Mobi

This is a Model Context Protocol server that will allow agentic interfacing with a given instance of Mobi (GitHub).

Prerequisites

• Python 3.10 or higher (required for MCP package)
• A running Mobi instance

Model Context Protocol (MCP) is a standardized communication protocol that enables AI models to interact with external tools and services. When integrated with Mobi, MCP provides several key benefits:

• Seamless interaction between AI models and Mobi's functionality
• Structured data exchange and command execution
• Real-time updates and bidirectional communication
• Enhanced automation capabilities through standardized interfaces
• Platform-agnostic integration with various AI models and services

Installation

1. Clone the repository:

   git clone <repository-url>
   cd mobi-mcp
   

2. Create a Python virtual environment:

   python3.12 -m venv .venv
   

   Note: If you don't have Python 3.10+, install it first:

   • macOS: brew install [email protected]

3. Activate the virtual environment:

   • macOS/Linux: source .venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt
   

Leveraging the MCP Server

The easiest way to quickly try this is to hook the MCP server into Claude Desktop and then configure the application to use your MCP server by modifying the ~/Library/Application\ Support/Claude/claude_desktop_config.json file with a JSON snippet like this:

{
  "mcpServers": {
    "mobi": {
      "command": "/Users/{username}/git/mobi-mcp/.venv/bin/python",
      "args": ["/Users/{username}/git/mobi-mcp/src/mobi-mcp.py"],
      "env": {
        "MOBI_BASE_URL": "https://localhost:8443",
        "MOBI_USERNAME": "admin",
        "MOBI_PASSWORD": "admin",
        "MOBI_IGNORE_CERT": "true"
      }
    }
  }
}

-- Note: You'll have to adjust the paths as absolute paths are required :)

Claude Desktop leverages the stdio MCP transport, but this server also supports SSE as well (you can run the mobi-mcp python script with the argument --sse).

This also assumes that you are running an instance of Mobi as well. If you want to try and run one locally, see instructions HERE.

Configuration

The MCP server requires the following environment variables:

• MOBI_BASE_URL: The base URL of your Mobi instance (e.g., https://localhost:8443)
• MOBI_USERNAME: Username for Mobi authentication
• MOBI_PASSWORD: Password for Mobi authentication
• MOBI_IGNORE_CERT: Set to "true" to ignore SSL certificate verification (useful for self-signed certificates)

Repository Structure

The repository is organized to maintain a clean separation between the Mobi API interaction layer and the MCP protocol implementation:

• src/mobi.py - Contains the core Mobi API client functionality, handling authentication, API calls, and data processing
• src/mobi-mcp.py - The main MCP server implementation that bridges Mobi functionality with the Model Context Protocol
• Dockerfile - Enables containerized deployment of the MCP server
• Makefile - Provides convenient commands for environment setup and container management
• requirements.txt - Lists all Python package dependencies needed for the project

Current Tools

The Mobi MCP Server exposes the following tools for interacting with your Mobi instance:

Search and Discovery Tools

record_search

Search the Mobi catalog for records matching specified criteria.

• Parameters:
  • offset (int): Starting index for pagination
  • limit (int): Maximum number of records to retrieve
  • search_text (str, optional): Text to search for in records
  • keywords (list[str], optional): Keywords to match against records
  • types (list[str], optional): Record types to filter by. Valid types:
    • http://mobi.com/ontologies/ontology-editor#OntologyRecord (Ontology/Vocabulary)
    • http://mobi.com/ontologies/shapes-graph-editor#ShapesGraphRecord (SHACL)
    • http://mobi.com/ontologies/delimited#MappingRecord (Mappings)
    • http://mobi.com/ontologies/dataset#DatasetRecord (Datasets)

entity_search

Search the Mobi catalog for records whose metadata contain a specified string.

• Parameters:
  • search_for (str): Substring to search for within entities' metadata
  • offset (int): Starting point within the result set
  • limit (int): Maximum number of entities to return
  • types (list[str], optional): Entity types to filter by
  • keywords (list[str], optional): Keywords to filter by

Data Retrieval Tools

fetch_ontology_data

Fetch ontology data for a given ontology record IRI.

• Parameters:
  • ontology_iri (str): The IRI of the record containing the ontology data (not the ontology IRI itself)
• Note: Use the record IRI from search results, typically in the format https://mobi.com/records#<uuid>

get_shapes_graph

Retrieve the shapes graph for a specified record.

• Parameters:
  • record_id (str): Unique identifier for the record
  • branch_id (str, optional): Branch identifier within the record
  • commit_id (str, optional): Commit identifier to target

Content Creation Tools

create_ontology_record

Create a new ontology record from RDF data and metadata.

• Parameters:
  • rdf_string (str): The RDF data as a string
  • rdf_format (str): Format of the RDF data (e.g., "xml", "turtle")
  • title (str): Title of the ontology
  • description (str): Textual description of the ontology
  • markdown_description (str, optional): Markdown version of the description
  • keywords (list[str], optional): Keywords associated with the ontology
• Note: Confirmation with the user is recommended before creating new records

Version Control Tools

create_branch_on_record

Create a new branch on an existing record.

• Parameters:
  • record_iri (str): IRI of the record
  • title (str): Title of the new branch
  • description (str): Description of the new branch
  • commit_iri (str): IRI of the commit to use as reference

Usage Notes

• All tools interact with Mobi's git-inspired versioning system
• Record IRIs are typically returned from search operations
• The server follows semantic versioning practices similar to git repositories
• Always verify record and branch IRIs before performing write operations