Lano-enterprise-mcp
Store and retrieve semantic memories using advanced vector search and intelligence-driven insight extraction.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Store and retrieve semantic memories using advanced vector search and intelligence-driven insight extraction. Organize knowledge across projects with secure access controls and comprehensive system health monitoring. Optimize your information flow by detecting duplicates and analyzing usage patterns for better decision support.
Requires a local install: run the server on your machine, then point your client at it.
How to connect
How to connect Lano-enterprise-mcp to Claude
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
How to connect Lano-enterprise-mcp to ChatGPT
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
How to connect Lano-enterprise-mcp to Cursor
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
This server runs locally: it is wired up through the client config, and the project documentation carries the steps.
Server tool list (31)
Raw names from tools/list. Only developers need these.
| list_memories | List memories with pagination and filters. Returns paginated results sorted by the specified field. |
| create_memory | Create a new memory with automatic vector embedding generation for semantic search. The content is processed to create searchable embeddings. |
| create_memory_chunked | Create memory entries from large content by automatically splitting into multiple chunks. Each chunk preserves context with overlap and is tagged for reassembly. Use this for documents, long conversations, or any content exceeding 8000 characters. |
| get_memory | Retrieve a specific memory by its unique identifier. Returns full memory details including content, metadata, and timestamps. |
| update_memory | Update an existing memory's content, title, type, tags, or metadata. Only provided fields are updated; others remain unchanged. |
| delete_memory | Permanently delete a memory by its ID. This action cannot be undone. |
| search_memories | Search memories using semantic vector search. Finds memories with similar meaning to the query, not just keyword matches. |
| search_lanonasis_docs | Search the Lanonasis documentation for guides, API references, and SDK information. |
| list_api_keys | List all API keys for the authenticated user. Shows key metadata but not the secret values. |
| create_api_key | Create a new API key for programmatic access. The secret is only shown once upon creation. |
| delete_api_key | Permanently delete an API key. This cannot be undone. Applications using this key will lose access. |
| rotate_api_key | Generate a new secret for an existing API key. The old secret becomes invalid immediately. |
| revoke_api_key | Deactivate an API key without deleting it. The key can potentially be reactivated later. |
| list_projects | List all projects accessible to the user, optionally filtered by organization. |
| create_project | Create a new project for organizing memories and API keys. Projects help separate concerns and manage access. |
| get_organization_info | Get detailed information about an organization including settings, members count, and usage limits. |
| get_health_status | Get comprehensive system health status including API, database, and service availability. |
| get_auth_status | Get current authentication status, user information, and access level. |
| get_config | Retrieve a configuration setting by key. Returns the current value and metadata. |
| set_config | Update a configuration setting. Some settings may require admin access. |
| intelligence_health_check | Check health status and availability of AI intelligence services including embedding and analysis endpoints. |
| intelligence_suggest_tags | Get AI-powered tag suggestions for a memory based on its content. Uses natural language understanding to recommend relevant tags. |
| intelligence_find_related | Find semantically related memories using vector similarity search. Discovers connections between memories based on meaning. |
| intelligence_detect_duplicates | Detect potential duplicate memories using semantic similarity analysis. Helps identify redundant content for cleanup. |
| intelligence_extract_insights | Extract actionable insights and summaries from memories using AI analysis. Great for decision support and knowledge synthesis. |
| intelligence_analyze_patterns | Analyze usage patterns and trends across memories over time. Identifies what topics you focus on and how usage evolves. |
| behavior_record | Record a successful workflow pattern for future recall and learning. Use this after completing a task successfully to help the system learn from the experience. |
| behavior_recall | Recall relevant behavior patterns for the current task context. Use this at the start of a task to learn from previous similar experiences. |
| behavior_suggest | Get AI-powered suggestions for next actions based on learned behavior patterns. Use this when unsure what step to take next. |
| memory_stats | Get comprehensive statistics about memory usage including counts by type, storage used, and activity metrics. |
| memory_bulk_delete | Delete multiple memories at once. This is a destructive operation that cannot be undone. |