---

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

// Nextcloud Talk MCP Server 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",
});

// Tool: List/Query Resources
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 }) => {
    // Call Nextcloud Talk REST API
    const response = await fetch(`${BASE_URL}/ocs/v2.php/apps/spreed/api/v4/room`, {
      headers: { "Authorization": `Bearer ${API_KEY}` },
    });
    const data = await response.json();
    return {
      content: [{ type: "text", text: JSON.stringify(data, null, 2) }],
    };
  }
);

// Tool: Create Resource
server.tool(
  "create_resource",
  "Create a new resource in Nextcloud Talk",
  {
    name: z.string().describe("Resource name"),
    config: z.object({}).passthrough().optional().describe("Resource configuration"),
  },
  async ({ name, config }) => {
    const response = await fetch(`${BASE_URL}/ocs/v2.php/apps/spreed/api/v4/room`, {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${API_KEY}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({ name, ...config }),
    });
    const data = await response.json();
    return {
      content: [{ type: "text", text: `Created: ${JSON.stringify(data)}` }],
    };
  }
);

// Tool: Analyze/Report
server.tool(
  "analyze",
  "AI-powered analysis of Nextcloud Talk data",
  {
    type: z.string().describe("Analysis type"),
    timeframe: z.string().optional().describe("Time range for analysis"),
  },
  async ({ type, timeframe }) => {
    // Fetch data and provide AI analysis
    const response = await fetch(`${BASE_URL}/ocs/v2.php/apps/spreed/api/v4/room`, {
      headers: { "Authorization": `Bearer ${API_KEY}` },
    });
    const data = await response.json();
    return {
      content: [{ type: "text", text: JSON.stringify(data, null, 2) }],
    };
  }
);

// Start server
const transport = new StdioServerTransport();
await server.connect(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

1. Authentication: Store API keys securely using environment variables; never hardcode credentials
2. Rate Limiting: Implement request throttling to respect Nextcloud Talk API rate limits
3. Error Handling: Provide clear, actionable error messages for common failure scenarios
4. Pagination: Handle paginated responses for large datasets efficiently
5. Caching: Cache frequently accessed read-only data to reduce API calls
6. Security: Validate all inputs before passing to the Nextcloud Talk API; sanitize outputs
7. 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

• Nextcloud Talk Official Documentation
• MCP SDK Documentation: https://modelcontextprotocol.io
• MCP Server Examples: https://github.com/modelcontextprotocol/servers
• SkillGalaxy Repository: https://github.com/Sandeeprdy1729/skill_galaxy

Changelog

Version	Date	Changes
1.0.0	2026-04-01	Initial MCP connector skill

---

Part of SkillGalaxy - 10,000+ comprehensive skills for AI-assisted development.