# Conduit

> Use this tool when you need to integrate Large Language Models with GraphQL APIs, enabling seamless consumption of API capabilities without requiring manual maintenance or updates. Conduit solves the problem of bridging the gap between GraphQL APIs and Large Language Models, providing automatic discovery and translation of API capabilities. It takes GraphQL APIs as input and outputs consumable tools via the Model Context Protocol (MCP), ideal for use cases where language models need to interact with external data sources.

Canonical page: https://skillsregistry.net/skills/nfishel48-conduit  
JSON: https://api.skillsregistry.net/v1/skills/nfishel48-conduit

## Description

A bridge that exposes any GraphQL API as tools consumable by Large Language Models via the Model Context Protocol (MCP), automatically discovering and translating API capabilities with zero maintenance required.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sfm8kwh3r2)
- **Repository:** <https://github.com/nfishel48/conduit>

## 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": "nfishel48-conduit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nfishel48-conduit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nfishel48-conduit/pull`

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