AI & Machine Learning · Honcho + Claude
Honcho MCP with Claude: Persistent Memory and Context for Your AI Agents
The short answer
Claude works with Honcho through the Model Context Protocol, an open standard that lets Claude use outside software with permissions you control. Once connected, Claude can store and retrieve agent memories, search and summarise past context, update agent state and manage persona profiles, all through plain-language instructions.
What is Honcho?
Honcho is memory, context and theory-of-mind infrastructure for stateful AI agents. It gives agents a durable memory so that conversations stay coherent across sessions, rather than starting from scratch each time. It is used by development teams building chatbots, virtual assistants and other AI agents that need to remember users, preferences and earlier interactions, and by product teams who want those agents to behave consistently over time.
How Claude connects to Honcho through MCP
The Model Context Protocol, or MCP, is an open standard that acts like a universal adapter between Claude and other software. It lets Claude securely read information from a tool and take actions in it. The organisation decides exactly what Claude can access, so the connection is never open-ended.
Once Claude is connected to Honcho, it can work with agent memory in plain language. For example, it can save a memory about a user's stated preference, retrieve the relevant history before a conversation, search and summarise context from past sessions, update an agent's state, or manage a persona profile. Your team describes the task and Claude carries it out within the boundaries you set.
Permissions and approvals keep people in charge. Access is limited to the operations your team chooses, typically with least-privilege settings. Consequential changes, such as editing or deleting stored memories, can require a person to approve them first, and activity is logged so every action can be reviewed.
What you can automate
Remembering customer preferences
A customer support team can have Claude store key preferences and past issues in Honcho after each interaction. When the customer returns, Claude retrieves that memory so the agent greets them with relevant context instead of asking the same questions again. This typically shortens resolution times and makes support feel more personal.
Summarising long conversation histories
Account managers handling long-running client relationships can ask Claude to search and summarise months of agent conversations stored in Honcho. Claude produces a short brief covering open topics, commitments and sentiment, so the manager can prepare for a call in minutes rather than reading through every exchange.
Keeping persona profiles consistent
Product teams running several branded assistants can use Claude to manage persona profiles in Honcho, including tone, role and boundaries. When a profile needs refining, Claude updates it through natural-language instructions, and the change applies consistently across the agents that use it.
Maintaining agent state across sessions
Operations teams running multi-step agents, such as onboarding assistants, can use Claude to record where each user is in a process. If a session is interrupted, Claude retrieves the stored state so the agent resumes at the right step, reducing repeated work for both users and staff.
Auditing what an agent remembers
Compliance and quality teams can ask Claude to review stored memories for a given user or agent and flag anything outdated, contradictory or sensitive. Findings go to a person for decision, supporting regular housekeeping of agent data.
An end-to-end workflow: Returning customer support with memory
TriggerA customer opens a new support chat on the company website.
Claude retrieves the customer's stored memories and past case summaries from Honcho.
Claude checks the open ticket in the helpdesk system to confirm current status.
The support agent receives a short briefing that covers preferences, history and any open issues.
During the chat, Claude updates the customer's memory with new preferences and decisions made.
When the chat closes, Claude logs a summary to the helpdesk and flags items that need human follow-up.
OutcomeCustomers receive faster, more personalised support, and agents spend less time reconstructing history. Typical outcomes vary by business, but teams commonly report fewer repeated questions and smoother handovers.
How we set it up
Free automation audit
We review your agents, chatbots and support workflows to find where durable memory and context would make the biggest difference. You leave with a clear list of priority workflows and a realistic plan.
Secure connection with an API key
We connect Claude to Honcho using the API key method that Honcho supports. The key is stored securely, and access is scoped to the operations your workflows actually need.
Workflow and permission design
We design the end-to-end workflow across Honcho and your other systems, such as your CRM, helpdesk or Microsoft 365. People approve consequential actions, such as deleting or editing memories.
Testing against real cases
We test the workflow using real past conversations and agent histories. We check that memories are stored, retrieved and summarised accurately, and refine the setup until it behaves as intended.
Launch, monitoring and training
We launch with monitoring and audit logs, then train your team on how to use Claude with Honcho day to day. Support continues after launch so the workflow keeps improving.
Who benefits
- Product managers
- Build AI assistants that feel consistent and remember users across sessions, without building memory infrastructure from scratch.
- Customer support leaders
- Give agents useful context at the start of each conversation, reducing repeat questions and handover friction.
- Engineering and IT heads
- Connect Claude to Honcho through a controlled, least-privilege setup with audit logs and an API key method that fits existing security practice.
- Account and client managers
- Get fast, accurate summaries of long client histories before calls and meetings.
Security and control
- Access is limited to the operations each workflow needs, following least-privilege principles.
- People approve consequential changes such as editing or deleting stored memories.
- Every action Claude takes is logged so it can be reviewed and audited.
- Stored memories are reviewed periodically to remove outdated, incorrect or sensitive information.
- The API key is kept in secure storage and can be rotated or revoked at any time.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in the region that suits their data requirements. Indian businesses must consider the Digital Personal Data Protection Act, 2023 when storing user memories, and we design the setup accordingly. Organisations in the UAE and Saudi Arabia must meet local data protection laws, so the hosting region is chosen to meet those requirements. Hosting is selected to meet each client's regulatory needs, and we confirm this during the audit.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Honcho MCP server do?
The Honcho MCP server lets Claude connect to Honcho's agent memory and context tools. Through it, Claude can store and retrieve memories, search and summarise context, update agent state and manage persona profiles using plain-language instructions. It acts as a secure bridge, with access limited to what your organisation allows.
Is connecting Claude to Honcho secure?
Security depends on how the connection is set up. We use the API key method that Honcho supports, store the key securely, and apply least-privilege access so Claude only reaches the operations it needs. Approvals for consequential changes and audit logs add further control. We never guarantee outcomes, but we design for careful, reviewable access.
What can Claude do with Honcho once connected?
Once connected, Claude can save memories from conversations, retrieve relevant history before an interaction, search and summarise past context, update an agent's state and manage persona profiles. Typically, your team describes the task in everyday language and Claude carries it out within the permissions you have set.
How long does setup take?
Timelines depend on how many agents and systems are involved. A focused single-workflow connection is often completed in a few weeks, including testing and training. Larger multi-agent setups take longer. The free automation audit gives you a realistic estimate before any work begins.
What access or plan is needed to use Honcho with Claude?
In general, you need an active Honcho account and an API key with permissions suited to the workflows you want to automate. The exact requirements depend on your Honcho setup, so we confirm the access level needed during the free automation audit rather than assuming a particular plan.