# contextive-mcp-server

> contextive-mcp-server — bjornmelin-contextive-mcp-server. Use this tool when you need to unify access to multiple large language models (LLMs) and streamline token-efficient workflows. It solves problems of fragmented LLM management and inefficient routing by providing a lean, multi-provider server with composable workflows and multi-model routing. Ideal for use cases involving Claude, ChatGPT, Cursor, and other LLMs, with integration via Vercel AI SDK and git compatibility.

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

## Description

A lean, multi-provider MCP server that unifies LLM access. Token-efficient tools, composable workflows, and multi-model routing via Vercel AI SDK. Works with Claude, ChatGPT, Cursor & more.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/BjornMelin/contextive-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": "bjornmelin-contextive-mcp-server"
    }
  }
}
```

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