memoryknowledgemcp
Persistent memory for AI assistants, with saved information available through Claude, ChatGPT, and other MCP clients.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Butlerbrain MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Overview
Use cases
Save assistant context for later conversations
Recall previously stored information from an MCP client
Share persistent memory across supported assistants
Key features
Persistent memory for AI assistants
Save information for later use
Recall stored information
Access through MCP clients
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Butlerbrain MCP.
Extracted Tool Capabilities
Persistent memory for AI assistants
Save information for later use
Recall stored information
Access through MCP clients
How Butlerbrain MCP works
What Butlerbrain MCP MCP server does
Butlerbrain MCP MCP server gives AI assistants access to persistent memory through the Model Context Protocol. Its documented purpose is straightforward: information can be saved once and recalled later. This makes the server relevant for assistants that need continuity across interactions rather than relying only on the current conversation.
The available description identifies Claude, ChatGPT, and other MCP clients as supported access points. It does not describe a particular application domain, memory model, storage backend, retrieval algorithm, or data format, so those details should not be assumed when evaluating the server.
How it works
An MCP-compatible assistant connects to Butlerbrain and uses the server's memory capabilities. The assistant can submit information for saving, then request that information again in a later interaction. The service is intended to keep that information available beyond the original exchange.
The supplied material does not specify whether memories are organized by user, workspace, conversation, project, or another scope. It also does not document how recall matches a request to stored information. Confirm those behaviors before depending on a particular memory workflow.
Tools and capabilities
The documented capabilities are:
- Save information to persistent memory.
- Recall previously saved information.
- Make saved information available to Claude, ChatGPT, and other MCP clients.
The source material does not provide formal tool names, argument schemas, return formats, authentication options, or error behavior. Developers should consult the Butlerbrain documentation or service interface for those implementation details.
Setup and configuration
No installation steps, transport details, configuration parameters, or environment variables are provided in the supplied material. As a result, a grounded setup procedure cannot be specified here. The only supported setup-level conclusion is that an MCP client must be able to connect to Butlerbrain and use its memory functionality.
Limitations and notes
Butlerbrain MCP MCP server is described at a capability level only. The available information does not establish retention rules, privacy controls, deletion operations, access control, quotas, pricing, availability, or compatibility details for individual MCP client applications. It also does not identify a license. Validate these points before using the service for sensitive, regulated, or operationally critical data.
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Frequently Asked Questions about Butlerbrain MCP
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<a href="https://allmcps.com/mcp/mcp-4"><img src="https://allmcps.com/api/badge/mcp-4?style=directory" alt="Butlerbrain MCP on AllMCPs" /></a>Technical Specs & Signals
CategoryKnowledge & Memory
37Quality signal: Fair · 37/100How this signal is calculated ▾
Server availability25/25
Verified ownership0/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
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