# tendertool

> tendertool — tendertoolai-tendertool-mcp. Use this tool when you need to manage references and vault documents efficiently, solving problems related to document organization and retrieval. It provides an interface for AI assistants to interact with TenderTool, accepting inputs such as document requests and generating outputs like organized reference lists. Ideal for use cases involving large-scale document management and collaboration.

Canonical page: https://skillsregistry.net/skills/tendertoolai-tendertool-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tendertoolai-tendertool-mcp

## Description

MCP server for TenderTool, enabling AI assistants to manage references and vault documents.

## 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/fwuk794ula)
- **Repository:** <https://github.com/tendertoolai/tendertool-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": "tendertoolai-tendertool-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tendertoolai-tendertool-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tendertoolai-tendertool-mcp/pull`

---
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