Dataparency AI Agent MCP Server: Intelligent Data Management & Access Control for AI Agents
Empower your organization with our comprehensive AI Agent Model Context Protocol Server. Dataparency delivers enterprise-grade data management with intelligent access control and robust entity management capabilities designed for modern data ecosystems.
Streamlined AI Agent Precepts Retrieval System
Latest Precepts
Retrieve current environment state with a single API call for real-time decision making
Event Lists
Access complete logs of environment events with advanced filtering capabilities
Timestamp Queries
Pinpoint specific events by timestamp with millisecond precision
Our Precepts Retrieval System gives you complete visibility into your environment state. Engineers can seamlessly integrate with Network Clients that provide both broad oversight and precise granularity. The system efficiently handles high-volume requests while maintaining sub-second response times, ensuring your applications always have access to the most current environmental data.
AI Agent Persistent Action Store
Capture
Record actions with complete context and metadata
Associate
Link actions to specific environment states
Protect
Enforce immutability and access controls
Retrieve
Query action history with powerful filters
The Persistent Action Store creates an immutable record of all actions taken against your environment. Each action is automatically timestamped, associated with the initiating entity, and linked to the precise environment state at execution time. This ensures complete auditability and enables sophisticated analysis of system behavior over time, essential for debugging complex interaction patterns.
Entity Access Control System
Granular Permissions
Define precise access rights down to individual data fields
Hierarchical Structure
Group Hierarchies organize permissions in intuitive, inheritable patterns
Zero-Trust Architecture
Every access attempt verified regardless of source
Our Entity Access Control System allows for sophisticated multi-level permission management. Any entity can query the system to determine its access rights relative to any other entity, whether that's an environment, AI model, prompt, or historical data. This capability enables development of self-regulating systems where components automatically respect established boundaries while maintaining complete visibility into permission relationships.
Dynamic Entity Creation
Define Entity Parameters
Specify entity name, and unique identifiers through straightforward API calls. Entities can represent users, services, data sets, or AI components within your system.
Assign Roles
Attach predefined or custom roles that determine the entity's capabilities and access rights. Multiple roles can be combined to create precise permission profiles.
Associate with Groups
Add the entity to existing groups for simplified management and inherited permissions, enabling scalable administration of large systems.
Create entities programmatically with our robust API, enabling automated provisioning for complex systems. Each entity can be configured with specific roles that define its capabilities while maintaining strict security boundaries. The system supports both human and non-human entities with identical structures but differentiated authentication mechanisms.
Relationship Distributed Identifier (RDID) Management
Target Definition
Specify the data owner
Access Scope
Configure read/write permissions
Time Constraints
Set precise expiration parameters
RDIDs (Relationship Distributed Identifiers) provide, purpose-specific access to protected resources. Each RDID clearly defines the target data owner, the requesting entity, specific access rights (read-only or read-write), and mandatory expiration parameters. This approach implements the principle of least privilege while maintaining flexibility for legitimate access needs. RDIDs can be programmatically generated, revoked, or extended based on operational requirements.
Group Management Architecture
Group Creation
Define new group entities with specific attributes and permission sets. Groups serve as permission parameters that can be rapidly applied to multiple entities.
Custom hierarchical structures allow for organization-specific implementations that match existing security models.
Bulk Operations
Import entity-to-group mappings via CSV for efficient large-scale deployments. This functionality streamlines migrations from legacy systems and supports regular synchronization with external identity providers.
Validation checks ensure all referenced entities exist before committing group associations.
Relationship Management
Add or remove individual entities from groups through simple API calls. Changes propagate immediately to all Network nodes to ensure consistent permission application across the system.
Comprehensive audit trails record all group membership changes for compliance and security review purposes.
Role-Based Entity Creation
Pre-Configured Permission Roles
Create entities using predefined permissions. This accelerates deployment while ensuring consistent security implementations.
Inheritance Patterns
There are no Entity inheritance hierarchies precluding permissions pivots, a major fault with other systems.
Customization Options
Fine-tune document attribute access through role definitions with granular permission adjustments to meet specific operational requirements without compromising security principles.
The Role-Based Entity Creation system simplifies provisioning while maintaining security rigor. Engineers can rapidly deploy new entities using common roles, ensuring standardized permission sets across your infrastructure. For specialized cases, custom group definitions provide complete flexibility while maintaining compatibility with the broader security architecture.
System Architecture Overview
MCP Core
Central processing engine handling all requests with redundant failover capabilities and distributed processing for high availability deployments.
Storage Layer
Scalable, immutable data storage with automatic replication of data at each network endpoint. Configurable, by Entity, retention policies for compliance requirements.
Security Module
Comprehensive authentication, authorization, and audit subsystem implementing defense-in-depth strategies with hardware security module integration options.
API Gateway
Network Client Library in Go (golang) and Python for secure request messaging with comprehensive documentation and example use cases.
Integration Capabilities
Dataparency AI Agent MCP Server offers multiple integration pathways to fit your existing infrastructure. Authentication integrations with LDAP, Active Directory, and SAML/SSO enable seamless user management within your existing identity ecosystem. All integrations feature comprehensive logging and monitoring capabilities.
Deployment Options
Cloud-Native Deployment
Deploy Dataparency in your preferred cloud environment with our Kubernetes-ready containers. Auto-scaling configurations ensure optimal resource utilization while maintaining performance SLAs. Cloud-specific optimizations available for AWS, Azure, and GCP.
On-Premises Installation
For organizations with strict data sovereignty requirements, our on-premises deployment package supports air-gapped environments. Hardware recommendations scale from department-level deployments to enterprise-wide implementations with high availability configurations.
Hybrid Architecture
Combine cloud flexibility with on-premises security using our hybrid deployment model. Sensitive operations remain within your security perimeter while leveraging cloud resources for scalability and disaster recovery.
Containerized Microservices
Each functional component is available as a discrete microservice, allowing custom deployment topologies. This approach enables granular scaling of specific capabilities based on your usage patterns while simplifying updates and maintenance.