EPC Tender Screening
БесплатноНе проверенAn MCP-only server for evidence-based EPC tender screening that enables AI agents to run a full screening workflow, extract requirements, match company profiles
Описание
An MCP-only server for evidence-based EPC tender screening that enables AI agents to run a full screening workflow, extract requirements, match company profiles, generate compliance matrices, and produce bid/no-bid advisory memos.
README
An MCP-only server for evidence-based EPC tender screening.
This project lets MCP-compatible AI agents:
- run a full
screen_tenderworkflow, - extract tender requirements from uploaded tender text,
- match requirements against a company profile,
- generate compliance matrices,
- produce bid/no-bid advisory memos,
- search explicit public tender source URLs,
- search local historical proposal examples for grounding.
The project is designed as a clean public MCP repository. It does not include private company documents, credentials, UI pages, or production tender archives.
Why This Exists
Tender teams spend significant time reading long procurement documents, checking eligibility, finding supporting evidence, and deciding whether to bid. This MCP server gives AI agents a structured tool layer for that workflow while keeping the final decision human-reviewed.
Tools
| Tool | Purpose |
|---|---|
screen_tender |
Run the full screening workflow end to end |
connect_company_profile_text |
Save uploaded/extracted company profile text as local context |
connect_current_tender_text |
Save uploaded/extracted tender text as current tender |
connect_tender_source_urls |
Allowlist public tender source URLs for discovery |
search_public_tenders |
Search explicit source URLs without crawling the whole internet |
get_data_status |
Show connected data sources and fallback state |
extract_tender_requirements |
Extract tender requirements |
match_company_profile |
Match requirements against company capabilities |
generate_compliance_matrix |
Generate requirement-level compliance rows |
generate_bid_no_bid_memo |
Generate advisory fit/risk scores and recommendation |
search_historical_proposals |
Search local historical proposal examples |
Quick Start
npm install
npm run dev
Open:
http://localhost:3000
The root URL returns JSON metadata only. There is no UI.
The Streamable HTTP MCP endpoint is:
http://localhost:3000/api/mcp
The root URL returns JSON metadata only:
curl http://localhost:3000
For local connector testing without auth:
MCP_REQUIRE_AUTH=false npm run dev
On Windows PowerShell:
$env:MCP_REQUIRE_AUTH="false"
npm run dev
Stdio MCP
npm run mcp:stdio
Example Claude Desktop style config:
{
"mcpServers": {
"epc-tender-screening": {
"command": "npm",
"args": ["run", "mcp:stdio"],
"cwd": "/absolute/path/to/epc-tender-screening-mcp-showcase"
}
}
}
Remote Connector Auth
The repo includes a demo OAuth shim for hosted connector experiments.
Set:
MCP_PUBLIC_BASE_URL=https://your-domain.example
MCP_API_KEY=replace-this-token
Connector values:
MCP URL: https://your-domain.example/api/mcp
Authorization URL: https://your-domain.example/oauth/authorize
Token URL: https://your-domain.example/oauth/token
Client ID: epc-tender-demo-client
Client Secret: epc-tender-demo-secret
Scope: mcp tender:read tender:screen
For production, replace the demo OAuth shim with real OAuth and per-user authorization.
Demo token auth is disabled by default in production. For temporary hosted demos only, set:
MCP_ALLOW_DEMO_AUTH=true
MCP_DEMO_ACCESS_TOKEN=replace-this-demo-token
Do not use the default demo token for a public deployment.
ChatGPT Upload Workflow
Upload company profile and tender files to ChatGPT, then ask:
Extract text from the uploaded company profile and tender files.
Call screen_tender with tender_text and company_profile_text.
Summarize the recommendation, red flags, missing documents, and next human actions.
For one-shot analysis without saving:
Extract text from both uploaded files, then call generate_bid_no_bid_memo with tender_text and company_profile_text.
Public Tender Discovery
This project does not crawl the open internet. It searches explicit sources only.
connect_tender_source_urls
search_public_tenders
Use search_public_tenders for discovery leads only. Upload or connect the actual tender document before screening.
Data Files
Safe example files:
data/company-profile.example.json
data/sample-tender.md
data/historical-proposals.example.json
Private local files are ignored by git:
data/company-profile.local.json
data/current-tender.local.md
data/tender-sources.local.json
Example fallback is disabled by default. To demo with bundled example files:
MCP_ALLOW_EXAMPLE_FALLBACK=true npm run dev
On Windows PowerShell:
$env:MCP_ALLOW_EXAMPLE_FALLBACK="true"
npm run dev
Safety
The bid/no-bid memo is advisory only. Every output should be reviewed by tender, finance, legal, HSE, and management owners before submission.
Do not use this project to automatically submit tenders or make binding commercial decisions.
Development
npm run lint
npm run build
npm run eval
The eval suite runs through the real MCP stdio transport and checks tool exposure, safe failure behavior, screening outputs, and evidence traces.
Docs
CI
GitHub Actions runs:
npm ci
npm run lint
npm run build
npm run eval
License
MIT
Установка EPC Tender Screening
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Shiverion/epc-tender-screening-mcp-showcaseFAQ
EPC Tender Screening MCP бесплатный?
Да, EPC Tender Screening MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для EPC Tender Screening?
Нет, EPC Tender Screening работает без API-ключей и переменных окружения.
EPC Tender Screening — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить EPC Tender Screening в Claude Desktop, Claude Code или Cursor?
Открой EPC Tender Screening на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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