# How developers can save release context to DunSocial memory with MCP

> Save stable product terminology, supported behavior and public limitations from your docs into DunSocial memory for more accurate future drafts.

- Published: 2026-08-06
- Last updated: 2026-08-06
- Author: DunSocial
- Topics: mcp, how-to

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Repository context disappears when the coding conversation ends. DunSocial memory is useful for stable facts that future social drafts should retrieve: the public product name, supported clients, capability boundaries and wording you have already approved.

Do not mirror the entire repository. Save short public-safe facts that have a clear owner and can be updated.

Search phrases: save release context MCP, DunSocial memory developer, product docs to AI memory, MCP brand memory, accurate AI release posts.

## What you will do

- Identify stable facts in public documentation.
- Save one maintainable fact per memory entry.
- Find and replace context made stale by a release.

## Before you start

- An active DunSocial workspace with the intended social accounts already connected.
- An MCP client that supports Streamable HTTP and OAuth, such as Claude, ChatGPT, Cursor or Copilot Studio.
- A person who can review the final account, copy and time before publishing.

## Step by step

### 1. Choose authoritative files

Prefer public docs, README sections and release notes. Exclude environment files, internal architecture notes and customer-specific examples.

### 2. Propose memory entries

Ask the agent to include a source path or public URL in its review output, but keep the saved memory itself readable without repository jargon.

> From these public docs, propose standalone product-memory entries. Include the source for review. Do not save them yet.

### 3. Search for conflicts

Before saving, ask MCP to search existing memory for the same feature and terminology. Update an old entry rather than creating a contradictory pair.

### 4. Save and test retrieval

Approve the entries, save them to a product-context collection, then search using the kind of question a future launch draft will ask.

## Check before you finish

- The assistant names the correct DunSocial workspace and destination accounts.
- Every factual claim comes from the source material or saved workspace memory.
- The final action, timezone and returned post or draft IDs are visible.

## Where to go next

Add memory review to release cleanup when a feature name, availability statement or limitation changes.

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## Company

- Product: DunSocial, https://www.dunsocial.com
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- Support: support@dunsocial.com
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