Knowledge Management Tools: 4 Ways to Access Company Knowledge at Work
Compare browser sidebars, in-app panels, enterprise search, and MCP access by who needs company knowledge and where they work.
Employees and AI agents need company knowledge at different working surfaces. Choose a browser sidebar, an in-app panel, enterprise search, or MCP access by where the question arises and whether a person or an agent needs to read or write. This guide helps select the entry point rather than redesign the source-ingestion system.
Key takeaways
Match the entry point to who asks and where the answer is needed.
- Use a browser extension when people need a shared entry point across browser-based tools.
- Embed a knowledge panel when the question belongs to a record or task in one application.
- Use enterprise search or chat when employees need answers across connected systems.
- Connect an agent to a shared knowledge store over MCP when developers need agent read and write access.
Choose the access pattern by user and knowledge scope
Use the same four criteria for every candidate: the primary user, where the question is asked, how much knowledge scope the task needs, and which access boundary governs the answer.
| Access pattern | Primary user and question location | Knowledge scope | Best fit |
|---|---|---|---|
| Browser extension or sidebar | Employee working in browser tabs | Search or knowledge connected behind the extension; page interaction depends on host permissions | People move among several browser-based tools and want one consistent access point |
| In-app widget or embedded panel | Employee working in one application screen | Host-specific context and the sources connected to the app | The answer depends on the current ticket, case, record, or task |
| Enterprise search or chat | Employee asking from a shared search surface | Multiple connected systems, with source identity and permissions configured | A useful answer combines company sources or employees need cross-system discovery |
| MCP-connected agent client | Developer integrating an AI agent | Shared knowledge exposed to that client through an MCP server | An agent needs to read or write reusable organizational knowledge; Dnotitia AKB is a documented option |
1. Use a browser sidebar when people work across sites
A browser extension suits employees who move among several browser-based work tools and want one familiar place to ask for company information. Its browser placement and access to knowledge sources are separate decisions: connected sources determine what its search can retrieve.
For Chrome extensions, host permissions define which websites an extension can interact with. Chrome Enterprise guidance and Microsoft Edge guidance describe reviewing extension permissions and managing where extensions can operate. Check which sites the extension needs to access and whether the company can define an appropriate allowed scope.
A browser sidebar fits best when employees ask recurring questions while switching among browser-based applications, and those questions do not depend on a specific record in the page they are viewing. For example, a person moving among a project tracker, an internal handbook, and a customer-support application may benefit from a consistent knowledge search surface.
A browser sidebar can also use the current page or record as context when the extension is explicitly permitted to access it and is implemented to pass that context into the answer. Treat this as a conditional fit: verify that the context is reliable for the records employees use, that host permissions and access boundaries are appropriate, and that the integration effort is justified. An embedded panel may offer a more direct fit when the workflow depends on application-specific fields or events.
Pilot the extension with one policy lookup in a project tracker and another in a support application. Observe whether it opens a separate search surface or interacts with the current page, since those functions serve different tasks.
2. Embed help when the question belongs to one application
An embedded panel fits employees whose questions arise inside one application and depend on the work item currently open there. An embedded surface puts the knowledge action close to that record, so employees can consult guidance during the task.
For example, a Zendesk Support panel in a ticket’s right-side panel can surface guidance for the ticket an agent is handling. Zendesk’s app manifest reference notes that available locations vary by product, and its app setup guide explains that only apps on a ticket page can get or set ticket properties and listen for changes. Confirm that the chosen location supports the fields and events the answer needs.
Slack’s App Home documentation describes a private user–app space with an optional persistent Home tab, while a modal is a short-lived surface for a specific task.
Choose an embedded panel when most requests belong to one product workflow, such as explaining a support policy while an agent handles a ticket or surfacing an internal procedure in a case-management screen. The narrower setting can make the answer easier to apply because the employee stays beside the task.
3. Use enterprise search when answers span connected systems
The connector scope needs to match the question: an answer that combines a handbook, collaboration system, document store, and business application depends on those relevant repositories being connected and permissioned for the employee.
In Microsoft 365, synced Copilot connectors ingest external items into the Microsoft Graph index; each item includes content, metadata such as a title and URL, and an access-control list (ACL) for permissions. For self-serve synced connectors, each user can connect their own content using their identity, credentials, and consent; the model enforces source permissions so users see content they already have access to.
Microsoft’s federated connector overview describes live data fetch through MCP, with the authenticated user’s identity and source-system permissions governing access; federated connectors do not index external data into Microsoft 365. Synced and federated connectors use different data flows, so compare source coverage, identity setup, freshness expectations, and administrative ownership for the planned deployment.
Google Agent Search uses an end user’s identity to determine whether that user can access documents returned in search results, per Google Cloud’s access-control guide. It supports access control for sources including Cloud Storage, BigQuery, Google Drive, and third-party data sources. For structured Cloud Storage data, the documentation directs administrators to include reader information in an acl_info field.
During a pilot, open the link displayed by the search interface and confirm that it reaches the expected source document for that user.
Use enterprise search when the employee’s question naturally combines sources, when employees need a common discovery surface, or when the same question should be asked without opening a specific business record first. A request such as “What is the current policy, and which procedure explains the exception?” can draw on different documents. Cross-system search can serve that task if the connectors cover both sources, the index or federation model is appropriate, and the user’s access is enforced as intended.
List each repository employees expect the search tool to cover, confirm a supported connector path, and identify an owner for setup. Record whether each connector syncs content or fetches it from the source at query time. Test one question whose answer spans two systems, one restricted document with accounts that have different access, and one answer from a source updated after ingestion.
4. Connect an agent to a shared knowledge store over MCP
Dnotitia’s AKB README describes shared, agent-facing knowledge across documents, tables, files, and relations, with search and read/write access through MCP. This makes AKB relevant when developers want an agent to use reusable organizational knowledge. Test a known-record read and, if the workflow requires it, a separate write; inspect the saved record and its version history.
MCP is an integration path, not a memory layer: transport alone does not persist knowledge or automatically inherit permissions from underlying source systems. Verify which identity the server receives, how it enforces authentication and authorization, and whether the deployed client, transport, and server protocol version are compatible. Test access with the actual allowed and denied identities.
As an implementation check, MCP connects a host and client to a server; transport and protocol version affect how communication is established and whether session state is used, so a dedicated persistent connection is not required for every deployment. The MCP architecture overview explains these roles. The AKB README documents PostgreSQL-native revisions for new installations, continued support for explicit Bare Git installations, and stdio proxy and direct HTTP access paths. Confirm the specific client, transport, and protocol-version combination for the deployment.
Check retention, export, and recovery separately by resource type. Document revision history does not establish recovery for table state, file attachments, agent-session records, or audit events. The browser, Zendesk, Slack, and enterprise-search examples above describe access patterns; they are not claims of ready-made AKB integrations.
An agent can use AKB while employees continue to use a browser sidebar, an in-app panel, or enterprise search for their own questions.
Pilot one recurring employee question and one agent workflow, then choose the working surface and knowledge scope that fit each task.
Record the access-surface decision
For one recurring question, record the user, application screen, required source versions, permitted audience, integration owner, and selected entry point. Test the same question as an allowed and a denied identity, including snippets and source links. When the open ticket or record changes, check that its context also changes and cached answers stay within the new scope.
Related background: Knowledge Base Ingestion, Governance, and In-Workflow Delivery
FAQ
What are some effective tools for knowledge management?
Effective tools depend on where people or agents need company knowledge: use a browser sidebar across sites, an embedded panel inside one application, enterprise search across connected systems, or an MCP-connected store such as AKB for agents that need shared read and write access.
Read the AKB documentation
Review the documented knowledge and integration workflows for your AKB deployment.
