Knowledge software with an MCP connection: what to look for.

What the connection is for

MCP is a standard way for a compatible AI application to use tools and request information from another service. For a team, the practical question is simple: can the AI tool you already use find the company information it needs without someone repeatedly pasting the background?

A connection is only one part of that experience. The quality and completeness of the underlying knowledge, the access rules, and the tool’s supported actions still matter.

Notion MCP: access to a Notion workspace

Notion documents MCP connections between compatible AI apps and a Notion workspace, with administrator controls for approved external AI apps.

Evaluate this route when the information you need is in Notion. Test the particular actions you intend to permit and check the current client and workspace requirements. Be specific about whether you need reading, writing, or both.

Source: Notion: Notion MCP

Glean MCP: configurable tools for company context

Glean documents administrator-created MCP servers with selected built-in tools and agents. Each server can be configured for a particular use case.

Ask the administrator to demonstrate the available tools in your intended client. Confirm which employee identity the requests use and how the result changes for someone with different source access.

Source: Glean: creating MCP servers

Sirca: company sources and employee expertise

Sirca offers an MCP connection for compatible clients, with requests tied to the signed-in user’s access. Approved Knowledge Interviews can add the human explanations that existing documents leave out.

Consider this when your goal is to give AI company context across supported sources and captured employee experience. Check source availability, plan limits, processing status, and your AI client’s requirements before relying on an answer.

Source: Sirca for teams using AI

Ask about access before convenience

Use a small test with two employees who have different permissions. Ask the same question from each account and inspect the evidence returned. Then change or remove a source and check the subsequent result.

Have your team approve what the client is allowed to do. An assistant that can read information and one that can modify records present different operational choices. Prefer the narrow set of actions required for the actual task.

• Does this exact client support the connection and authentication method?
• Whose identity and permissions apply to each request?
• Which actions are enabled, and can they change company data?
• Does the answer include evidence a person can inspect?
• What happens after access changes or a contribution is withdrawn?

Evaluate the answer, not just the successful login

A good first test asks about something already documented. A better second test asks about an exception that needs context from an expert. Use both to identify whether your gap is connectivity, source coverage, or missing knowledge.

Keep human review for consequential decisions. A connected assistant can still misunderstand a question or give an incomplete answer; clear sources make checking it more practical.