# GraphMCP

> GraphMCP — narglescs-anansi. Use this tool when you need to efficiently query complex data with nested relationships, enabling AI agents to retrieve specific information with precision. GraphMCP solves data querying problems by providing a GraphQL interface for composing custom queries with field selection. It is ideal for use cases requiring flexible and structured data retrieval, accepting GraphQL queries as input and returning relevant data as output.

Canonical page: https://skillsregistry.net/skills/narglescs-anansi  
JSON: https://api.skillsregistry.net/v1/skills/narglescs-anansi

## Description

An MCP server that speaks GraphQL, enabling AI agents to read the schema and compose precise queries with nested relations and field selection.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/br1k9nhxfb)
- **Repository:** <https://github.com/NarglesCS/Anansi>

## 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": "narglescs-anansi"
    }
  }
}
```

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