# Model Context Protocol (MCP) Server

> Use this tool when you need to interact with multiple AI models from different providers through a single, unified interface. The Model Context Protocol (MCP) Server solves the problem of inconsistent APIs and fragmented model interactions, enabling seamless chat completions, tool calling, and context handling. It accepts model requests as input and returns relevant responses, making it ideal for applications requiring diverse AI model integration.

Canonical page: https://skillsregistry.net/skills/infinyte-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/infinyte-mcp-server

## Description

A unified API server that enables interaction with multiple AI model providers like Anthropic and OpenAI through a consistent interface, supporting chat completions, tool calling, and context handling.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x9ucq0kwqj)
- **Repository:** <https://github.com/infinyte/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": "infinyte-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/infinyte-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/infinyte-mcp-server/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