# thoughtgraph-mcp

> Use this tool when you need to store and manage complex thought processes or decision-making flows in a structured and queryable format. It solves problems related to knowledge retention, information retrieval, and path optimization, allowing AI agents to create, read, update, and delete thinking graphs with ease. The tool accepts graph data as input and provides retrieved graphs, search results, or optimal paths as output, making it ideal for applications requiring advanced graph-based reasoning and analysis.

Canonical page: https://skillsregistry.net/skills/xlisp-thought-graph  
JSON: https://api.skillsregistry.net/v1/skills/xlisp-thought-graph

## Description

Enables AI agents to persist and retrieve structured thinking graphs using SQLite-backed memory with support for CRUD operations, graph search, and path finding.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0qcful7br)
- **Repository:** <https://github.com/xlisp/thought-graph>

## 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": "xlisp-thought-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xlisp-thought-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xlisp-thought-graph/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