# Fast Context MCP

> Use this tool when you need to perform efficient semantic code searches using natural language, solving problems like finding relevant code snippets and file paths. It takes in natural language queries as input and returns relevant code snippets and file paths as output, enabling AI-driven development and debugging. Ideal for use cases where rapid code discovery and navigation are crucial, such as in software development and maintenance.

Canonical page: https://skillsregistry.net/skills/sammysnake-d-fast-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sammysnake-d-fast-context-mcp

## Description

Enables AI-driven semantic code search by leveraging Windsurf's reverse-engineered protocol to perform multi-round local searches using natural language. It automatically executes bundled ripgrep and file operations to return relevant code snippets and file paths to MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/que4ojf1hd)
- **Repository:** <https://github.com/SammySnake-d/fast-context-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": "sammysnake-d-fast-context-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sammysnake-d-fast-context-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sammysnake-d-fast-context-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
