# Tri-Tender Pricing MCP

> Use this tool when you need to automate and streamline the pricing process for tenders and RFQs, extracting requirements from documents and generating accurate pricing models. It solves problems related to manual data extraction, cost calculation, and report generation, providing users with a structured and efficient way to compare market rates and create styled HTML pricing reports. Ideal for procurement and pricing professionals, it takes in document inputs and outputs detailed pricing models and HTML reports for PDF export.

Canonical page: https://skillsregistry.net/skills/sendsta-tri-tender-pricing-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sendsta-tri-tender-pricing-mcp

## Description

An MCP server designed to automate tender and RFQ pricing by extracting requirements from documents and building structured pricing models. It enables users to calculate final costs, compare market rates, and generate styled HTML pricing reports for PDF export.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ir56i6ov93)
- **Repository:** <https://github.com/sendsta/tri_tender_pricing_mcp>

## 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": "sendsta-tri-tender-pricing-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sendsta-tri-tender-pricing-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sendsta-tri-tender-pricing-mcp/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
