# Graphlit

> Use this tool when you need to integrate MCP clients with Graphlit services for natural language processing tasks or data retrieval. It provides a bridge between MCP clients and Graphlit's API capabilities, enabling seamless communication and data exchange. Ideal for use cases requiring access to the Graphlit ecosystem, such as text analysis or data retrieval from Graphlit services.

Canonical page: https://skillsregistry.net/skills/graphlit  
JSON: https://api.skillsregistry.net/v1/skills/graphlit

## Description

This MCP server implementation provides a bridge to the Graphlit platform, enabling integration between MCP clients and Graphlit services. Developed by Unstruk Data Inc., it utilizes the Graphlit client library and Model Context Protocol SDK to facilitate communication. The server is designed for use cases requiring access to Graphlit's API capabilities, such as natural language processing tasks or data retrieval from the Graphlit ecosystem.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/graphlit)
- **Repository:** <https://github.com/graphlit/graphlit-mcp-server>

## 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": "graphlit"
    }
  }
}
```

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