# memory-mcp

> memory-mcp — mateoguerreroe-mcp-memory. Use this tool when you need to efficiently manage and retrieve past development sessions, as it indexes session metadata with embeddings for semantic search and resolves relevant session files for context. The memory-mcp tool solves problems of information overload and disorganization by enabling targeted searches over long-term memory of dev sessions. It takes in session metadata and embeddings as inputs and outputs relevant session files, making it ideal for use cases where developers need to revisit and build upon previous work.

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

## Description

Local-first MCP server for long-term memory of dev sessions. It indexes session metadata with embeddings in Postgres/pgvector, enables semantic search over past sessions, and resolves only relevant session files for context.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ypuvn96y2l)
- **Repository:** <https://github.com/MateoGuerreroE/mcp-memory>

## 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": "mateoguerreroe-mcp-memory"
    }
  }
}
```

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