# Open MCP Knowledgebase

> Use this tool when you need to expose static Markdown content to AI agents through a zero-database interface, solving problems of knowledge sharing and retrieval in a scalable and efficient manner. It takes in Markdown content as input and outputs clean MCP surfaces, making it ideal for use cases where structured data needs to be easily accessible. This tool is particularly useful in contexts where a lightweight and flexible knowledgebase is required.

Canonical page: https://skillsregistry.net/skills/no-product-knowledgebase-mcp  
JSON: https://api.skillsregistry.net/v1/skills/no-product-knowledgebase-mcp

## Description

A zero-database MCP knowledgebase template for Vercel that exposes static Markdown content to AI agents through clean MCP surfaces.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r3tr357xio)
- **Repository:** <https://github.com/NO-Product/knowledgebase-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": "no-product-knowledgebase-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/no-product-knowledgebase-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/no-product-knowledgebase-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