# MCP Context Graph

> Use this tool when you need to enable AI agents to understand semantic code relationships and context. The MCP Context Graph solves problems related to code comprehension and analysis by providing a self-contained, in-memory graph database. It takes in code data as input and outputs a graph representation of semantic relationships, ideal for use cases requiring deep code understanding and context-aware decision-making.

Canonical page: https://skillsregistry.net/skills/padobrik-mcp-context-graph  
JSON: https://api.skillsregistry.net/v1/skills/padobrik-mcp-context-graph

## Description

A self-contained, in-memory graph database for AI Agents. Provides semantic code understanding through the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.21
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zsyz2cxehx)
- **Repository:** <https://github.com/padobrik/mcp-context-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": "padobrik-mcp-context-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/padobrik-mcp-context-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/padobrik-mcp-context-graph/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