The Model Context Protocol (MCP) Integration Guide: Connecting Pipes to Claude and Cursor
Pipes Architecture Team
1. Architectural Foundations of MCP: Pipes as the Definitive Epistemic Provider
Anthropic's **Model Context Protocol (MCP)** has emerged as the open industry standard for connecting Large Language Models to external tools, databases, and contextual environments. While MCP solves the transport protocol problem (standardizing JSON-RPC communication over `stdio` and `sse`), it does not solve the **epistemic integrity problem**. If an MCP server connects an agent to a noisy, unverified database or an uncontrolled web search scraper, the agent remains vulnerable to hallucinations, out-of-date documentation, and prompt injection attacks.
The Pipes Protocol is the ideal upstream resource provider for MCP. By pairing MCP's open client interface with Pipes' cryptographically verified Merkle-DAGs, developers can equip tools like **Claude Desktop** and **Cursor IDE** with a deterministic, tamper-evident epistemic memory.
```
┌────────────────────────────────────────────────────────┐
│ AI CLIENT (Claude Desktop / Cursor) │
│ Consumes MCP Tools & Context │
└───────────────────────────┬────────────────────────────┘
│
JSON-RPC over stdio / SSE transport
│
▼
┌────────────────────────────────────────────────────────┐
│ PIPES MCP BRIDGE SERVER │
│ - pipe_query: Retrieve grounded nodes │
│ - pipe_traverse: Inspect Merkle graph edges │
│ - pipe_attest: Validate root CID inclusion │
└───────────────────────────┬────────────────────────────┘
│
Cryptographic On-Disk Verification
│
▼
┌────────────────────────────────────────────────────────┐
│ LOCAL PIPES CANON (data/nodes/*) │
│ Content-Addressed Nodes · Immutable Merkle Hashes │
└────────────────────────────────────────────────────────┘
```
2. Standard Pipes MCP Tool Definitions
A conforming Pipes MCP server exposes four core tools to client agents:
1. `pipe_query`
Retrieves the most semantically relevant and epistemically weighted nodes from a designated namespace.
```json
{
"name": "pipe_query",
"description": "Query an immutable Pipes namespace for verified canonical nodes.",
"parameters": {
"type": "object",
"properties": {
"namespace": { "type": "string", "description": "Target pipe namespace, e.g. 'bitcoin' or 'pipes'" },
"query": { "type": "string", "description": "The natural language query or concept" },
"limit": { "type": "number", "description": "Maximum nodes to return (default: 5)" }
},
"required": ["namespace", "query"]
}
}
```
2. `pipe_traverse`
Allows an agent to explore the graph topology by following directed edges (`supports`, `contradicts`, `extends`, `synthesizes`) from a known node hash.
```json
{
"name": "pipe_traverse",
"description": "Follow directed edges from a root node to discover dialectical and supporting nodes.",
"parameters": {
"type": "object",
"properties": {
"contentHash": { "type": "string", "description": "SHA-256 hash of the starting node" },
"edgeType": { "type": "string", "enum": ["supports", "contradicts", "extends", "synthesizes", "all"] }
},
"required": ["contentHash"]
}
}
```
3. `pipe_attest`
Verifies that a given node hash is an active member of the namespace's sealed Merkle Root CID, returning a boolean cryptographic proof.
4. `pipe_resolve_cid`
Resolves a root CID to its complete manifest, displaying curator attribution, version timestamps, and signature status.
3. Production Configuration: Claude Desktop Integration
To connect Claude Desktop to your local Pipes repository, edit your Claude configuration file:
macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
Add the `pipes` server configuration:
```json
{
"mcpServers": {
"pipes": {
"command": "npx",
"args": [
"-y",
"tsx",
"/Users/kyle/.gemini/antigravity/scratch/pipes-v1/src/app/api/mcp/server.ts"
],
"env": {
"PIPES_DATA_DIR": "/Users/kyle/.gemini/antigravity/scratch/pipes-v1/data/nodes",
"NODE_ENV": "production"
}
}
}
}
```
Once saved, restart Claude Desktop. The hammer icon will illuminate, displaying `pipe_query`, `pipe_traverse`, and `pipe_attest`. When you ask Claude questions about the Pipes Protocol, Bitcoin internals, or Colon Hyphen Bracket architecture, it will query your local on-disk nodes rather than guessing.
4. Production Configuration: Cursor IDE Integration
In Cursor, you can configure Pipes as an MCP provider inside your workspace settings (`.cursor/mcp.json` or via Settings > Features > MCP):
```json
{
"mcpServers": {
"pipes-local": {
"type": "stdio",
"command": "npx",
"args": [
"tsx",
"scripts/mcp-pipes-bridge.ts"
],
"env": {
"PIPES_ROOT": "./data/nodes"
}
}
}
}
```
With this harness active, you can instruct Cursor Composer:
> *"Implement the new Algorithmic Appraisal Engine endpoint. First call `pipe_query('pipes', 'Algorithmic Appraisal Engine pricing vectors')` to load the exact mathematical formulas and invariants before writing any code."*
Cursor will retrieve the sovereign node, absorb the logistic sigmoid curves, and produce code that conforms strictly to protocol specifications without hallucination.
5. Complete Reference Server Implementation (TypeScript)
The following self-contained TypeScript file provides a production-grade MCP server using the official `@modelcontextprotocol/sdk`:
```typescript
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from '@modelcontextprotocol/sdk/types.js';
import fs from 'node:fs';
import path from 'node:path';
const NODES_DIR = process.env.PIPES_DATA_DIR || path.join(process.cwd(), 'data', 'nodes');
const server = new Server(
{ name: 'pipes-mcp-server', version: '1.0.0' },
{ capabilities: { tools: {} } }
);
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: 'pipe_query',
description: 'Retrieve verified nodes from a sovereign Pipes namespace.',
inputSchema: {
type: 'object',
properties: {
namespace: { type: 'string', description: 'Namespace name (e.g. pipes, chb, bitcoin)' },
query: { type: 'string', description: 'Search term or question' },
},
required: ['namespace', 'query'],
},
},
],
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
if (request.params.name === 'pipe_query') {
const { namespace, query } = request.params.arguments as { namespace: string; query: string };
const nsDir = path.join(NODES_DIR, namespace);
if (!fs.existsSync(nsDir)) {
return { content: [{ type: 'text', text: `Namespace '${namespace}' not found on disk.` }] };
}
const files = fs.readdirSync(nsDir).filter((f) => f.endsWith('.json'));
const results = [];
for (const f of files) {
const node = JSON.parse(fs.readFileSync(path.join(nsDir, f), 'utf8'));
if (node.content && node.content.toLowerCase().includes(query.toLowerCase())) {
results.push({
contentHash: node.contentHash,
title: node.title || node.sourceTitle,
author: node.author,
excerpt: node.content.slice(0, 500) + '...',
});
}
}
return {
content: [{ type: 'text', text: JSON.stringify(results, null, 2) }],