# LLM Bridge

> Use this tool when you need to integrate multiple large language models into your application, and want a unified interface to simplify interactions with various providers. The LLM Bridge provides a standardized API to access models from OpenAI, Anthropic, Google, and DeepSeek, allowing for customizable parameters like temperature and max tokens. It is ideal for developers who require flexibility and ease of deployment, with support for containerization via Docker and automated publishing through GitHub Actions.

Canonical page: https://skillsregistry.net/skills/sjquant-llm-bridge  
JSON: https://api.skillsregistry.net/v1/skills/sjquant-llm-bridge

## Description

LLM Bridge MCP is a server that provides a unified interface to multiple large language model providers (OpenAI, Anthropic, Google, DeepSeek) using Pydantic AI. Developed by Seonu Jang, it exposes a single tool called 'run_llm' that allows AI agents to interact with different LLM providers through a standardized API, with support for customizable parameters like temperature, max tokens, and system prompts. The implementation is containerized with Docker for easy deployment and includes automatic PyPI publishing through GitHub Actions, making it ideal for developers who need to switch between different LLM providers or use multiple models within the same application.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-25

## Source

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

## 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": "sjquant-llm-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sjquant-llm-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sjquant-llm-bridge/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