Unified Communication Aggregator MCP Endpoint

This repository details an implementation of a Model Context Protocol (MCP) server that leverages the Unipile service to consolidate message streams originating from diverse communication platforms.

Core Concept

This MCP server furnishes a consistent, structured interface, enabling sophisticated AI agents (like Claude) to ingest, process, and interact with conversational data harvested from a multitude of external social and professional networks. For comprehensive details on the MCP framework, consult Anthropic's official MCP documentation.

Dependency on Unipile Subscription

Operational functionality hinges upon an active subscription to Unipile. Please note that this implementation is provided by an appreciative end-user of the Unipile platform, not an official affiliate or paid representative. Unipile's efficacy in unifying communications drives its adoption here. Details regarding service tiers and feature sets can be found at the Unipile Communication API portal.

Supported Communication Vectors

The Unipile integration facilitates smooth, centralized management of interactions across the following digital venues:

Professional Networking (LinkedIn): Manage professional dialogue, respond to connection requests, and analyze correspondence.
Encrypted Messaging (WhatsApp): Synchronize chat history and enable AI-driven responses within WhatsApp conversations.
Visual/Social Interaction (Instagram): Handle direct message threads and associated communications.
Social Messaging (Messenger): Integrate conversations from the Facebook Messenger ecosystem.
Secure Chat (Telegram): Effortlessly pull and process messages exchanged via Telegram.

This consolidation abstracts platform-specific idiosyncrasies, creating a unified data source that greatly enhances the utility of contextual AI processing, particularly for complex professional use cases involving platforms like LinkedIn.

Exposed System Elements

Data Endpoints

The server exposes the following principal data access point:

unipile://messages: A dynamic endpoint providing aggregated message streams pulled from all linked communication sources.

Operational Utilities (Tools)

The server furnishes specific functions for granular data retrieval:

Message Retrieval Functions

unipile_get_chat_messages
- Purpose: Fetches the complete history for a designated conversation, supporting iterative fetching.
- Parameters: chat_id (Mandatory identifier), batch_size (Optional, defaults to 100 records per call).
- Output: A structured array containing message objects.

Example Query Pattern

To retrieve all historical messages from a specific thread:

Retrieve all message objects associated with thread identifier "chat_123"

Deployment Prerequisites

Successful execution necessitates the configuration of two crucial secrets obtained from your Unipile management console:

Required Environment Configuration

UNIPILE_DSN: The Data Source Name for the Unipile instance (e.g., api8.unipile.com:13851).
UNIPILE_API_KEY: The confidential access token for API authentication.

Security Advisory: Treat the API Key as highly sensitive data; never commit it to any source control repository.

Containerization Strategy

The artifact is prepared for Linux environments (amd64, arm64, arm/v7) and can be acquired via Docker Hub or built natively.

Pulling Pre-built Image

bash docker pull buryhuang/mcp-unipile:latest

Local Image Construction

bash docker build -t mcp-unipile .

Running the Service Container

bash docker run \ -e UNIPILE_DSN=your_dsn_here \ -e UNIPILE_API_KEY=your_api_key_here \ buryhuang/mcp-unipile:latest

Multi-Architecture Image Publication

For comprehensive platform support, leverage docker buildx:

Initialize Builder (if new): bash docker buildx create --use
Build and Push Across Targets: bash docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 -t buryhuang/mcp-unipile:latest --push .
Verification: Confirm multi-arch manifest availability: bash docker buildx imagetools inspect buryhuang/mcp-unipile:latest

Integration with Desktop Environments (Example Configuration)

To link this service with an MCP-enabled desktop application (e.g., Claude Desktop):

{ "mcpServers": { "unipile_integration": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "UNIPILE_DSN=your_dsn_here", "-e", "UNIPILE_API_KEY=your_api_key_here", "buryhuang/mcp-unipile:latest" ] } } }

Development Environment Setup

To initialize the development workspace:

bash pip install -e .

Licensing Information

This software is distributed under the terms of the MIT License.

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