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throughline

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Own a persistent AI self with memory and persona across hosts.

MCP ServerAI & KnowledgeRemote (streamable-http)
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Updated 2026-06-16

What is the throughline MCP server?

Throughline maintains a portable core of user-defined memory, persona traits, and judgment logic that travels with the user. It operates independently of individual AI platforms to preserve context and consistency over time.

The server uses streamable-http to connect the persistent self to any compatible AI host, allowing real-time access to stored elements without duplicating data across services.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "throughline": {
      "url": "https://getthroughline.ai/mcp"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

Load my throughline persona and summarize what I value most in project decisions
Recall my ongoing research topics from throughline and suggest next steps
Apply my stored judgment criteria to evaluate this business proposal
Update my throughline memory with the outcome of today's meeting

Security & permissions

Requires streamable-http connection to a remote Throughline endpoint; may need authentication tokens or API keys for access to stored memory and persona data.

What you can do with throughline

Cross-host continuity

Resume conversations with the same persona and full memory when switching between different AI models or platforms.

Consistent decision making

Apply the same stored judgment rules and preferences regardless of which host processes the query.

Long-term memory ownership

Retain personal history and traits in one place that the user fully controls and can export or update.

How to use throughline

  1. 1Obtain the Throughline server endpoint URL and any required credentials.
  2. 2Configure your AI client to connect via streamable-http transport.
  3. 3Initialize or import your persona, memory, and judgment settings.
  4. 4Test connectivity by prompting the AI to reference stored throughline data.
  5. 5Grant the connection permission to read and update your persistent self.

throughline: pros & cons

Pros

  • +True ownership and portability of AI identity across hosts
  • +Maintains consistent memory and persona without host dependency
  • +Enables long-term continuity in AI interactions
  • +User controls updates to judgment and memory rules

Cons

  • Requires ongoing remote connection for full functionality
  • Limited to hosts that support streamable-http MCP
  • No local-only operation option documented
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Frequently asked questions

It provides a single owned identity layer that works across multiple hosts instead of being locked to one platform.

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