Electric P8 2026

Part of eplan-cloudflare-rags. The local action server lives in eplan-mcp.

Remote MCP server that lets Claude search the EPLAN Electric P8 documentation (API Reference, User Guide, hidden actions) through semantic vector search.

Deployed on Cloudflare Workers with Vectorize + Workers AI.

Counterpart of cloudflare-rag-eecpro/, which serves the EEC Pro docs.

Architecture

Claude Code  -->  MCP (Streamable HTTP)  -->  Cloudflare Worker (eplan-mcp)
                                                   |
                                              Workers AI (bge-base-en-v1.5)
                                                   |
                                              Vectorize (eplan-knowledge-base)
                                              57,492 vectors / 768 dims / cosine

Install the MCP in Claude Code

Via mcp-remote

claude mcp add eplan-rag -- cmd /c npx mcp-remote https://rag2026.covaga.xyz/mcp

Verify

claude mcp list

eplan-rag should appear in the list. Then, inside Claude Code:

/mcp

It should show eplan-rag connected with 2 tools available.

Available Tools

Tool	Description
`eplan_search`	Semantic search in EPLAN documentation. Supports filtering by category (API Reference, User Guide, Api).
`eplan_stats`	Statistics for the vector index (number of vectors, dimensions, metric).

REST Endpoints

In addition to the MCP, the worker exposes a direct REST API. Base URL: https://rag2026.covaga.xyz.

Method	Endpoint	Description
GET	`/health`	Health check
POST	`/search`	Semantic search (body: `{"query": "...", "topK": 5}`)
GET	`/stats`	Index statistics
POST	`/add-vectors`	Insert vectors (requires `Authorization: Bearer <WORKER_API_KEY>`)

Usage Examples

1. Search using cURL (Windows CMD)

curl -X POST https://rag2026.covaga.xyz/search -H "Content-Type: application/json" -d "{\"query\": \"export project\", \"topK\": 3}"

2. Search using Python

import requests

url = "https://rag2026.covaga.xyz/search"
payload = {"query": "export project", "topK": 3}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

Structure

cloudflare-rag-eplan-p8/
├── migration/
│   ├── scripts/
│   │   ├── 01_verify_and_export.py    # Verify ChromaDB and export to NDJSON batches
│   │   └── 02_deploy_to_cloudflare.sh # Create index + upload vectors + deploy worker
│   └── manifest.json                  # (generated by step 01)
├── worker/
│   ├── src/
│   │   └── index.ts                   # Main worker (MCP + REST)
│   ├── wrangler.jsonc                 # Cloudflare configuration
│   ├── package.json
│   └── tsconfig.json
└── README.md                          # This file

Source Data

The vectors served by this worker are produced from the ChromaDB created by the local EPLAN server. Set EPLAN_P8_CHROMA_DB_PATH to that database before running migration/scripts/01_verify_and_export.py; its default expects a sibling eplan-mcp/eplan-p8-mcp-server/chroma_db_sota/ checkout. The export is then uploaded to Cloudflare Vectorize by migration/scripts/02_deploy_to_cloudflare.sh.

This page is synced from Canary-ECAD/eplan-cloudflare-rags.