kratos-mcp

kratos-mcp is an MCP server that provides a local “memory” layer for AI coding tools. It auto-detects projects, stores memories in per-project SQLite databases (optionally global/shared), and exposes MCP tools for saving/searching/retrieving/forgetting memories plus basic project management and a local security_scan for detecting PII/secrets in text before saving.

Evaluated Mar 30, 2026 (21d ago)
Homepage ↗ Repo ↗ Ai Ml mcp memory-management context-management sqlite fts5 ai-development developer-tools
⚙ Agent Friendliness
49
/ 100
Can an agent use this?
🔒 Security
19
/ 100
Is it safe for agents?
⚡ Reliability
29
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
60
Error Messages
0
Auth Simplicity
90
Rate Limits
0

🔒 Security

TLS Enforcement
0
Auth Strength
10
Scope Granularity
0
Dep. Hygiene
50
Secret Handling
45

Security_scan is described as a local pre-save check for PII/secrets, and the README claims data stays local (SQLite) with per-project isolation. However, the provided content does not document how secrets are handled internally (logging/redaction), whether any access control exists for MCP tool invocation, or whether the server enforces safe path handling for storage changes.

⚡ Reliability

Uptime/SLA
0
Version Stability
45
Breaking Changes
50
Error Recovery
20
AF Security Reliability

Best When

Used locally by a developer alongside an MCP-compatible AI coding agent where preserving context across sessions is valuable and local persistence is acceptable.

Avoid When

Avoid when you need multi-user access control, hosted uptime/SLA, or strong contractual API semantics for external integrations; also avoid if you cannot ensure the local storage path and memory contents are safe to persist.

Use Cases

  • Persisting architecture decisions, coding standards, and reusable implementation notes across AI coding sessions
  • Semantic/project-scoped retrieval of prior knowledge to reduce re-explaining work
  • Maintaining separate memory stores per repo to avoid cross-project contamination
  • Pre-save scanning for potential PII/secrets before storing memory
  • Switching or migrating storage locations for local developer workflows

Not For

  • A hosted/team memory service that needs centralized governance or online reliability guarantees
  • Use cases requiring fine-grained, server-side access control (the README suggests local-only storage with no documented auth)
  • High-concurrency/multi-tenant deployments without additional operational hardening
  • Public APIs for arbitrary external callers (no REST/GraphQL endpoints described)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: None documented (local MCP server)
OAuth: No Scopes: No

README describes local MCP server configuration for Claude Desktop/Claude Code/Cursor via launching npx/command. No API keys, OAuth, or scope model is described for tool access.

Pricing

Free tier: No
Requires CC: No

No pricing information provided; npm package implies free open-source usage per MIT license, but runtime infra costs (local compute/disk) are user-controlled.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No documented auth or access boundaries; agents with MCP connectivity can potentially invoke memory operations on the host.
  • Storage is local and stateful; changes in storage path/project switching may affect which memory database is used.
  • No documented rate limits, concurrency limits, or backoff/retry strategy for tool calls.

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Scores are editorial opinions as of 2026-03-30.

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Packages Evaluated
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Need Evaluation
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