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Mindtrail

PYPI · MINDTRAIL

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

Available components

+3 this week 90 Trust /100

Last scanned (1 hour ago)

Scores higher than 93% of PyPI servers

Category Memory and Knowledge

Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 29 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to RohitDeshmukh-1/Mindtrail-MCP). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 26 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability68
  • AI-judged instruction clarity (good).Pass
  • 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. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management73
  • Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage96
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 88% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 4 Nov 26 +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.

  • 2 Nov 26 +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.

  • 31 Oct 26 +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.

  • 30 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 28 Oct 26 +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.

  • 26 Oct 26 +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.

  • 24 Oct 26 +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.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/mindtrail@0.1.1

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo RohitDeshmukh-1/Mindtrail-MCP
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/RohitDeshmukh-1/Mindtrail-MCP/.github/workflows/release.yml@refs/tags/v0.1.1
Rekor log index 3163909654
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:b4025726d1e0e7ea1c1971b507835bb7f5634e5867060c7bd0b3241e311abbf4

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 29 packages
Packages resolved 29
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 3 exposed · ~209 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
forget ~27

Permanently delete a memory.

NameTypeReqDescription
memory_idstringyesId returned by remember or recall.
NameTypeReqDescription
forgottenbooleanyes–
idstringyes–

No examples provided.

recall ~69

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.

NameTypeReqDescription
limitinteger––
querystringyesWhat you need to know, in plain language.
NameTypeReqDescription
memoriesarrayyes–
notestring––

No examples provided.

remember ~113

Store a memory that persists across sessions and tools.

NameTypeReqDescription
contentstringyesOne self-contained fact, preference, decision or event.
importancenumber–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.
scopestring–"project" for this repository, "personal" for the user.
NameTypeReqDescription
idstringyes–
replaced_id–––
spacestringyes–
statusstringyes–

No examples provided.

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.

pypi · mindtrail

# add to Claude Code
claude mcp add rohitdeshmukh-1-mindtrail -- uvx mindtrail
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.