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Marklogic Mcp
What is Marklogic Mcp
marklogic-mcp is a Model Context Protocol (MCP) server implementation for MarkLogic, enabling interaction with a MarkLogic database through various MCP tools.
Use cases
Use cases for marklogic-mcp include managing digital assets, implementing document workflows, conducting data analysis, and integrating with other applications that require access to a MarkLogic database.
How to use
To use marklogic-mcp, install it via pip with ‘pip install mcp-marklogic’, configure the necessary environment variables, and start the server using ‘mcp-marklogic’. You can then utilize available tools to create, read, delete, and search documents in MarkLogic.
Key features
Key features include the ability to create documents with optional collections, read documents by URI, delete documents by URI, and search documents using query strings with optional collection filters.
Where to use
marklogic-mcp can be used in various fields that require document management and database interactions, such as content management systems, data integration platforms, and enterprise applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Marklogic Mcp
marklogic-mcp is a Model Context Protocol (MCP) server implementation for MarkLogic, enabling interaction with a MarkLogic database through various MCP tools.
Use cases
Use cases for marklogic-mcp include managing digital assets, implementing document workflows, conducting data analysis, and integrating with other applications that require access to a MarkLogic database.
How to use
To use marklogic-mcp, install it via pip with ‘pip install mcp-marklogic’, configure the necessary environment variables, and start the server using ‘mcp-marklogic’. You can then utilize available tools to create, read, delete, and search documents in MarkLogic.
Key features
Key features include the ability to create documents with optional collections, read documents by URI, delete documents by URI, and search documents using query strings with optional collection filters.
Where to use
marklogic-mcp can be used in various fields that require document management and database interactions, such as content management systems, data integration platforms, and enterprise applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP MarkLogic Server
This is a Model Context Protocol (MCP) server implementation for MarkLogic, allowing you to interact with a MarkLogic database through MCP tools.
- The server provides the following operations:
Create Document
- Create documents in MarkLogic with optional collections
- Read documents by URI
- Delete documents by URI
- Search documents with query strings and optional collection filters
Installation
pip install mcp-marklogic
Configuration
The server requires the following environment variables:
MARKLOGIC_HOST=localhost MARKLOGIC_PORT=8000 MARKLOGIC_USERNAME=admin MARKLOGIC_PASSWORD=admin
Usage
Once installed and configured, you can start the server:
mcp-marklogic
Available Tools
-
create-document- Create a new document in MarkLogic
- Parameters:
uri: Document URI (required)content: Document content as JSON (required)collections: List of collections to add the document to (optional)
-
read-document- Read a document from MarkLogic
- Parameters:
uri: Document URI (required)
-
delete-document- Delete a document from MarkLogic
- Parameters:
uri: Document URI (required)
-
search-documents- Search for documents in MarkLogic
- Parameters:
query: Search query string (required)collections: List of collections to search in (optional)
Development
Setup
- Clone the repository
- Create a virtual environment and activate it
- Install dependencies:
pip install -e .
Running Tests
pytest tests/
MarkLogic Setup
- Ensure you have MarkLogic Server installed and running
- Create a REST API instance on port 8000 if not already present
- Create a user with appropriate permissions:
- Go to Admin Interface (usually http://localhost:8001)
- Create role
python-docs-rolewith:- Roles:
rest-extension-user,rest-reader,rest-writer - Privileges:
xdbc:eval,xdbc:invoke,xdmp:eval-in
- Roles:
- Create user
python-userwith:- Password:
pyth0n - Role:
python-docs-role
- Password:
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










