Meko MCP Server

MCP server and tools reference

The Meko MCP Server provides the primary tools for managing datapacks, conversations, memories, knowledge base, and related search.

To connect from IDEs and MCP-compatible clients using your datapack URL and API key, see Quick start — Connect your AI client.

Tools

The Meko MCP Server provides the following tools.

Use	For
Conversation `conversation_*`	Full saved chat history and thread replay. Example: Save or retrieve this chat
Memory `memory_*`	Durable facts, preferences, decisions, and useful outcomes you want to recall across agents. Example: Remember this about me or the project
Knowledge base `knowledgebase_*`	Reusable, persistent, indexed shared documents, and collective memories that can be searched across agents. Example: Search this in the knowledge base
Datapack `datapack_*`	Provisioning and managing Meko workspaces/environments. Example: Create or manage a workspace

Tool	Description
`conversation_create`	Create a stored conversation container for all conversations in a datapack. Use this to save a chat/thread, not just a fact or document. Typical inputs: `scope, agent_id, session_id, datapack_id, title, run_id, metadata`
`conversation_add_message`	Add a user/assistant turn to a stored conversation. Use this to preserve full exchanges rather than storing long-term facts. Typical inputs: `scope, seed, datapack_id, conversation_id, agent_id, input, output, reasoning, metadata`
`conversation_get`	Fetch a stored conversation, optionally with messages. Use this to review or replay a past conversation. Typical inputs: `scope, datapack_id, agent_id, conversation_id, include_messages, limit, offset`
`conversation_list`	List stored conversations. Use this to browse saved chat history. Typical inputs: `scope, datapack_id, agent_id, limit, offset`
`conversation_update`	Update a conversation title or metadata. Use this when organizing or relabeling stored conversations. Typical inputs: `scope, datapack_id, conversation_id, agent_id, title, metadata`
`conversation_delete`	Permanently delete a stored conversation. Use this to remove saved conversation history. Typical inputs: `scope, datapack_id, conversation_id, agent_id`

Tool	Description
`memory_add`	Store durable facts, preferences, decisions, or useful outcomes for a better context. Use this to add long-term reusable memory across threads. Typical inputs: `scope, datapack_id, agent_id, conversation_id, text, messages, run_id, metadata`
`memory_search`	Search stored memories semantically and return related graph relations. Use this to recall prior facts, preferences, or decisions. Typical inputs: `scope, datapack_id, agent_id, conversation_id, query, limit`
`memory_get_all`	List all memories for an agent or user scope. Use this to audit or inspect what's been remembered. Typical inputs: `scope, datapack_id, agent_id, conversation_id, run_id`
`memory_get_by_id`	Retrieve a single memory by ID. Use this to inspect a memory. Typical inputs: `scope, datapack_id, agent_id, conversation_id, memory_id`
`memory_update`	Replace the text of an existing memory. Use this to correct a remembered fact. Typical inputs: `scope, datapack_id, agent_id, conversation_id, memory_id, text`
`memory_delete_by_id`	Delete one memory. Use this to remove a specific stored memory. Typical inputs: `scope, datapack_id, agent_id, conversation_id, memory_id`
`memory_delete_all`	Delete all memories in a scope. Use this for a full reset or broad cleanup. Typical inputs: `scope, datapack_id, agent_id, conversation_id, run_id`

Tool	Description
`knowledgebase_search`	Perform a similarity search based on the user query. Use this when you want to search the knowledge base for your queries. Typical inputs: `scope, datapack_id, agent_id, conversation_id`

Tool	Description
`datapack_create`	Provision a new datapack with database and MCP details. Use this to set up a new isolated Meko environment. Typical inputs: `scope, conversation_id, datapack_id, name`
`datapack_describe`	Return datapack details and optional status. Use this to inspect an existing datapack. Typical inputs: `scope, conversation_id, datapack_id, name, include_status`
`datapack_list`	List available datapacks. Use this to see all workspaces/environments. Typical inputs: `scope, conversation_id, datapack_id, name`
`datapack_update`	Update a datapack's database connection string. Use this to point a datapack to a new database connection. Typically used when you have access to multiple datapacks. Typical inputs: `scope, conversation_id, datapack_id, name, include_status, connection_string`
`datapack_delete`	Permanently delete a datapack. Use this to completely delete an environment. Typical inputs: `scope, conversation_id, datapack_id, name`