Model Context Protocol (MCP) enables Claude, ChatGPT, Cursor, and other AI assistants to access your Contextium documentation directly. No more copy-pasting. No more context switching.
npx @contextium/mcp-server@latest setupMCP is an open standard that lets AI assistants securely access external data sources. Think of it as OAuth for AI - secure, standardized, and simple.
⏱️ 5 minutes wasted per question
⚡ Instant answers from your docs
Three simple steps to connect your documentation to any AI assistant
Run our one-line setup command. It automatically configures your AI assistant to connect to Contextium via secure OAuth.
Browser opens automatically for secure authorization. Grant your AI assistant read-only access to your workspace documentation.
Your AI assistant can now search and reference your documentation automatically. Ask questions and get answers based on YOUR docs.
Choose your AI assistant and follow the setup instructions
npx @contextium/mcp-server@latest setupThis command automatically configures Claude Desktop and opens your browser for authorization.
Your browser will open automatically. Log in to Contextium and authorize Claude to access your workspace documentation. This is a one-time setup with secure OAuth.
Close and reopen Claude Desktop. You'll see a 🔧 icon indicating MCP tools are available. Try asking: "Search my Contextium documentation for authentication guides"
Pro Tip
Claude can now automatically search your docs when you ask questions. No need to explicitly tell it to search Contextium!
Real-world use cases for developers and teams
Ask Claude "How does our authentication work?" and get answers pulled directly from your internal docs.
"Generate a React component based on our design system docs" - AI reads your guidelines and generates compliant code.
New team members can ask questions about your codebase, architecture, and processes without interrupting seniors.
"Show me how to authenticate with our API" - get step-by-step guidance with actual code examples from your docs.
During code review, ask AI to check if implementations match your documented standards and best practices.
Ask "Is this feature documented?" or "Find all references to OAuth" - AI searches your entire knowledge base instantly.
MCP uses a client-server architecture where your AI assistant (client) communicates with Contextium's MCP server through a standardized protocol. The server provides secure access to your documentation via defined tools and resources.
Contextium's MCP server exposes these tools that AI assistants can use:
list_workspacesList all accessible workspaces
list_projectsList all context libraries in workspace
list_agentsList all agents in workspace
list_skillsList all skills in workspace
list_filesList files in a context library or agent
list_tagsList all tags in workspace
search_documentationFull-text search across all workspace documents
search_by_tagsFind files by tag combinations
get_fileRetrieve complete file content by ID
get_file_versionsGet version history for a file
get_project_structureGet folder structure of a context library
create_projectCreate a new context library in workspace
create_agentCreate a new agent with custom instructions
create_skillCreate a new reusable skill
create_fileCreate a new documentation file
update_fileUpdate file content with version tracking
delete_fileDelete a file from a context library
list_workflowsList all workflows in workspace
load_workflowLoad all resources from a workflow (agents, libraries, files, tags)
Currently, Claude Desktop, Cursor IDE, and several other AI assistants support MCP. ChatGPT support is coming soon. Any AI assistant that implements the Model Context Protocol specification can connect to Contextium.
Yes. MCP connections are read-only, workspace-scoped, and use OAuth 2.0 for authentication. Your documentation never leaves Contextium's servers - AI assistants only receive search results and specific documents they request. You can revoke access anytime.
Absolutely. MCP is designed for private, internal documentation. Only authenticated users with workspace access can authorize AI assistants, and those assistants can only access documentation within that specific workspace.
MCP integration is included in all Contextium plans, including the free Starter plan. There are no additional charges for MCP connections or API calls.
Yes! Contextium's MCP server is open source. You can extend it with custom tools, or build your own MCP server that integrates with Contextium's API. Check our documentation for the MCP SDK and examples.
You can disconnect MCP access anytime from Contextium Settings → Integrations. Once disconnected, AI assistants will no longer be able to search or access your documentation. You can reconnect at any time by running the setup command again.
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