Connect SystemLineage

SystemLineage MCP for AI Agents

Let an approved AI agent use specific SystemLineage tools without giving it unrestricted account access.

Tired of this?

An AI agent cannot safely help with business records when its permissions are vague or broader than the task.

Here is the fix

Connect an approved agent through named read-only tools, exact module permissions and a reviewable audit trail.

Illustrative workflow

MCP for AI Agents connection review

Runtime disabled

Connect an approved agent through named read-only tools, exact module permissions and a reviewable audit trail.

  1. Step 1Choose the AI assistant and the exact business questions it should answer.

    List the SystemLineage tools available to the authenticated connection

  2. Step 2Grant only the required SystemLineage module and tool permissions.

    Read a bounded set of approved module records

  3. Step 3Test ordinary requests, altered identifiers and prompt-injection attempts in an isolated workspace.

    Keep write operations unavailable in the first MCP release

  4. Step 4Approve the connection, monitor its audit history and revoke access when it is no longer needed.

    Return structured, safe errors without exposing private system details

Sample labels only. This preview does not show customer or account data.

Who this is for

Common reasons to use MCP for AI Agents.

Businesses that want an approved AI assistant to find or act on specific SystemLineage records while keeping people, companies and permissions separated.

Ask an approved agent to find a low-stock item or current job record

Summarize permitted KPI or inventory information for a named business task

Prepare a human-reviewed next step without allowing the agent to write business records

Connect an internal AI assistant without exposing a staff password or unrestricted data

Core benefits

Useful access without opening the whole account.

Named tools describe exactly what the connected agent may request

A read-only first release with human-controlled module permissions

Tenant and module checks still apply to every tool call

Revocation, rate limits and audit history keep agent access reviewable

Connection scope

Supported operations with a bounded connection surface.

List the SystemLineage tools available to the authenticated connection

Read a bounded set of approved module records

Keep write operations unavailable in the first MCP release

Return structured, safe errors without exposing private system details

Normal workflow

Approve the purpose before opening access.

Choose the AI assistant and the exact business questions it should answer.

Grant only the required SystemLineage module and tool permissions.

Test ordinary requests, altered identifiers and prompt-injection attempts in an isolated workspace.

Approve the connection, monitor its audit history and revoke access when it is no longer needed.

Security and data

Account boundaries apply to every request.

  • The authenticated organization, entitlement and exact tool scope are checked for every call
  • Tool inputs are validated and results are bounded before business data is returned
  • Instructions inside customer data cannot grant new tools or disclose unrelated records
  • Secrets must be rotatable and revocable, with rate limits and auditable outcomes

Clear boundaries

What this connection does not include.

  • No arbitrary tool creation, shell commands, code execution or direct database access
  • No hidden access to another company, disabled module or private file path
  • No automatic write permission because a prompt asks for it
  • No bundled third-party AI usage, model credits or agent hosting
Connection standard

The prepared connector follows MCP 2026-07-28 with one stateless Streamable HTTP POST endpoint and two read-only tools.

Prepared, not live

The application-side connection code and documentation are prepared for guarded testing. Runtime MCP access remains disabled until Clerk, the production database, scoped credential or OAuth setup and witnessed tenant-isolation and prompt-injection tests are complete.

Pricing status

MCP pricing and included usage limits are not published yet. Third-party AI or model costs are not bundled unless the owner approves a specific paid provider and catalog.

Questions answered plainly

Before requesting a connection.

What is MCP for AI agents?

Model Context Protocol, or MCP, is a standard way for an AI application to discover and call named tools. SystemLineage's planned MCP connection exposes only approved business operations, keeps read access as the default and still checks the authenticated organization, enabled modules and exact tool scope.

Can an AI prompt bypass SystemLineage permissions?

It must not. Text inside a prompt or business record cannot grant a tool, change an organization or widen a scope. The server must enforce the authenticated tenant and permission on every call, validate inputs, limit results and record the action independently of the agent's wording.

Are AI model costs included?

No model, agent or telephony usage is included at this stage. A customer supplies and pays for any approved AI provider separately. SystemLineage pricing and usage limits remain an owner decision until the secured runtime is tested under the intended pilot load.

Related software

Continue with the closest connected product.

Request an MCP connection review

Tell SystemLineage which system, records and result you need. The request opens a draft for you to review; it does not activate access or start billing.

Request an MCP connection review