📄️ GitHub Board
The GitHub Board integration allows MCP Express to read, create, and manage GitHub Projects boards and items for a user or organization. It supports both user-owned and organization-owned boards and authenticates with a GitHub Personal Access Token (PAT).
📄️ FTP
The FTP integration connects MCP Express to file servers so you can move and manage files in a controlled way.
📄️ Amazon DynamoDB
The DynamoDB integration provides a secure interface between MCP Express and Amazon DynamoDB so AI tools can read and write scoped table data through JSON-RPC. It abstracts request construction and enforces predictable tool contracts for LLM orchestration.
📄️ MySQL
The MySQL integration provides a secure, schema-validated interface between your LLM and your database instances. It abstracts the database driver layer, enabling AI agents to perform data retrieval and analysis within the bounds of your defined governance.
📄️ Grafana
The Grafana integration allows MCP Express to run Grafana alerting actions so non-developer users can list rules, inspect active alerts, and manage silences with LLM and mcp tools.
📄️ RAG
The RAG integration lets your AI assistant search and answer questions from your own documents. Upload markdown files once, and every query against this tool searches across them and returns the most relevant passages, with the source document named alongside each result.
📄️ SQL Server
The MS SQL Server integration provides a secure, schema-validated interface between your LLM and your database instances. It abstracts the database driver layer, enabling AI agents to perform data retrieval and analysis within the bounds of your defined governance.
📄️ PostgreSQL
The PostgreSQL integration provides a secure, schema-validated interface between your LLM and your database instances. It abstracts the database driver layer, enabling AI agents to perform data retrieval and analysis within the bounds of your defined governance.
📄️ MongoDB
The MongoDB integration provides a secure, schema-aware interface between MCP Express and your MongoDB clusters. It abstracts connection handling and action execution so AI tools can query and modify data within clearly defined guardrails.
📄️ Google Analytics
Connecting MCP Express to GA4 lets your AI assistant pull live analytics data directly: audience reports, traffic breakdowns, real-time visitors, event analytics, and conversion summaries without manually copying dashboards or exporting CSVs.
📄️ SFTP
The SFTP integration connects MCP Express to secure file servers over SSH, enabling controlled file operations with schema-validated inputs and clear auditability.
📄️ Rest API
Integrate RESTful web services to create tools that can interact with external APIs. This integration allows you to make HTTP requests to any REST API and use the responses in your MCP tools. 🚀
📄️ Atlassian
The Confluence Tool integrates with Confluence, a collaboration software developed by Atlassian, allowing you to automate workflows, search for pages, read content, and create or update pages directly from the MCP-Express platform. This integration enhances productivity by streamlining interactions with Confluence content and automating content management.
📄️ CloudWatch
The CloudWatch integration connects MCP Express to Amazon CloudWatch Logs Insights so tools can execute scoped log queries through consistent JSON-RPC contracts. It supports static and templated query inputs while preserving operational controls for production workloads.