local-rt-mcp-server

local-rt-mcp-server

An MCP server that provides AI tools with relational tech principles, patterns, and the Studio library to guide builders in creating community-centered tools using embedded design.

Category
Visit Server

README

RTP Relational Tech MCP Server

An MCP server that carries relational tech principles, patterns, and the Studio library to any AI builder tool.

"We are the river — carrying stories, tools, learning, and relationships across many local gardens, while honoring that each garden must be tended by those who live there."

Built by the Relational Tech Project. Made in the Outer Sunset, for neighborhoods everywhere.


What This Does

When you connect this server to your AI tool (Claude Code, Lovable, Dyad, Cursor, or anything that supports MCP), it gives your AI access to:

Knowledge — RTP's core frameworks embedded directly: relational soil, embedded design methodology, the 1:100 ratio, three-layer neighborhood architecture, builder spectrum, measurement framework (agency, belonging, trust), playbooks, and challenge guides.

The Studio Library — Live access to tools, stories, prompts, and community notes from the Relational Tech Studio, the growing commons where builders share what they're creating.

Guided Workflows — Pre-built prompts that walk builders through embedded design, relational soil assessment, personalized action plans, and remixing existing tools for new neighborhoods.

The result: when a builder asks their AI to help design a community tool, the AI doesn't just generate generic software. It guides them through embedded design — asking about their neighborhood, mapping assets, centering relationships, and building the smallest useful thing with (not for) their neighbors.


Quick Start

Prerequisites

  • Node.js 18 or newer
  • An AI tool that supports MCP (Claude Code, Claude Desktop, Cursor, etc.)

Install and Run

# Clone the repo
git clone https://github.com/relationaltechproject/rtp-mcp-server.git
cd rtp-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run (for testing — normally your AI tool starts it automatically)
npm start

Connect to Claude Code

Add to your .mcp.json (in your project root or ~/.claude/.mcp.json for global access):

{
  "mcpServers": {
    "rtp-relational-tech": {
      "command": "node",
      "args": ["/path/to/rtp-mcp-server/dist/index.js"]
    }
  }
}

Connect to Claude Desktop

Go to Settings → Developer → Edit Config, and add:

{
  "mcpServers": {
    "rtp-relational-tech": {
      "command": "node",
      "args": ["/path/to/rtp-mcp-server/dist/index.js"]
    }
  }
}

Connect to Cursor

Go to Settings → MCP Servers → Add Server:

  • Name: rtp-relational-tech
  • Command: node /path/to/rtp-mcp-server/dist/index.js

Connect to Other Tools

Any tool that supports MCP's stdio transport can connect. The server reads from stdin and writes to stdout using the MCP protocol.


What's Inside

Resources (Knowledge)

The server embeds RTP's core frameworks as MCP resources that AI tools can read:

Resource What It Contains
core-principles Technology accountable to people, the river metaphor, relationships first, asset-based approach, speed of trust
relational-tech-practice The four dimensions: purpose, process (embedded design), math (1:100), path (scale deep, spread horizontal)
three-layers Neighborhood infrastructure layers (relational, information, action) with the Outer Sunset as reference
builder-spectrum Five stages of a builder's journey: curious → experimenting → building → sustaining → scaling
measurement-framework Measuring what matters: agency, belonging, and trust
embedded-design-guide Complete guide to the embedded design methodology
playbooks Step-by-step playbooks: communication channels, gatherings, calendars, mutual aid, asset mapping
challenges-guide Navigating trust, burnout, scale, access, language barriers, conflict, momentum
network-and-community RTP network, adjacent movements, connection patterns for builders

Tools (Dynamic Queries)

The server connects to the live Relational Tech Studio library:

Tool What It Does
search-studio-library Search the full Studio library — tools, stories, prompts, and community notes. Filter by category (relational tech vs. building tech).
get-tool-details Look up a specific tool with its linked prompts, community notes, and usage guidance.
find-patterns-by-context Describe a builder's situation and get matched to relevant patterns, tools, and guidance from both embedded knowledge and the live library.

Prompts (Guided Workflows)

Pre-built interaction patterns that encode RTP's design methodology:

Prompt What It Does
design-neighborhood-tool Walks through the full embedded design process: understanding place, mapping assets, listening for needs, designing the smallest useful thing.
assess-relational-soil Helps a builder understand agency, belonging, and trust in their neighborhood — what exists and where to cultivate more.
create-builder-action-plan Generates a personalized action plan in three time horizons: this week, this month, this quarter.
remix-existing-tool Guides adapting an existing tool or pattern for a new neighborhood context.

Architecture

RTP Relational Tech MCP Server
├── Resources (embedded knowledge)
│   ├── Core principles & frameworks
│   ├── Embedded design methodology
│   ├── Three-layer neighborhood model
│   ├── Builder spectrum & measurement
│   ├── Playbooks & challenge guides
│   └── Network & community connections
├── Tools (live Studio API)
│   ├── search-studio-library
│   ├── get-tool-details
│   └── find-patterns-by-context
└── Prompts (guided workflows)
    ├── design-neighborhood-tool
    ├── assess-relational-soil
    ├── create-builder-action-plan
    └── remix-existing-tool

The server uses stdio transport for local connections. Knowledge is embedded directly in the server (core frameworks change slowly), while dynamic content (tools, stories, community notes) is pulled live from the Studio's Supabase API.


For Builders

You don't need to be technical to benefit from this. If you're using an AI tool that supports MCP, connecting this server means your AI partner understands relational tech principles and can draw from the growing commons of tools and stories in the Studio.

Some things you might ask your AI once this is connected:

  • "Help me design a community calendar for my neighborhood"
  • "I want to start a mutual aid pod on my block — where do I begin?"
  • "What relational tech tools exist for connecting neighbors?"
  • "I'm feeling burned out from community organizing — what should I do?"
  • "Help me remix the Outer Sunset's field guide for my neighborhood"

The AI will ground its responses in RTP's embedded design methodology — asking about your place, your relationships, and your assets before jumping to solutions.


Contributing

This server is part of the relational tech commons. Contributions are welcome:

  • Add patterns: If you've built something that works in your neighborhood, it could become an embedded resource.
  • Improve prompts: The guided workflows get better with real builder feedback.
  • Connect new data sources: Civic commons APIs, local data sources, and other knowledge bases can be integrated as tools.
  • Adapt for new tools: Help test and document setup for additional AI platforms.

Future Directions

  • Streamable HTTP transport for remote access (builders connect via URL, no local install)
  • Civic commons API integrations (Civic Tech Field Guide, Connective Tissue, Join 101, Group Hug)
  • Semantic search over the knowledge base for better pattern matching
  • Builder profiles so the server can remember context across sessions
  • Multi-language support for the embedded knowledge

License

MIT — use freely, remix generously, tend your garden.


Made by the Relational Tech Project · Studio · hello@relationaltechproject.org

Builder

Josh Nesbit – co-founder of Relational Tech Project, building with neighbors in the Outer Sunset in SF. Reach me by email: josh@relationaltechproject.org

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