Mobi MCP Server
A Model Context Protocol server that enables AI models to interact with Mobi instances, providing structured data exchange and command execution for ontology management, data retrieval, and content creation.
README
Mobi MCP Server
This is a Model Context Protocol server that will allow agentic interfacing with a given instance of Mobi (GitHub).
<img src="./logo.png" alt="mobi-mcp-logo" style="width: 80px;" />
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
-
Clone the repository:
git clone <repository-url> cd mobi-mcp -
Create a Python virtual environment:
python3.12 -m venv .venvNote: If you don't have Python 3.10+, install it first:
- macOS:
brew install python@3.12
- macOS:
-
Activate the virtual environment:
- macOS/Linux:
source .venv/bin/activate
- macOS/Linux:
-
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 authenticationMOBI_PASSWORD: Password for Mobi authenticationMOBI_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 processingsrc/mobi-mcp.py- The main MCP server implementation that bridges Mobi functionality with the Model Context ProtocolDockerfile- Enables containerized deployment of the MCP serverMakefile- Provides convenient commands for environment setup and container managementrequirements.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 paginationlimit(int): Maximum number of records to retrievesearch_text(str, optional): Text to search for in recordskeywords(list[str], optional): Keywords to match against recordstypes(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' metadataoffset(int): Starting point within the result setlimit(int): Maximum number of entities to returntypes(list[str], optional): Entity types to filter bykeywords(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 recordbranch_id(str, optional): Branch identifier within the recordcommit_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 stringrdf_format(str): Format of the RDF data (e.g., "xml", "turtle")title(str): Title of the ontologydescription(str): Textual description of the ontologymarkdown_description(str, optional): Markdown version of the descriptionkeywords(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 recordtitle(str): Title of the new branchdescription(str): Description of the new branchcommit_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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.