# Unified Dynamic MCP Server

> Use this tool when you need to streamline code understanding and automation tasks by consolidating multiple functions into a single server. It solves problems related to code complexity, documentation, and browser automation, accepting inputs such as code snippets and outputting optimized results with up to 98% token reduction. Ideal for use cases requiring efficient code management and automation, it provides a unified interface for progressive discovery and knowledge graph integration.

Canonical page: https://skillsregistry.net/skills/sasajib-unified-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sasajib-unified-mcp

## Description

Consolidates code understanding, documentation, browser automation, memory, and knowledge graph into a single MCP server with progressive discovery for up to 98% token reduction.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sv1fs4h9pj)
- **Repository:** <https://github.com/sasajib/unified-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": "sasajib-unified-mcp"
    }
  }
}
```

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