Copilot Memory MCP

Name: Copilot Memory MCP
Author: LabForgeDev

by LabForgeDevversion 1.0.0i★ –iRuns on your computer

Registry nameio.github.LabForgeDev/copilot-memory-mcp

Install

Overview

Description from the maker (original English)

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: SSE
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "copilot-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labforgedev/copilot-memory-mcp:1.0.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add copilot-memory -- docker run -i --rm ghcr.io/labforgedev/copilot-memory-mcp:1.0.0

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "copilot-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labforgedev/copilot-memory-mcp:1.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "copilot-memory": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labforgedev/copilot-memory-mcp:1.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account LabForgeDev, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7245 servers in this category
Published to the registry more recently than 5% of the other 7245 servers in this category
Basic checks equal to or better than 100% of the other 7245 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Copilot Memory MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

copilot-memory-mcp

Persistent semantic memory for GitHub Copilot in VS Code.

A local MCP server that gives Copilot durable, project-scoped memory across sessions. Memories are stored in an embedded ChromaDB vector database with all-MiniLM-L6-v2 embeddings, enabling semantic retrieval (RAG). Everything runs in a single Docker container — no cloud services required.

Why this exists

Copilot starts every session with a blank slate. This MCP server gives it a persistent, searchable knowledge base so decisions, conventions, and context carry over between sessions — all running locally in Docker.

Quick start

docker compose up -d

The server starts on http://localhost:8000/sse.

The .vscode/mcp.json already points Copilot at the server — no further VS Code configuration needed.

A sample config is provided in examples/vscode/mcp.json. Copy it to your project's .vscode/mcp.json.

MCP tools

Tool	Description
`create_memory`	Store a new memory with title, content, optional project scope and tags
`search_memories`	Semantic vector search; filter by project and/or tags
`update_memory`	Update an existing memory by ID; re-embeds on change
`delete_memory`	Permanently delete a memory by ID
`list_memories`	Browse memories with pagination (lightweight, no content)

Copilot instructions & agents (examples)

Ready-to-use examples are in examples/. Copy the relevant file(s) into the root or .github/ of your own project.

File	Consumed by
`AGENTS.md`	OpenAI Codex, Claude Code, and most agent runtimes
`CLAUDE.md`	Claude Code (`claude` CLI)
`.cursorrules`	Cursor (legacy format, project-root)
`.cursor/rules/memory-tools.mdc`	Cursor (modern per-rule format)
`.github/copilot-instructions.md`	GitHub Copilot in VS Code
`.github/prompts/save-memory.prompt.md`	VS Code `/save-memory` prompt
`.github/prompts/recall-memory.prompt.md`	VS Code `/recall-memory` prompt
`.github/agents/memory.md`	VS Code `@memory` custom agent mode

Architecture

VS Code / Copilot

│ MCP HTTP/SSE (port 8000) ▼ ┌─────────────────────────────────┐ │ Docker Container │ │ │ │ FastMCP Server (port 8000) │ │ └── 5 MCP tools │ │ │ │ sentence-transformers │ │ └── all-MiniLM-L6-v2 │ │ (384-dim embeddings) │ │ │ │ ChromaDB (embedded) │ │ └── collection "memories" │ └──────────┬──────────────────────┘ │ Docker named volume ▼ /data/chroma (persisted DB)

Project layout

copilot-memory-mcp/

├── app/ │ ├── main.py # FastMCP server, tool registration │ ├── memory_store.py # ChromaDB wrapper (CRUD + search) │ ├── embeddings.py # sentence-transformers loader + encode() │ └── tools/ │ ├── create_memory.py │ ├── search_memories.py │ ├── update_memory.py │ ├── delete_memory.py │ └── list_memories.py ├── tests/ │ ├── test_memory_store.py │ └── test_tools.py ├── Dockerfile ├── docker-compose.yml └── pyproject.toml

Development

Install dependencies

pip install -e ".[dev]"

Run tests

pytest

Tests use an ephemeral in-memory ChromaDB and a mocked embedding function — no Docker, no model download required.

Run the server locally (no Docker)

pip install -e .

PYTHONPATH=. python app/main.py

Environment variables

Variable	Default	Description
`SENTENCE_TRANSFORMERS_HOME`	`/app/models`	Model cache directory
`CHROMA_PATH`	`/data/chroma`	ChromaDB persistence path
`PORT`	`8000`	HTTP server port

Copy .env.example to .env and adjust if needed.

License

MIT — see LICENSE.

Copilot Memory MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

copilot-memory-mcp

Why this exists

Quick start

MCP tools

Copilot instructions & agents (examples)

Architecture

Project layout

Development

Install dependencies

Run tests

Run the server locally (no Docker)

Environment variables

License