# filamental-mcp

> Use this tool when you need to manage and interact with your Filamental knowledge graph, enabling search, traversal, and editing capabilities without relying on cloud services or authentication. It provides 12 tools for reading and writing nodes and edges, allowing for seamless integration with MCP-compatible AI clients. Ideal for local-first applications requiring direct access and control over knowledge graph data.

Canonical page: https://skillsregistry.net/skills/scottnine-filamental  
JSON: https://api.skillsregistry.net/v1/skills/scottnine-filamental

## Description

Search, traverse and edit your Filamental knowledge graph from any MCP-compatible AI client. Local-first, no cloud, no auth required. 12 tools for reading and writing nodes and edges.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yvke4kyyat)
- **Repository:** <https://github.com/Scottnine/filamental>

## 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": "scottnine-filamental"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scottnine-filamental` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scottnine-filamental/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