# tender-documents-mcp

> tender-documents-mcp — asept1977-tender-documents-mcp. Use this tool when you need to extract and process public tender documents from various file formats, such as PDFs, Office files, and ZIP archives, into structured text with signals. It solves problems related to document analysis, comparison, and data extraction, providing outputs in text format with optional base64 extraction. Ideal for use cases requiring automated document processing and analysis, such as procurement data mining or tender monitoring.

Canonical page: https://skillsregistry.net/skills/asept1977-tender-documents-mcp  
JSON: https://api.skillsregistry.net/v1/skills/asept1977-tender-documents-mcp

## Description

Safely downloads and extracts public tender documents from PDFs, Office files, and ZIP archives into text with structured signals, while also supporting document comparison and base64 extraction.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aa3yklyw59)
- **Repository:** <https://github.com/asept1977/tender-documents-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": "asept1977-tender-documents-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asept1977-tender-documents-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asept1977-tender-documents-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
