# Knownbase

> Knownbase — zeeshandev6-knownbase-mcp. Use this tool when you need to retain project knowledge and context across multiple sessions and workflows. Knownbase provides a durable, structured memory for AI agents to store and retrieve Markdown-based notes, such as project decisions, discoveries, and implementation details. It enables efficient organization and search of project information, making it ideal for use cases where knowledge persistence and retrieval are crucial.

Canonical page: https://skillsregistry.net/skills/zeeshandev6-knownbase-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zeeshandev6-knownbase-mcp

## Description

Knownbase gives AI agents durable, structured project memory that persists across sessions, tools, and workflows.

Through MCP, agents can store and retrieve Markdown-based knowledge such as architecture decisions, debugging discoveries, implementation details, handoffs, project facts, and ongoing work. Notes can be organized by project, tags, status, and structured metadata, then searched efficie

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bxi0ce9uru)
- **Repository:** <https://github.com/zeeshandev6/knownbase-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": "zeeshandev6-knownbase-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zeeshandev6-knownbase-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zeeshandev6-knownbase-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