Have you ever wondered how KYB would be so much easier and more efficient if you could just connect your AI assistant directly to a KYB verification workflow? An MCP (Model Context Protocol) makes that possible. MCP servers connect AI applications to other tools and workflows. In fact, MCP acts as the main connection between the AI app and the external tool without having to build a custom integration. However, organizations initially need to configure, connect it to the underlying service, implement authentication, and configure the supported AI client.
When it comes to MCP for KYB verification, the AI assistants and apps have the advantage of strong reasoning and workflow guidance but, on the other hand, these AI tools do not have the ability to independently access or verify live business data. Compliancely MCP bridges this gap by connecting your AI tool directly to live verification services.
As we previously mentioned, MCP, Model Context Protocol, acts as the connector between an AI tool and an external system. It is an open standard that gives AI applications the ability to communicate with external tools, APIs, and data sources.
Compliancely MCP is a Model Context Protocol server that connects to AI tools such as Claude, ChatGPT, and Gemini to get access to live verification services, such as KYB checks, TIN matching, sanctions screening, address validation, and other compliance workflows. The AI tool can run verified checks against authoritative sources instead of relying on training data.
As a result, your teams can connect Claude to TIN matching and use AI OFAC screening as part of their compliance workflows by simply using a simple natural language prompt (subject to account permissions, platform configuration, and applicable use restrictions). This reduces manual switching across different systems which can be disruptive to your workflow, and keep verification activity tied to the original request, inputs used, and results returned.
AI Assistants Can’t Verify Compliance Data on Their Own
Compliance decisions should be based on current, relevant data from authoritative sources, not historical ones. However, AI models are not live verification services and can’t independently verify current authoritative records. AI models are trained on historical information and as a result can understand requests, reason through workflows, explain regulations, and summarize the results very well. But what it doesn’t do is that it cannot independently determine whether a company is currently active, whether a submitted name–TIN combination matches IRS records, or whether someone was added to an OFAC sanctions list yesterday.
The databases used to verify records, including business registrations sanctions lists, tax records, address data, etc., are changing frequently. And by connecting AI tools to Compliancely MCP, which works as an AI compliance verification API, you can get live verification done with results based on the latest updates rather than historical or static knowledge alone.
Where Compliancely MCP Fits in an AI-Assisted Compliance Workflow
Compliancely MCP works by connecting Compliancely’ verification suite with AI tools. So, instead of having to switch between different applications to complete a compliance review, you can ask your AI assistant to perform a verification task, and the MCP server securely connects it to the appropriate Compliancely check. The workflow looks like this:
- The verification request starts by asking the AI tool to verify using a prompt
- Based on the request, the MCP layer identifies the best Compliancely tool for the verification
- Once the correct tool is identified, the AI sends the request to Compliancely’s live verification services
- The verification results are returned in a structured format. You can use an AI tool here to explain the results in easy-to-understand language.
- Every verification request, along with the information submitted for verification, the checks performed, and the results returned is stored and documented for audit purposes.
But this doesn’t mean Compliancely MCP replaces human reviewers; the final decision remains the responsibility of the compliance team.
Type of KYB Checks Available Through Compliancely MCP
Compliancely MCP offers the following KYB checks to clients who want to connect their AI tool with live verification services:
- TIN Matching: Checks TIN and name against IRS records before filing applicable information returns and may help reduce mismatches, B Notices, and related filing
- OFAC/Watchlist Screening: Screens against applicable sanctions and watchlists. PEP screening is a separate risk-screening process where supported.
- DMF Verification: Checks submitted identity data against the available Death Master File to identify a potential deceased-person match. The result should be treated as a risk indicator to prevent fraud and getting involved with any potential misuse of data.
- Address Validation: Verifies addresses are against applicable USPS address data and may assess deliverability when supported by the specific USPS-certified product or data set.
- Tax-exempt Verification: Confirms nonprofit, tax-exempt status, or tax-related classification details.
- Business Registry Verification: Checks whether a business legally exists using SOS or other business registration records
Difference Between Compliancely MCP & AI Assistant
| Generic AI Assistant | Compliancely MCP | |
|---|---|---|
| Data currency | Relies on training data | Uses live and authoritative sources |
| Action Capability | Explains what to check | Executes the approved checks |
| Traceability | No verifiable records in general (may retain conversation, tool-call if specified) | Audit-ready result that is tied to the request |
| Governance | No access controls | Approved actions only |
Compliancely MCP Across Different AI Clients: Claude, Gemini, and ChatGPT
Compliancely MCP is AI-model agnostic, meaning you can use multiple AI tools with the MCP server to access the same verification services. So that no matter which AI tool your team prefers, Claude, Gemini, or ChatGPT, Compliancely can perform the verification.
1. Claude
Claude is great for complex workflows and to understand verification results. With Compliancely MCP, Claude can initiate live verification checks and explain the results in plain language.
2. Gemini
Connect Gemini to Compliancely MCP for AI-assisted review and to perform checks such as business verification, TIN matching, sanctions screening, and address validation.
3. ChatGPT
Run checks like TIN Match, watchlist screening, TIN verification using simple language prompts and get the results in an easy to read format.
How Compliancely Supports End-to-End AI-Assisted Verification
Compliancely MCP brings API-first architecture into the verification workflow. This means your teams can send verification requests and receive results without doing everything manually.
1. KYB and TIN verification
Compliancely MCP uses live verification data to verify a business, matching a TIN, checking sanctions lists, and validating an address. .
2. Single MCP Connection Across AI Clients
It gives AI tools a standard way to connect to external services. There is no need to build or design separate integration workflows for every AI assistant or tool.
3. Approved Verification Workflows Only
The AI assistant does not get open-ended access to everything. There are controls that allow Compliancely to be used only for certain checks in a workflow.
4. Structured, Audit-Ready Results
Compliancely MCP provides the verification results in an organized format that is also documented every step of the way, from request to which checks were performed, and what results came back.
5. PII-Safe, Minimal Data Usage
It supports secure testing without using real sensitive data. When it comes to a real use case, only the necessary information is used for each check, to reduce unnecessary exposure of personal or sensitive data.
Connecting your AI assistant to Compliancely MCP allows the AI assistant to securely access approved verification tools using natural language. And once its connected to Compliancely MCP, you can run verification checks with a single prompt. But before starting, make sure that you have a Compliancely account. If not, you can sign up to create an account to ensure the verification services you plan to use are enabled.
Compliancely MCP currently supports integration with ChatGPT, Claude, and Gemini.
Step 1:
Navigate to your AI assistant’s integration or connector settings and follow the platform’s instructions for connecting external applications.
- For Claude: Go to Settings > Integrations or Connectors to connect to the MCP server.
- For ChatGPT: On supported ChatGPT Business and Enterprise/Edu web workspaces, an administrator or owner can enable developer mode and create or publish a custom MCP app through the workspace’s app and permission settings.
- For Gemini: Use a supported Gemini developer interface, such as the Interactions API, to configure a remote MCP server in the tools configuration.
Step 2:
When prompted to add an MCP server by your AI tool, enter the Compliancely MCP endpoint. Once connected, your AI assistant will automatically discover the Compliancely verification tools available for your account.
Step 3:
Complete the secure OAuth authorization process. Start by reviewing the requested permission, approving the access, and returning to the AI assistant.
Step 4:
Ask your AI assistant to verify that the connection is active. Once verified, it should confirm the connection and display the verification services available for your account.
Depending on your subscription, these may include:
- Business Verification (KYB)
- IRS TIN Matching
- Address Verification
- OFAC & Sanctions Screening
- Death Master File (DMF) Checks
- Tax-Exempt Status Verification
Performing KYB Verification with Your AI Assistant
- After connecting, your AI assistant can guide you through the KYB process. Provide the business information needed for verification, such as the legal business name, TIN, business address, and other available registration details to start the MCP for KYB process.
- Send a request or prompt to the AI assistant in plain language. For example, to verify TIN, you can connect Claude to TIN matching and ask the AI assistant to begin the verification using a natural language prompt.
- The AI client then sends the request to the Compliancely MCP server with the MCP acting as the connection between AI tool and Compliancely’s verification tools.
- After the verification checks are complete, ask the AI assistant to summarize the findings in a single report. You can also save the verification results with your onboarding or compliance documentation.
How Compliancely MCP Supports KYB Workflow With Examples
Instead of just explaining the technology, we’ll show you real-life examples of how Compliancely MCP actually works in real-life:
Example 1: Using Claude for OFAC screening before onboarding
A compliance analyst uses Claude to confirm a vendor’s OFAC status before onboarding them.
With Compliancely MCP, Claude sends OFAC screening requests through Compliancely MCP, and Compliancely’s verification suite takes care of the screening. The results are returned in a structured and traceable manner.
Example 2: Using ChatGPT to validate TINs
A finance team has been using ChatGPT to validate a batch of TINs before a 1099 filing deadline.
By implementing Compliancely MCP, the team manged to connect their ChatGPT with Compliancely’s TIN match tool to initiate TIN matching instead of requiring the team to perform manual TIN lookups.
Example 3: Using Gemini to verify a new supplier
A procurement team uses Gemini every time they need to verify a new supplier’s business registration.
Compliancely MCP helps by allowing the team to initiate a business registry verification search from Gemini through the MCP connection. Compliancely then verifies the supplier’s business registration records and returns the results.
What to Evaluate Before Connecting an MCP Server to Your Compliance Stack
When planning an MCP server for compliance and verification checks, it’s important to evaluate the tool before adding it to your compliance stack.
- Approved actions only scope: The MCP server should expose only approved verification tools and workflows. This prevents AI from taking unsanctioned actions.
- Structured, consistent outputs: The verification results should follow a consistent format that is easy to review and process.
- Audit traceability: Every verification request should be traceable for compliance review and audit purposes.
- Multi-client Support: An MCP server that can support multiple AI clients, like Claude, Gemini, and ChatGPT through a single standardized connection.
- Data minimization: A good MCP server uses only the required information to perform a request to reduce PII exposure.
Bring compliance verification live to your AI workflows.