Manage CouchDB databases and documents effortlessly with a TypeScript MCP server supporting advanced querying
Couchdb-mcp-server is a TypeScript-based Model Context Protocol (MCP) server designed to facilitate interactions with CouchDB databases and documents. This server serves as a critical link between AI applications like Claude Desktop, Continue, Cursor, and others, enabling seamless data management through the standardized MCP protocol. By integrating this service, developers can ensure their applications are capable of leveraging various data stores without needing deep customization for each one.
The core capabilities of couchdb-mcp-server revolve around its robust and comprehensive set of tools for managing CouchDB databases and documents. These tools enable AI applications to interact with CouchDB through a structured, protocol-driven interface. Key features include:
The architecture of couchdb-mcp-server adheres to strict MCP protocol standards, ensuring seamless communication between AI applications and underlying data sources. It includes:
.env
file.To deploy couchdb-mcp-server, follow these steps:
Install Dependencies:
npm install
Build the Server:
npm run build
For development with automated rebuilds, use:
npm run watch
To integrate with Claude Desktop using Smithery:
npx -y @smithery/cli install @robertoamoreno/couchdb-mcp-server --client claude
claude_desktop_config.json
:
{
"mcpServers": {
"couchdb-mcp-server": {
"command": "/path/to/couchdb-mcp-server/build/index.js",
"env": {
"COUCHDB_URL": "http://username:password@localhost:5984"
}
}
}
}
A developer creating a personal assistant app for managing user data can use couchdb-mcp-server to securely store and query user-specific information. This integration ensures the app can efficiently manage different types of personal records, such as contacts, notes, and preferences.
In an enterprise setting, a knowledge management system might leverage CouchDB for storing company-related documents and articles. couchdb-mcp-server simplifies this process by providing uniform access methods that can be readily used across multiple AI-driven applications, ensuring seamless data retrieval and storage.
Currently, the server supports full compatibility with the following MCP clients:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | - | ✅ | - |
This compatibility matrix showcases the broad applicability of this MCP server in various AI application ecosystems, making it a versatile choice for development teams.
Couchdb-mcp-server is designed to handle diverse query loads and ensure robust performance under varying data management scenarios. The following matrix highlights its capabilities across different CouchDB versions:
CouchDB Version | Features Supported |
---|---|
1.x | Basic CRUD operations |
3.x+ | Extended features like mango querying |
This matrix ensures that developers can predict the feature set available based on their chosen database version.
COUCHDB_URL
and COUCHDB_VERSION
via environment variables or a .env
file.
{
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"COUCHDB_URL": "http://username:password@localhost:5984"
}
}
npx -y @smithery/cli install @robertoamoreno/couchdb-mcp-server --client claude
npm run inspector
to start the Inspector, which will provide a URL accessible from your browser.Contributors are encouraged to follow these guidelines:
Explore additional resources within the Model Context Protocol ecosystem for developers looking to enhance their AI applications:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD
subgraph "MCP Server"
A[AI Application] --> B[MCP Client]
B --> C[MCP Protocol]
C --> D[MCP Server]
D --> E[CouchDB Database]
style A fill:#e1f5fe
style C fill:#f3e5f5
end
This comprehensive documentation positions couchdb-mcp-server as a vital tool for developers aiming to integrate robust data management capabilities into their AI applications, ensuring seamless interoperability with other MCP clients and tools.
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