MCP Services
Model Context Protocol (MCP) Services
Release.art provides Model Context Protocol (MCP) services that allow organisations to connect internal AI assistants and automated workflows to authoritative UK regulatory and corporate data in a controlled, auditable way.
MCP services form a foundational capability that can be used to support multiple internal systems and workflows.
What MCP provides
Model Context Protocol (MCP) offers a structured, read-only interface for querying trusted external data sources.
Unlike data ingestion or embedding approaches, MCP allows AI systems to access current, authoritative information without copying, scraping, or incorporating that data into model weights.
This enables organisations to:
- Ground AI systems in authoritative regulatory and corporate data
- Maintain control over how and when data is accessed
- Preserve clear data provenance and attribution
- Support audit, risk, and compliance review
- Avoid uncontrolled replication of sensitive or regulated information
- Ensure that the AI models always have access to the most up-to-date data available
Our MCP services are built specifically for regulated and high-trust environments.
Available MCP data services
FCA Regulatory Data MCP
This service provides controlled, read-only MCP access to data published by the UK Finance Conduct Authority.
It is commonly used to support:
- Internal compliance and risk tooling
- Regulatory status and permissions lookups
- AI-assisted research and reference workflows
- Systems that require authoritative regulatory context
The service is intended for internal systems and workflows only.
UK Companies House MCP
This service provides read-only MCP access to data published by the UK Companies house.
Typical internal uses include:
- Company identity and status verification
- Director and ownership context for internal processes
- Due diligence and onboarding support
- Internal research and reporting tools
Access is structured and designed to support traceability and review.
Designed for regulated organisations
MCP services are built with regulated operating assumptions in mind:
- Read-only access by default
- Clear data provenance and source attribution
- Observable and reviewable access patterns
- Suitable for internal audit and assurance processes
- Designed to integrate with existing security and access controls
All MCP services are intended for internal use within client organisations and are not exposed directly to end users or the public.
MCP does not replace human judgement. It provides a mechanism for safely supplying trusted context to systems that support decision-making.
Typical use within client environments
Organisations typically use MCP services as a data foundation for:
- Internal AI assistants used by compliance, legal, or operations teams
- Decision-support workflows that require authoritative context
- Automated processes where correctness and traceability are critical
- Systems operating under audit or regulatory scrutiny
Specific workflows and applications are implemented separately and remain under client control.
Procurement and audit summary
Scope and intent
- Provides controlled access to external regulatory and corporate data
- Supports internal AI-assisted workflows only
- Does not perform compliance, legal, or regulatory decisions
Data access model
- Read-only access by design
- No copying, scraping, or embedding of source data into models
- Clear attribution of data sources
Governance and control
- Designed to integrate with existing access control models
- Access patterns can be logged and reviewed
- Suitable for internal audit and assurance activities
Risk posture
- Reduces risks associated with ad-hoc data ingestion
- Improves defensibility through clear provenance
- Aligns with expectations of regulated and high-trust environments
Limitations and safeguards
Explicit limitations
MCP services:
- Do not make regulatory, legal, or compliance decisions
- Do not provide legal or regulatory advice
- Do not operate autonomously
- Do not guarantee regulatory outcomes
They provide contextual data access only.
Safeguards by design
- Read-only access to external data sources
- Clear separation between data access and decision-making
- Designed for human-in-the-loop systems
- Transparent and traceable use of source data
These safeguards support responsible deployment in regulated environments.
Extending MCP access
Additional MCP data sources can be added on request, subject to:
- Data licensing and usage terms
- Intended use and access model
- Security and governance considerations
If you have a specific regulatory, public, or internal dataset in mind, we can assess suitability and implementation options.
Related solutions
MCP services are commonly used as a foundation for higher-level internal tools and workflows.
For an example of an applied solution built on MCP, see our Regulatory Compliance Assistant.
Get in touch
If you are planning a new system, reviewing an existing one, or exploring how data and AI can be used responsibly in your organisation, we would be happy to talk.
Initial conversations are exploratory and obligation-free.
Contact Us