# EPC Tender Screening MCP

> Use this tool when you need to streamline EPC tender screening processes and make informed bidding decisions. It enables AI agents to extract requirements, match company profiles, and generate compliance matrices, solving problems related to manual screening and bid analysis. The tool takes in tender documents and company profiles as inputs and produces bid/no-bid advisory memos as outputs, ideal for use in pre-bid evaluation and procurement planning contexts.

Canonical page: https://skillsregistry.net/skills/shiverion-epc-tender-screening-mcp-showcase  
JSON: https://api.skillsregistry.net/v1/skills/shiverion-epc-tender-screening-mcp-showcase

## Description

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.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ye4eqjnvfz)
- **Repository:** <https://github.com/Shiverion/epc-tender-screening-mcp-showcase>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shiverion-epc-tender-screening-mcp-showcase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shiverion-epc-tender-screening-mcp-showcase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shiverion-epc-tender-screening-mcp-showcase/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt