# MCP Context Manager

> Use this tool when you need to efficiently navigate and retrieve specific code symbols and logic across multiple programming languages. The MCP Context Manager solves problems of tedious code search and excessive token usage by utilizing natural language search, BM25 ranking, and fuzzy matching. It takes in natural language queries as input and outputs relevant code symbols and logic, making it ideal for use cases where precise code retrieval is necessary.

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

## Description

Enables efficient code navigation and retrieval through natural language search, BM25 ranking, and fuzzy matching across multiple programming languages. It drastically reduces token usage by allowing Claude to query specific code symbols and logic instead of reading entire files.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cx5vgdl0rp)
- **Repository:** <https://github.com/transparentlyok/mcp-context-manager>

## 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": "transparentlyok-mcp-context-manager"
    }
  }
}
```

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

---
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