# LLM MCP Bridge

> Use this tool when you need to interact with OpenAI-compatible LLM APIs, whether local or cloud-based, to test, benchmark, and evaluate model quality, with features for chat operations and performance metrics tracking. It provides a universal bridge for seamless integration with various LLM models, solving issues of compatibility and accessibility. Ideal for developers, researchers, and testers seeking to optimize and refine LLM performance in diverse applications.

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

## Description

Provides a universal bridge to interact with any OpenAI-compatible LLM API (local or cloud), enabling model testing, benchmarking, quality evaluation, and chat operations with performance metrics.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9cxpwoblb)
- **Repository:** <https://github.com/ramgeart/llm-mcp-bridge>

## 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": "ramgeart-llm-mcp-bridge"
    }
  }
}
```

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