# MCP Vector Proxy

> Use this tool when you need to streamline communication between AI agents and MCP Routers, reducing token usage and improving efficiency. The MCP Vector Proxy solves the problem of complex tool navigation by exposing only three core tools and using local vector embeddings to search for and execute hundreds of underlying tools. It takes natural language queries as input and outputs relevant tool executions, making it ideal for use cases where simplicity and speed are crucial.

Canonical page: https://skillsregistry.net/skills/alexiokay-simple-mcp-proxy  
JSON: https://api.skillsregistry.net/v1/skills/alexiokay-simple-mcp-proxy

## Description

A semantic proxy that reduces AI agent token usage by exposing only three core tools and using local vector embeddings to search for and execute hundreds of underlying MCP tools. It streamlines communication between agents and MCP Routers by identifying relevant tools through natural language queries.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ng34td9ly2)
- **Repository:** <https://github.com/alexiokay/Simple-MCP-Proxy>

## 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": "alexiokay-simple-mcp-proxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexiokay-simple-mcp-proxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexiokay-simple-mcp-proxy/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