# Smriti MCP

> Use this tool when you need to store and manage durable memories for AI agents in a portable and flexible manner. Smriti MCP solves the problem of knowledge retention and recall for AI models by providing a simple and standardized way to store memories as markdown files with YAML frontmatter. It is ideal for use cases where AI agents require access to contextual information and knowledge across different environments and applications.

Canonical page: https://skillsregistry.net/skills/deepak-bhardwaj-ps-smriti-mcp  
JSON: https://api.skillsregistry.net/v1/skills/deepak-bhardwaj-ps-smriti-mcp

## Description

A portable memory server for AI agents, built for the Model Context Protocol (MCP). It stores durable memories as plain markdown files with YAML frontmatter.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xczqx4lstk)
- **Repository:** <https://github.com/deepak-bhardwaj-ps/smriti-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": "deepak-bhardwaj-ps-smriti-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepak-bhardwaj-ps-smriti-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepak-bhardwaj-ps-smriti-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