# memory-bank-mcp

> Use this tool when you need to maintain a persistent memory of codebases and enable AI agents to query and retrieve code information using natural language. It solves problems of code discovery, reuse, and understanding by indexing code semantics using vector embeddings. The memory-bank-mcp server takes in natural language queries as input and outputs relevant code chunks, making it ideal for use cases where AI agents require intelligent code retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/gcorroto-memory-bank-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gcorroto-memory-bank-mcp

## Description

MCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hqbmkppws4)
- **Repository:** <https://github.com/gcorroto/memory-bank-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": "gcorroto-memory-bank-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gcorroto-memory-bank-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gcorroto-memory-bank-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