# Persistent-Code MCP Server

> Use this tool when you need to maintain context and search large codebases efficiently across multiple sessions. It creates and maintains a semantic knowledge graph of code, allowing for advanced search capabilities without requiring the entire codebase in the context window. This enables seamless interactions with AI agents like Claude, providing accurate and relevant results.

Canonical page: https://skillsregistry.net/skills/sparshdrolia-persistent-code-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sparshdrolia-persistent-code-mcp

## Description

Creates and maintains a semantic knowledge graph of code that allows maintaining context across sessions with Claude, providing advanced search capabilities without requiring the entire codebase in the context window.

## Trust

- **Trust score (0–1):** 0.63
- **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/jg4urtrzk8)
- **Repository:** <https://github.com/sparshdrolia/Persistent-code-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": "sparshdrolia-persistent-code-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sparshdrolia-persistent-code-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sparshdrolia-persistent-code-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