# mcp-context

> Use this tool when you need to provide AI clients with contextual information about code repositories, enabling semantic search and access to project context without manual re-upload. It solves problems of manual data uploading and limited access to code context, allowing for more efficient AI-driven development. The mcp-context tool takes in code repositories as input and outputs relevant project context for AI clients to utilize.

Canonical page: https://skillsregistry.net/skills/ericlimabr-mcp-context  
JSON: https://api.skillsregistry.net/v1/skills/ericlimabr-mcp-context

## Description

Local MCP server that provides semantic search (RAG) over code repositories, enabling AI clients like Claude and Gemini to access project context without manual re-upload.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y683pm6cam)
- **Repository:** <https://github.com/ericlimabr/mcp-context>

## 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": "ericlimabr-mcp-context"
    }
  }
}
```

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