# GraphSense MCP Server

> Use this tool when you need to query and analyze JavaScript/TypeScript codebases using natural language, solving problems like finding specific functions or understanding code relationships. It takes in natural language queries as input and outputs relevant code information, such as function details and callers. Ideal for use cases like code exploration, debugging, and maintenance, where quick insight into complex codebases is required.

Canonical page: https://skillsregistry.net/skills/faraazahmad-graphsense  
JSON: https://api.skillsregistry.net/v1/skills/faraazahmad-graphsense

## Description

Enables natural language queries about JavaScript/TypeScript codebases using graph and vector search. Allows finding functions by semantic description, callers, callees, and function details.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q3b6ozruja)
- **Repository:** <https://github.com/faraazahmad/graphsense>

## 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": "faraazahmad-graphsense"
    }
  }
}
```

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