Registry MCP
A Model Context Protocol server for assisting users in registering their MCP servers, knowledge graph components, and other biomedical tools to the BioContextAI registry.
README
Registry MCP
A Model Context Protocol (MCP) server for assisting users in registering their MCP servers, knowledge graph components, and other biomedical tools to the BioContextAI registry.
🚀 Quick Start
To use this MCP server to submit your project to the BioContext registry, simply ask your AI assistant:
"Help me submit this project to the BioContext registry"
The MCP will automatically:
- Analyze your project - Extract metadata from your project files
- Generate YAML - Create a schema.org-compatible specification
- Validate - Check the specification against registry requirements
- Request confirmation - Ask you to review before submission
- Submit - Send your project to the registry (after your confirmation)
Prerequisites
- Install the MCP server in your AI assistant
- Have your project ready with a
pyproject.toml,README.md, or similar metadata files
Overview
The Registry MCP provides a comprehensive set of tools to help users create, validate, and submit schema.org-compatible YAML specifications to the BioContextAI registry. It follows the same pattern as the biocypher-mcp repository, providing structured guidance and automation for registry submissions.
Features
Core Functionality
- Project Analysis: Automatically extract metadata from existing project files (pyproject.toml, README.md, etc.)
- YAML Generation: Create schema.org-compatible YAML specifications from user input
- Validation: Validate submissions against the registry schema with detailed feedback
- API Submission: Submit validated specifications to the registry REST API
- Troubleshooting: Comprehensive guidance and error resolution
Available Tools
Registry Submission Tools
analyze_project_directory_tool- Analyze project directory to extract metadatagenerate_yaml_template_tool- Generate YAML template from metadatavalidate_yaml_specification_tool- Validate YAML against registry schemasubmit_to_registry_tool- Request submission (requires user confirmation)confirm_and_submit_to_registry_tool- Actually submit after user confirmationget_registry_schema_tool- Get the complete registry schema
Guidance and Troubleshooting Tools
get_registry_workflow_guidance_tool- Get step-by-step submission workflowget_example_submissions_tool- Get example YAML submissionsget_troubleshooting_guide_tool- Get comprehensive troubleshooting guideget_field_guidance_tool- Get detailed guidance for specific fields
Installation
# Clone the repository
git clone https://github.com/slolab/registry-mcp.git
cd registry-mcp
# Install dependencies
uv sync
# Run the MCP server
uv run registry_mcp
# Or test the installation
uv run registry_mcp --version
uv run registry_mcp --help
Usage
Basic Workflow
-
Analyze your project:
# Use the MCP tool to analyze your project directory result = analyze_project_directory_tool(".") -
Generate YAML template:
# Create YAML from your metadata yaml_content = generate_yaml_template_tool({ "identifier": "your-username/your-repo", "name": "Your MCP Server", "description": "Description of your MCP server", # ... other metadata }) -
Validate specification:
# Validate the YAML validation_result = validate_yaml_specification_tool(yaml_content) -
Submit to registry (with file-based confirmation):
# First, create YAML file and request confirmation # Specify project_path to save meta.yaml in the project directory submission_request = submit_to_registry_tool(yaml_content, project_path=".") # The tool will create a YAML file and return confirmation request if submission_request.get("requires_confirmation"): print(submission_request["confirmation_message"]) yaml_file_path = submission_request["yaml_file"] # User must explicitly confirm before actual submission # After user confirms, call: submission_result = confirm_and_submit_to_registry_tool(yaml_file_path)
File-Based User Confirmation Workflow
The registry submission process now uses a robust file-based confirmation system to prevent accidental submissions:
- YAML File Creation:
submit_to_registry_tool()validates the YAML and creates ameta.yamlfile withuser_confirmed: falsein the specified project directory (defaults to current directory) - User Review: The tool displays submission details and asks for confirmation
- User Decision: User must explicitly confirm with "Yes, submit to registry" or "Confirm submission"
- Confirmation Update:
confirm_and_submit_to_registry_tool()setsuser_confirmed: trueand performs the submission - Status Checking:
check_yaml_file_status_tool()allows checking the current status of any YAML file
Important: The meta.yaml file will be created in the specified project directory. Use the project_path parameter to ensure it's saved in the correct location.
This ensures users have full control over when their MCP servers are submitted to the public registry, with a persistent record of the confirmation state.
Example YAML Structure
Based on the BioCypher MCP example:
"@context": https://schema.org
"@type": SoftwareApplication
"@id": https://github.com/your-username/your-mcp
identifier: your-username/your-mcp
name: Your MCP Server Name
description: >
A detailed description of your MCP server's functionality,
use cases, and target audience.
codeRepository: https://github.com/your-username/your-mcp
url: https://your-mcp.example.com # Optional
softwareHelp:
"@type": CreativeWork
url: https://your-mcp.example.com/docs
name: Your MCP Documentation
maintainer:
- "@type": Person
name: Your Name
identifier: "GitHub: your-username"
url: https://github.com/your-username
license: https://spdx.org/licenses/MIT.html
applicationCategory: HealthApplication
keywords:
- keyword1
- keyword2
- keyword3
operatingSystem:
- Cross-platform
programmingLanguage:
- Python
featureList:
- Feature 1
- Feature 2
- Feature 3
user_confirmed: false # Set to true only after user confirmation
Schema Requirements
The registry uses a schema.org-compatible specification with the following required fields:
Required Fields
@context: Must be "https://schema.org"@type: Must be "SoftwareApplication"@id: Unique identifier URI (typically GitHub URL)identifier: Repository identifier in format "owner/repository"name: Component name (1-100 characters)description: Detailed description (10-1000 characters)codeRepository: Repository URL (GitHub, GitLab, Bitbucket, or Codeberg)maintainer: Maintainer information (Person or Organization)license: SPDX license URLapplicationCategory: Application typekeywords: 1-10 relevant keywordsprogrammingLanguage: Programming languages used
Optional Fields
url: Remote hosting URLsoftwareHelp: Documentation/help resourcefeatureList: List of features/capabilitiesoperatingSystem: Supported operating systemsuser_confirmed: User confirmation flag (boolean, defaults to false)
Registry Schema
The registry follows a strict JSON schema for validation. You can retrieve the complete schema using:
schema = get_registry_schema_tool()
Troubleshooting
Common Issues
- Invalid identifier format: Use "owner/repository" format
- Missing required fields: Ensure all required fields are present
- Invalid license format: Use SPDX format (https://spdx.org/licenses/LICENSE.html)
- Unsupported repository: Use GitHub, GitLab, Bitbucket, or Codeberg
Getting Help
Use the troubleshooting tools for detailed guidance:
# Get comprehensive troubleshooting guide
troubleshooting = get_troubleshooting_guide_tool()
# Get guidance for specific fields
field_help = get_field_guidance_tool("identifier")
# Get workflow guidance
workflow = get_registry_workflow_guidance_tool()
Development
Running Tests
# Run the test suite
uv run python test_registry_mcp.py
Project Structure
src/registry_mcp/
├── __init__.py
├── main.py # CLI entry point
├── mcp.py # MCP server configuration
└── tools/
├── __init__.py
├── _greet.py # Example tool
├── registry_submission.py # Core submission tools
└── registry_guidance.py # Guidance and troubleshooting
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related Projects
- BioCypher MCP - MCP server for BioCypher workflows
- BioContextAI Registry - The registry this MCP submits to
- Model Context Protocol - The MCP specification
Support
For issues and questions:
- Create an issue on GitHub
- Check the troubleshooting guide
- Review the example submissions
- Use the field guidance tools
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