Document360 MCP. Manage and query your entire knowledge base from chat.
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Document360 is an MCP Server that lets your AI agent manage your entire enterprise knowledge base. It lets you list projects, check versions, find specific articles, and run semantic searches across all your documentation.
You can also track visitor analytics and see which team members are contributing content. It gives your AI client full control over your documentation workflows.
What your AI agents can do
Analytics
Gets key performance metrics and traffic data for the knowledge base.
Get article
Retrieves the full text content for a single, specified article ID.
List articles
Returns a list of article titles and metadata belonging to a given category.
The agent executes semantic queries to find relevant articles within your entire knowledge base.
The agent retrieves a list of all available project versions in the Document360 portal.
The agent retrieves explicit categories that are attached to a specified project version.
The agent pulls the full text content of a specific article using its unique ID.
The agent retrieves a list of article titles and IDs that belong to a specified category.
The agent lists the available user accounts and team members in the system.
The agent pulls performance metrics, including visitor counts and page views, for your knowledge base.
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Supported MCP Clients
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Document360 MCP Server: 7 Tools for Content Control
Use these tools to list projects, search content, manage articles, and audit knowledge base metrics from your AI client.
019d7587analytics
Gets key performance metrics and traffic data for the knowledge base.
019d7587get article
Retrieves the full text content for a single, specified article ID.
019d7587list articles
Returns a list of article titles and metadata belonging to a given category.
019d7587list categories
Returns a list of content categories active within a specific project version.
019d7587list projects
Retrieves a list of all available project versions in the Document360 system.
019d7587list team
Lists the available user accounts and team membership profiles.
019d7587search
Runs a semantic search query to find articles across the entire knowledge base.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Document360, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Your AI agent can manage your whole corporate knowledge base using the Document360 MCP Server. You'll stop bouncing between portals and documentation systems. It gives your agent the full tools to navigate, search, and audit all your content.
To find content, your agent runs a semantic search query that finds relevant articles across your entire knowledge base. You can get a list of all available project versions in the Document360 portal. From a specific project version, your agent pulls a list of attached content categories. If you need to find articles by a specific category, it gives you a list of those article titles and IDs.
For the full text, your agent retrieves the full content of a single article using its unique ID. You can list article titles and metadata belonging to a specific category. The system lists available user accounts and team members, so your agent can check team membership. You can pull key performance metrics and traffic data for the knowledge base, giving you visitor counts and page views.
How Document360 MCP Works
- 1 Subscribe to the Document360 server and enter your API Key. The key must come from Settings > Knowledge base portal > API Tokens.
- 2 Your AI client (Claude, Cursor, etc.) sends a natural language request to the MCP server.
- 3 The server maps the request to the correct tool (e.g.,
search) and returns the structured data or content text directly to your client.
The bottom line is, you talk to your agent, and the agent pulls the structured data from Document360 without you ever leaving your chat window.
Who Is Document360 MCP For?
Technical writers, product managers, and customer support staff use this when manual documentation review slows down their day. They need to know if the documentation is current, what the analytics show, or exactly what an article says—without logging into the web portal first. This saves context switching and time.
Searches for articles and manages categories directly through the agent. They can verify if content exists or what versions are available without navigating the web portal.
Monitors knowledge base analytics and audits team contributions using natural language prompts. They check traffic ranges and contributor profiles.
Quickly searches for documentation and retrieves the full article content to resolve customer inquiries immediately, minimizing research time.
What Changes When You Connect
- You instantly see the project versions with
list_projects, so you don't have to click through a multi-layered web portal to find the correct documentation scope. - Use
searchto run semantic queries. You ask for a concept, and the agent finds the relevant articles, even if the exact keywords aren't in the title. - Track usage with
analytics. You can ask about traffic ranges and visitor interactions without having to run reports in a separate dashboard. - Need to know the content structure?
list_categoriesshows you the physical groupings of articles tied to a specific project version, helping you audit content completeness. - The
get_articletool lets your agent pull the raw text content directly. This is critical for feeding accurate data into other workflows or customer responses. - You can check who owns the content using
list_teamand review the RBAC profiles, making team contribution audits simple.
Real-World Use Cases
Auditing content across versions
A technical writer needs to confirm if a new feature's documentation exists in both the 'V1.0' and 'V2.0' project versions. Instead of checking two separate portals, the agent first runs list_projects to get all versions, then calls list_categories for each version to confirm the content scope.
Resolving a complex customer question
A customer support agent gets a tricky inquiry. They ask the agent to 'Find documentation on API rate limiting for Project Alpha.' The agent uses search to find the articles and then uses get_article to pull the full text, which the agent then sends to the customer.
Monitoring content health
A product manager wants to know if the 'Onboarding' section is getting enough attention. They ask the agent to 'Show me the traffic metrics for the Onboarding category.' The agent uses analytics and list_categories to give them a performance summary.
Onboarding a new team member
A developer needs to see who has access to the documentation. They ask the agent to 'List all authorized team accounts.' The agent uses list_team, giving the developer a clear, immediate view of the authorized users and their roles.
The Tradeoffs
Guessing the article ID
The user tries to manually paste a raw article ID into the prompt, but doesn't know if it's the right format or if the article was moved.
→
Don't guess. First, run list_categories on the target project version. Then, use list_articles to get the list of available articles and confirm the correct ID before calling get_article.
Searching without scope
The user asks, 'Tell me about SSO setup.' The agent runs a generic search, but the user really needed the content only from the 'Beta' project version.
→
Limit your scope. Start by running list_projects to select the correct version. Then, use search and specify the version ID in your prompt to narrow the results.
Ignoring versioning
A writer relies on old knowledge, finding great info via search, but forgetting to check if that article is deprecated in the current version.
→
Always check the version. Run list_projects first to identify the target version, then use list_categories to confirm the article's place in the live content structure.
When It Fits, When It Doesn't
Use this server if your core problem is documentation discovery and content auditing. Specifically, you need to compare content across versions (list_projects, list_categories) or pull raw text for integration (get_article). It's best for content-heavy workflows like technical writing or support. Don't use it if you just need to manage user permissions or billing data; use a dedicated IAM or billing tool instead. If you only need to run a simple search and don't care about the source or version, a simple search API might suffice, but Document360 gives you the full content context and versioning control.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Document360. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding the right documentation shouldn't require logging into five different portals.
Today, finding a single piece of documentation means logging into the portal, selecting the correct project version (V1, V2, or Beta), navigating through the category tree, and finally clicking the article. If you need to compare that content across three versions, you're doing a lot of manual clicking and copy-pasting.
With this MCP server, you tell your agent exactly what you need—say, 'What are the API limits for V2.0?'—and the agent runs `list_projects` and `search` automatically. It returns the answer, fully sourced, without you ever leaving your chat window.
Document360 MCP Server: Semantic Search
Before, if you searched for 'user authentication issues,' you had to use exact keywords, risking missing articles that used synonyms or were described differently. You'd run the search, copy the title, then manually navigate to the article to read the details.
Now, you simply ask your agent to find the information. The agent runs the `search` tool, understands the intent, and pulls the most relevant articles and their content, solving the ambiguity problem immediately.
Common Questions About Document360 MCP
How do I use the `search` tool to find an article? +
You just ask your agent to search for the topic. You don't need to worry about syntax. The agent runs search using your natural language prompt and finds all relevant articles in your knowledge base.
What is the difference between `list_articles` and `search`? +
list_articles shows you every article in a specific category. search is for finding content based on a concept or keyword, even if you don't know the category or project version.
Can I use `get_article` without an article ID? +
No, get_article requires a unique article ID. You must first use list_articles or search to find the ID before the agent can retrieve the full text content.
How do I check the knowledge base traffic using `analytics`? +
Ask the agent to 'Show me the analytics for the last 30 days.' The agent runs analytics and gives you metrics like unique visitors and pageviews.
Does the `list_team` tool show me who can access the content? +
Yes, list_team retrieves complex RBAC profiles, outlining which authors are physically mapped against which workspace boundaries.
How do I use `list_projects` to find available versions? +
The list_projects tool retrieves a list of all available project versions. You need to specify the project name to get the full list of versions associated with it.
What information does `list_categories` provide for a given project version? +
The list_categories tool returns explicit groupings available within a specific project version. This helps you understand the structural organization of the content at that stage.
Is there a way to find the raw content of an article using `get_article`? +
Yes, the get_article tool retrieves the raw text content for an article. You must provide the unique article ID to access the document's full body.
Can my agent list all categories in a specific project version? +
Yes. Use the 'list_categories' tool. Provide the project version ID, and the agent will retrieve the explicitly attached categories and their physical groupings within that version.
How do I search for a specific topic across my knowledge base via chat? +
Provide your search query to the 'search' tool. Your agent will execute immediate semantic queries to discover strictly mapped textual responses and articles active inside your KB.
Can I monitor live traffic metrics through the agent? +
Absolutely. Use the 'analytics' tool. You can specify a date range (from/to), and the agent will pull available metrics exposing explicit traffic ranges and visitor interaction stamps for your portal.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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