# Mindtrail (pypi · mindtrail)

Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.

- Trust score: 90/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `mindtrail`: 90/100 (this document), [markdown](https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail.md), [page](https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail)

## Channel facts

- Registry: `pypi`
- Package: `mindtrail`
- Version: `0.1.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 29 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 100/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to RohitDeshmukh-1/Mindtrail-MCP).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 26 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 502 tokens (~167/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 73/100
  - Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 96/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 88% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Mindtrail MCP server?

Mindtrail runs locally as a PyPI package, launched with uvx mindtrail. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add rohitdeshmukh-1-mindtrail -- uvx mindtrail
```

### Cursor

```json
{
  "mcpServers": {
    "rohitdeshmukh-1-mindtrail": {
      "command": "uvx",
      "args": [
        "mindtrail"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "rohitdeshmukh-1-mindtrail": {
      "command": "uvx",
      "args": [
        "mindtrail"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add rohitdeshmukh-1-mindtrail -- uvx mindtrail
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "rohitdeshmukh-1-mindtrail": {
      "type": "local",
      "command": [
        "uvx",
        "mindtrail"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add rohitdeshmukh-1-mindtrail --command uvx --arg mindtrail
```

### Hermes

```yaml
mcp_servers:
  rohitdeshmukh-1-mindtrail:
    command: "uvx"
    args: ["mindtrail"]
```

### Netclaw

```json
{
  "McpServers": {
    "rohitdeshmukh-1-mindtrail": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "mindtrail"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add rohitdeshmukh-1-mindtrail -t stdio -c uvx -a mindtrail
```

### Other

```json
{
  "mcpServers": {
    "rohitdeshmukh-1-mindtrail": {
      "command": "uvx",
      "args": [
        "mindtrail"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 90, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-11-04 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-02 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-31 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 72, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-28 (score 87, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 86, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 85, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (3)

### `remember` (~113 tokens)

Store a memory that persists across sessions and tools.

Input parameters:

- `content` (string, required): One self-contained fact, preference, decision or event.
- `importance` (number): 0 = trivia, 1 = critical.
- `kind`: semantic: lasting fact or preference; episodic: something that happened; temporal: time-bound fact; reflective: an observed pattern.
- `replaces`: Id of an outdated memory this one replaces.
- `scope` (string): "project" for this repository, "personal" for the user.

Output parameters:

- `id` (string)
- `replaced_id`
- `space` (string)
- `status` (string)

### `recall` (~69 tokens)

Find memories relevant to a query, from this project and the user's personal space.

Use before answering anything that depends on this project's or user's conventions.
Returns an empty list when nothing relevant is stored.

Input parameters:

- `limit` (integer)
- `query` (string, required): What you need to know, in plain language.

Output parameters:

- `memories` (array)
- `note` (string)

### `forget` (~27 tokens)

Permanently delete a memory.

Input parameters:

- `memory_id` (string, required): Id returned by remember or recall.

Output parameters:

- `forgotten` (boolean)
- `id` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail#diagnostics

## Score history

- 2026-11-05: 90
- 2026-11-04: 75
- 2026-11-03: 74
- 2026-11-02: 74
- 2026-11-01: 73
- 2026-10-31: 73
- 2026-10-30: 72
- 2026-10-29: 87
- 2026-10-28: 87
- 2026-10-27: 86
- 2026-10-26: 86
- 2026-10-25: 85
- 2026-10-24: 85
- 2026-10-23: 84
- 2026-10-22: 84
- 2026-10-21: 80
- 2026-10-20: 80
- 2026-10-19: 80
- 2026-10-18: 80
- 2026-10-17: 80
- 2026-10-16: 80
- 2026-10-15: 80
- 2026-10-14: 65
- 2026-10-13: 35
- 2026-10-12: 35

## Common questions

### What is the Mindtrail MCP server?

Mindtrail is an MCP server listed in the public MCP registry as io.github.RohitDeshmukh-1/mindtrail. Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions. This page covers its PyPI package (mindtrail).

### Is the Mindtrail MCP server safe to use?

Mindtrail scores 90 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Mindtrail MCP server expose?

Mindtrail exposes 3 tools: remember, recall, forget. Their descriptions and schemas cost roughly 209 tokens of context every time the server is loaded.

### Is the Mindtrail MCP server still maintained?

Mindtrail is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Mindtrail MCP server under?

Mindtrail declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/mindtrail/
- Socket report: https://socket.dev/pypi/package/mindtrail
- Repository: https://github.com/RohitDeshmukh-1/Mindtrail-MCP
- Changelog RSS feed: https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail.xml
- Changelog JSON feed: https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail.json
- HTML version of this page: https://verifymcp.io/servers/rohitdeshmukh-1-mindtrail/mindtrail