Plurality MCP Server

Plurality MCP Server

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

Category
Visit Server

README

Plurality MCP Server

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

MCP Registry Smithery Version Python

<!-- mcp-name: network.plurality/ai-context-flow -->


An Model Context Protocol server that gives any MCP-compatible AI client persistent memory — 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 — 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 — directly from within Claude, ChatGPT, Cursor, and other AI tools into the relevant memory bucket
  • Shared persistent memory across all your agents — Claude Code, Lovable, Cursor, OpenClaw and more all access the same context
  • Semantic search — find relevant memories using natural language, not just keywords
  • Share buckets with other people — collaborate by giving others access to your context
  • Works everywhere — 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 — 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.

<div align="center"> <a href="https://www.youtube.com/watch?v=0bC4-hzUiks"> <img src="https://img.youtube.com/vi/0bC4-hzUiks/sddefault.jpg" alt="Watch the demo" width="600"> </a> <p><em>▶️ Watch the demo</em></p> </div>

📖 Full documentation · 🌐 Website · 🧩 Chrome Extension · 🧠 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.

→ Step-by-step setup guides for all supported clients


Tools

Tool Description
get_user_memory_buckets List all memory buckets (organized folders) for the user
list_items_in_memory_bucket List stored items in a specific bucket (metadata only)
search_memory Semantic search across buckets with relevance scoring
read_context Read the full content of a stored item with pagination
save_memory Save text content to a specific memory bucket
save_conversation Save a conversation (chat history) to a memory bucket
create_memory_bucket Create a new memory bucket for organizing saved content

Authentication

The MCP server accepts two auth methods:

Method When to use Browser required?
OAuth 2.1 + PKCE Interactive clients: Claude Desktop, Web, Code, ChatGPT Yes (one-time)
Personal Access Token (PAT) Headless agents, CI runners, custom integrations, n8n, LangChain No

Using a Personal Access Token

  1. Sign in to the dashboard, open Connect via MCP → 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:
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:

Property Value
Algorithm RS256
Issuer https://app.plurality.network (prod)
Scope openid offline_access mcp:tools
Access token TTL 15 minutes
Refresh token TTL 720 hours
Discovery https://app.plurality.network/.well-known/oauth-authorization-server
Dynamic Client Registration https://app.plurality.network/register

<details> <summary><strong>OAuth2 flow (step by step)</strong></summary>

  1. Client discovers auth server — fetches /.well-known/oauth-protected-resource from Traefik
  2. Client registers — 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 — browser opens Hydra's login flow, which redirects to the frontend's login/consent pages
  4. Token issued — 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 — client includes Authorization: Bearer <token> on all MCP requests
  6. MCP server validates — JWT signature verified locally against Hydra's JWKS public keys (cached 1 hour), mcp:tools scope is checked
  7. API Gateway access — MCP server forwards the Bearer token when calling API Gateway endpoints for data retrieval and storage

</details>


Architecture

MCP Client (Claude Code, Cursor, etc.)
    │
    │  OAuth2 + Streamable HTTP
    ▼
Traefik (:5050)           ← single entrypoint for clients
    ├── /mcp              → MCP Server (:5051)
    ├── /.well-known/*    → API Gateway or Hydra
    ├── /oauth2/*         → Hydra (:4444)
    └── /register         → API Gateway (DCR proxy)
                                │
                                │ Bearer token
                                ▼
                          API Gateway (:5000)
                                │
                                ▼
                          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

cd plurality-mcp-server
pip install uv
uv sync

2. Configure environment

cp .env.example .env

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

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

3. Start Docker services (Hydra + Traefik)

cd ory-hydra
docker compose up -d

This starts:

Service Port Purpose
PostgreSQL 5433 Hydra's database
Hydra 4444, 4445 OAuth2/OIDC provider (public + admin)
Traefik 5050 Reverse proxy / routing

Wait for services to be healthy: docker compose ps

4. Start the MCP server

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

# 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

<details> <summary><strong>Claude Code</strong></summary>

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

Then authenticate via /mcp inside Claude Code.

</details>

<details> <summary><strong>Claude Code — VS Code Extension</strong></summary>

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

{
  "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.

</details>

<details> <summary><strong>Claude Desktop</strong></summary>

Edit your config file:

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

Restart Claude Desktop fully, then authenticate when the browser opens.

</details>

<details> <summary><strong>MCP Inspector (debugging)</strong></summary>

npx @modelcontextprotocol/inspector

Enter http://localhost:5050/mcp as the server URL. The inspector walks through the OAuth flow and lets you call tools interactively.

</details>

Note: ChatGPT is not supported for local development — it requires publicly reachable OAuth endpoints.


Project structure

plurality-mcp-server/
├── main.py                             # Entry point
├── pyproject.toml                      # Dependencies (managed by uv)
├── .env.example                        # Environment template
├── src/plurality_mcp_server/
│   ├── app.py                          # FastMCP app + middleware stack
│   ├── config.py                       # Env vars, shared HTTP client, context vars
│   ├── auth.py                         # JWT validation via Hydra JWKS + scope check
│   └── tools.py                        # MCP tool definitions (read + write)
└── ory-hydra/
    ├── docker-compose.yml              # Hydra + Traefik + PostgreSQL
    ├── hydra.yml                       # Hydra OAuth2/OIDC config
    ├── traefik.yml                     # Traefik static config
    └── dynamic.yml                     # Traefik routing rules

Troubleshooting

<details> <summary><strong>MCP client gets 401 Unauthorized</strong></summary>

  • Check that Hydra is running: curl http://localhost:4444/.well-known/openid-configuration
  • Check that the JWT hasn't expired (15min TTL)
  • Verify HYDRA_ISSUER matches the issuer in the token's iss claim
  • Ensure the token has the mcp:tools scope

</details>

<details> <summary><strong>MCP client gets 502 Bad Gateway</strong></summary>

  • The MCP server isn't running on port 5051
  • Check Traefik logs: docker compose -f ory-hydra/docker-compose.yml logs traefik

</details>

<details> <summary><strong>Tools return "Error: Backend API returned status 401"</strong></summary>

  • The API Gateway needs to accept Hydra JWTs — ensure jwks-rsa is installed and the OAuth auth middleware is deployed

</details>

<details> <summary><strong>OAuth flow redirects to localhost:3000 but nothing is there</strong></summary>

  • Hydra is configured with login: http://localhost:3000/login — this points to the Plurality frontend. Start the frontend or update hydra.yml URLs.

</details>

<details> <summary><strong>DCR returns unexpected scope or missing mcp:tools</strong></summary>

  • The API Gateway's DCR proxy injects mcp:tools into the allowed scopes. Ensure the API Gateway is running and the /register route is reachable.

</details>


Links


Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured