Mcptest
This is an MCP protocol server based on TypeScript, integrating services such as Salesforce, Atlassian (Jira/Confluence), and Supabase, providing standardized tool calls and resource access interfaces for AI agents
rating : 2 points
downloads : 0
What is the MCP Integration Server?
This is a smart connector specifically designed to allow AI assistants to securely interact with your business systems. It acts as an intermediate layer, standardizing the exposure of Salesforce customer data, Jira tasks, Confluence documents, and internal resources, enabling AI to call these systems like tools.How to use the MCP Integration Server?
You only need to configure the API keys of each system, and then the AI assistant can query data, create tasks, search for documents, etc. through standardized tool calls. The server will handle all technical details, including authentication, error handling, and security.Applicable Scenarios
Suitable for business scenarios that require AI assistants to assist with customer support, project management, document search, data analysis, etc. Particularly suitable for sales teams, customer service teams, project managers, and technical document maintainers.Main Features
Salesforce Integration
Securely access customer data, sales opportunities, and business reports, supporting query, search, and data retrieval operations
Atlassian Integration
Connect to Jira and Confluence, manage tasks, search for issues, and access knowledge base documents
Supabase Backend
Use Supabase for logging and data storage, providing reliable audit trails
Security Features
Built - in timeout control, log desensitization, and environment isolation to ensure secure and reliable API calls
Standardized Interface
Unified tool and resource interface to simplify the interaction between AI assistants and different systems
Advantages
Unified access to multiple business systems, reducing integration complexity
Built - in security mechanisms to protect sensitive data
Standardized interface for easy use by AI assistants
Detailed logging for easy auditing and debugging
Flexible configuration to enable different integrations as needed
Limitations
Requires configuration of API keys for each system
Depends on the availability of external services
Initial setup requires technical knowledge
Some advanced features require corresponding API permissions
How to Use
Environment Preparation
Ensure that Node.js 18 or a higher version is installed. It is recommended to use Node 20 for optimal performance.
Install Dependencies
Run the installation command in the project root directory to download all necessary dependency packages.
Configure Environment Variables
Copy the environment template file and fill in your API keys and access addresses.
Build the Server
Compile TypeScript code to generate an executable server file.
Test the Connection
Use the test script to verify the connection status of the server and each integration.
Usage Examples
Customer Support Scenario
The AI assistant obtains customer information by querying Salesforce and searches for solution documents in Confluence to provide accurate assistance to customers.
Project Management Scenario
The project manager queries the task progress of the team in Jira through the AI assistant and generates a project status report.
Sales Analysis Scenario
The sales director analyzes the sales data in Salesforce through the AI assistant to identify trends and opportunities.
Frequently Asked Questions
How to obtain the API keys of each system?
What should I do if the server fails to start?
How to ensure data security?
Can I customize and add new integrations?
How to handle API call timeouts?
Related Resources
Salesforce API Documentation
Complete reference documentation for the Salesforce REST API
Atlassian Developer Documentation
Development guide for Jira and Confluence APIs
Supabase Official Documentation
Guide for using and configuring Supabase
MCP Protocol Specification
Official specification document for the Model Context Protocol

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