Electronics Rfq Agent MCP server

<!-- mcp-name: io.github.RudrenduPaul/electronics-rfq-agent -->

Electronics RFQ Agent

Your sales engineers are spending 2-4 hours turning RFQ documents into quotes. This does it in seconds.

Electronics RFQ Agent is a Python library and CLI that reads RFQ documents (PDF, Excel, Word), looks up every line item against your ERP catalog, and outputs a draft quote. It connects to SAP, Epicor, Oracle, and Microsoft Dynamics through MCP servers, so it works with Claude, GPT-4, or any agent framework that speaks MCP.

Table of contents

• Install
• The problem this solves
• Quickstart
• Commands
• API reference
• How it differs from the alternatives
• ERP support
• Benchmarks
• Integration matrix
• Try it in Docker
• Security
• FAQ

Install

pip install electronics-rfq-agent-cli
# or
uv add electronics-rfq-agent-cli

To install from source instead:

git clone https://github.com/RudrenduPaul/electronics-rfq-agent
cd electronics-rfq-agent
pip install -e .
# or, with uv:
uv sync

Parsing RFQ documents (PDF, Excel, Word) calls the Anthropic API, so set ANTHROPICAPIKEY before running anything that touches a real document:

export ANTHROPIC_API_KEY="sk-ant-..."

You don't need this key to run erfa audit against an existing quote file, or to explore the CLI with --help. Only document parsing calls out to Claude.

The problem this solves

We were working with electronics distributors who had 3-5 sales engineers spending most of their day on quote entry. Every tool we found was either tied to one specific ERP or required a 6-month integration project. We wanted something that worked with what distributors already had, could be self-hosted (quote data is sensitive), and was actually extensible.

The MCP architecture means adding a new ERP is writing one file. The parser handles the document formats distributors actually send: hand-filled PDFs, multi-sheet Excel files, and the occasional scanned table.

Quickstart

No ERP system required to try it out; the mock backend ships with 200 realistic electronics parts. You do need ANTHROPICAPIKEY set, since parsing the RFQ document is still a real Claude call:

from electronics_rfq_agent import QuoteAgent
from electronics_rfq_agent.mcp.mock import MockERP

agent = QuoteAgent(erp=MockERP())
quote = agent.run_sync("path/to/rfq.xlsx")

for line in quote.lines:
    print(f"{line.rfq_line.part_number}: {line.status} @ {line.unit_price}")

print(quote.summary())

Shortened. The full README is on GitHub.