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AI Context Flow

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AI Context Flow MCP – Persistent AI context and memory for tools, agents, and platforms.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ai-context-flow": {
      "command": "npx",
      "args": [
        "-y",
        "ai-context-flow"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Plurality MCP Server

Universal memory for AI agents and tools. Save, organize and search context anywhere.

MCP Registry Smithery Version Python


An Model Context Protocol server that gives any MCP-compatible AI client persistent memory β€” documents, notes, conversations, and files stored across organized memory buckets with semantic search. Supports OAuth and Personal Access Tokens (PAT) based authentication.

Why use this?

  • Memory Studio β€” a personal knowledge base and second brain where you organize context into memory buckets, review saved content, and manage what your AI agents know.
  • Save important chats β€” directly from within Claude, ChatGPT, Cursor, and other AI tools into the relevant memory bucket
  • Shared persistent memory across all your agents β€” Claude Code, Lovable, Cursor, OpenClaw and more all access the same context
  • Semantic search β€” find relevant memories using natural language, not just keywords
  • Share buckets with other people β€” collaborate by giving others access to your context
  • Works everywhere β€” any MCP-compatible client can connect

We also have a Chrome extension called AI Context Flow that lets you capture and use context on any website. It comes with a built-in chat agent (30+ models) that opens as a sidebar on any page β€” talk to your memories, answer questions from your stored context, and surface connections across everything you've saved. You can use the MCP Server alongside the extension to get full feature set of the product.

Watch the demo

▢️ Watch the demo

πŸ“– Full documentation Β· 🌐 Website Β· 🧩 Chrome Extension Β· 🧠 Memory Studio


Quick connect (production)

Production URL: https://app.plurality.network/mcp

The server supports OAuth 2.1 with PKCE (for interactive clients) and Personal Access Tokens (for headless agents and CI). Most clients handle the OAuth flow automatically.

Works with Claude Desktop, Claude Code, ChatGPT, Cursor, and any MCP-compatible client.

β†’ Step-by-step setup guides for all supported clients


Tools

ToolDescription
get_user_memory_bucketsList all memory buckets (organized folders) for the user
list_items_in_memory_bucketList stored items in a specific bucket (metadata only)
search_memorySemantic search across buckets with relevance scoring
read_contextRead the full content of a stored item with pagination
save_memorySave text content to a specific memory bucket
save_conversationSave a conversation (chat history) to a memory bucket
create_memory_bucketCreate a new memory bucket for organizing saved content

Authentication

The MCP server accepts two auth methods:

MethodWhen to useBrowser required?
OAuth 2.1 + PKCEInteractive clients: Claude Desktop, Web, Code, ChatGPTYes (one-time)
Personal Access Token (PAT)Headless agents, CI runners, custom integrations, n8n, LangChainNo

Using a Personal Access Token

  1. Sign in to the dashboard, open Connect via MCP β†’ Manage tokens
  2. Click Create token, give it a name and optional expiry, copy the plur_pat_… value
  3. Configure your client to send it as a Bearer token:
Code
Authorization: Bearer plur_pat_...

PATs require a paid plan. They auto-revoke at expiry, can be rotated with a configurable grace period (default 7 days), and can be immediately revoked from the dashboard. They are stored hashed and never appear in logs.

OAuth details

The server uses Ory Hydra as the OAuth2/OIDC provider:

PropertyValue
AlgorithmRS256
Issuerhttps://app.plurality.network (prod)
Scopeopenid offline_access mcp:tools
Access token TTL15 minutes
Refresh token TTL720 hours
Discoveryhttps://app.plurality.network/.well-known/oauth-authorization-server
Dynamic Client Registrationhttps://app.plurality.network/register
OAuth2 flow (step by step)
  1. Client discovers auth server β€” fetches /.well-known/oauth-protected-resource from Traefik
  2. Client registers β€” calls /register (Dynamic Client Registration) to get client_id/client_secret. The API Gateway proxies this to Hydra, injecting the mcp:tools scope
  3. User authenticates β€” browser opens Hydra's login flow, which redirects to the frontend's login/consent pages
  4. Token issued β€” Hydra returns a JWT access token (RS256, 15min TTL) with the user's ID as the sub claim and mcp:tools scope
  5. Authenticated requests β€” client includes Authorization: Bearer <token> on all MCP requests
  6. MCP server validates β€” JWT signature verified locally against Hydra's JWKS public keys (cached 1 hour), mcp:tools scope is checked
  7. API Gateway access β€” MCP server forwards the Bearer token when calling API Gateway endpoints for data retrieval and storage

Architecture

Code
MCP Client (Claude Code, Cursor, etc.)
    β”‚
    β”‚  OAuth2 + Streamable HTTP
    β–Ό
Traefik (:5050)           ← single entrypoint for clients
    β”œβ”€β”€ /mcp              β†’ MCP Server (:5051)
    β”œβ”€β”€ /.well-known/*    β†’ API Gateway or Hydra
    β”œβ”€β”€ /oauth2/*         β†’ Hydra (:4444)
    └── /register         β†’ API Gateway (DCR proxy)
                                β”‚
                                β”‚ Bearer token
                                β–Ό
                          API Gateway (:5000)
                                β”‚
                                β–Ό
                          Vector Service (:8000)

Traefik is the single entrypoint. It routes OAuth traffic to Hydra and MCP protocol traffic to the MCP server. The MCP server validates JWTs locally via Hydra's JWKS keys, then forwards the Bearer token to the API Gateway for data access. The API Gateway handles authentication, DCR proxying, and routes vector/search operations to the Vector Service.


Local development setup

Prerequisites

  • Python 3.11+
  • uv (Python package manager)
  • Docker and Docker Compose
  • Running API Gateway (plurality-backend-api): Handles authentication, OAuth metadata, DCR proxying, and database access
  • Running Vector Service (plurality-ai-service): Handles semantic search and vector database operations

1. Install dependencies

bash
cd plurality-mcp-server
pip install uv
uv sync

2. Configure environment

bash
cp .env.example .env

Default values work for local development β€” no changes needed if the API Gateway runs on :5000:

Code
HYDRA_ISSUER=http://localhost:5050
MCP_RESOURCE_URL=http://localhost:5050
BACKEND_API_URL=http://localhost:5000

3. Start Docker services (Hydra + Traefik)

bash
cd ory-hydra
docker compose up -d

This starts:

ServicePortPurpose
PostgreSQL5433Hydra's database
Hydra4444, 4445OAuth2/OIDC provider (public + admin)
Traefik5050Reverse proxy / routing

Wait for services to be healthy: docker compose ps

4. Start the MCP server

bash
uv run uvicorn main:mcp_server --host 0.0.0.0 --port 5051 --reload

Port 5051, not 5050. Traefik listens on 5050 and proxies /mcp to the MCP server on 5051.

5. Verify

bash
# Health check (direct)
curl http://localhost:5051/mcp/health

# OAuth metadata (via Traefik)
curl http://localhost:5050/.well-known/oauth-protected-resource

# Traefik dashboard (for debugging routes)
open http://localhost:8080

Local client configuration

Claude Code
Terminal
claude mcp add --transport http plurality-memory http://localhost:5050/mcp

Then authenticate via /mcp inside Claude Code.

Claude Code β€” VS Code Extension

Authenticate first in the terminal using the steps above. Then add .mcp.json to your project root:

config.json
{
  "mcpServers": {
    "plurality-memory": {
      "type": "http",
      "url": "http://localhost:5050/mcp"
    }
  }
}

The VS Code extension may not trigger the OAuth browser flow automatically. Complete authentication via the terminal first.

Claude Desktop

Edit your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
config.json
{
  "mcpServers": {
    "plurality-memory": {
      "command": "npx",
      "args": ["mcp-remote", "http://localhost:5050/mcp"]
    }
  }
}

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about AI Context Flow

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-context-flow": { "command": "npx", "args": ["-y", "AI Context Flow"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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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