MCP Tool Integration · Public

mind-mem

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot10 stars

1 forks · 5 contributors

Doramagic.ai Last verification date: 2026-07-04 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-04

What is mind-mem?

mind-mem helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/star-ga/mind-mem, https://github.com/star-ga/mind-mem#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Repositorystar-ga/mind-mem

10 stars · 1 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview, Substrate & Governed-Write Architecture

Related topics: Federation, v4 Cognitive Kernel & Security Posture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines, MCP Server Surface, Client Integrations & Operational Too...

Source: https://github.com/star-ga/mind-mem / Human Manual

Federation, v4 Cognitive Kernel & Security Posture

Related topics: Overview, Substrate & Governed-Write Architecture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines, MCP Server Surface, Client Integrations & Operational Tool...

Source: https://github.com/star-ga/mind-mem / Human Manual

Storage Backends, SQLite/Postgres Indexing & Recall Pipelines

Related topics: Overview, Substrate & Governed-Write Architecture, Federation, v4 Cognitive Kernel & Security Posture, MCP Server Surface, Client Integrations & Operational Tooling

Source: https://github.com/star-ga/mind-mem / Human Manual

MCP Server Surface, Client Integrations & Operational Tooling

Related topics: Overview, Substrate & Governed-Write Architecture, Federation, v4 Cognitive Kernel & Security Posture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines

Source: https://github.com/star-ga/mind-mem / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/star-ga/mind-mem, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars10 stars

Forks1 forks

Contributors5 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using mind-mem with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Perf regression: build_index on a fresh 80KB workspace takes ~55s
github / github_issue
02
FederationClient: no scheme allowlist, no redirect cap, no response-size
github / github_issue
03
`_handle_fed_resolve` accepts caller-supplied merged_payload without val
github / github_issue
04
THREE_WAY_MERGE doesn't bump vclock — resolved conflicts recur on every
github / github_issue
05
ACL `_get_request_scope` fail-open on token-introspection exception (acl
github / github_issue
06
PG-backed: `mm recall` returns [] despite direct PG FTS finding matches
github / github_issue
07
PG-backed: `mm doctor --rebuild-cache` errors=263 (no such table: blocks
github / github_issue
08
test_rollback_removes_new_files fails on macOS + Windows runners (passes
github / github_issue
09
[MEDIUM] N-03: Rate limiter collapses all stdio clients into 'default' b
github / github_issue
10
[MEDIUM] T-003: propose_update input bounds bypass (rationale/tags writt
github / github_issue
11
[MEDIUM] N-04: staged_change rollback dispatcher silently drops 'reason'
github / github_issue
12
[MEDIUM] N-02: REST rollback_proposal silently drops 'reason' field
github / github_issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install mind-mem

Official start command · https://github.com/star-ga/mind-mem#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

mind-mem Manual

Persistent AI memory for Claude Code, OpenClaw, and any MCP-compatible agent. BM25F + vector hybrid, governance-aware, local-first, zero-infrastructure.

Open the full manual

https://github.com/star-ga/mind-mem Project Manual
Table of Contents
Overview, Substrate & Governed-Write Architecture
Related Pages
1. System Purpose and Scope
2. Substrate: Markdown, SQLite FTS, and Postgres
3. Governed-Write Architecture
3.1 ACL Whitelist

Overview, Substrate & Governed-Write Architecture

Related topics: Federation, v4 Cognitive Kernel & Security Posture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines, MCP Server Surface, Client Integrations & Operational Too...

Source: https://github.com/star-ga/mind-mem / Human Manual

Federation, v4 Cognitive Kernel & Security Posture

Related topics: Overview, Substrate & Governed-Write Architecture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines, MCP Server Surface, Client Integrations & Operational Tool...

Source: https://github.com/star-ga/mind-mem / Human Manual

Storage Backends, SQLite/Postgres Indexing & Recall Pipelines

Related topics: Overview, Substrate & Governed-Write Architecture, Federation, v4 Cognitive Kernel & Security Posture, MCP Server Surface, Client Integrations & Operational Tooling

Source: https://github.com/star-ga/mind-mem / Human Manual

MCP Server Surface, Client Integrations & Operational Tooling

Related topics: Overview, Substrate & Governed-Write Architecture, Federation, v4 Cognitive Kernel & Security Posture, Storage Backends, SQLite/Postgres Indexing & Recall Pipelines

Source: https://github.com/star-ga/mind-mem / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.