: { "Authorization": `Bearer ${API_KEY}` },
});
const data = await response.json();
{
: [{ : , : .(data, , ) }],
};
}
);
server.(
,
,
{
: z.().(),
: z.({}).().().(),
},
({ name, config }) => {
response = (, {
: ,
: {
: ,
: ,
},
: .({ name, ...config }),
});
data = response.();
{
: [{ : , : }],
};
}
);
server.(
,
,
{
: z.().(),
: z.().().(),
},
({ , timeframe }) => {
response = (, {
: { : },
});
data = response.();
{
: [{ : , : .(data, , ) }],
};
}
);
transport = ();
server.(transport);
Claude Desktop Configuration
{
"mcpServers": {
"nextcloud-talk-mcp-connector": {
"command": "node",
"args": ["path/to/nextcloud-talk-mcp-connector/index.js"],
"env": {
"NEXTCLOUD_TALK_API_KEY": "your-api-key",
"NEXTCLOUD_TALK_BASE_URL": "https://your-instance-url"
}
}
}
}
Best Practices
- Authentication: Store API keys securely using environment variables; never hardcode credentials
- Rate Limiting: Implement request throttling to respect Nextcloud Talk API rate limits
- Error Handling: Provide clear, actionable error messages for common failure scenarios
- Pagination: Handle paginated responses for large datasets efficiently
- Caching: Cache frequently accessed read-only data to reduce API calls
- Security: Validate all inputs before passing to the Nextcloud Talk API; sanitize outputs
- Logging: Log all API interactions for debugging and audit purposes
Example Prompts
"Create a group conversation for the project kickoff and share the requirements document"
Security Considerations
- All API credentials must be stored as environment variables
- Implement input validation and sanitization for all tool parameters
- Use HTTPS for all API communications
- Follow the principle of least privilege for API token permissions
- Audit log all write operations for compliance tracking
Resources
Changelog
| Version | Date | Changes |
|---|
| 1.0.0 | 2026-04-01 | Initial MCP connector skill |
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