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Devmcp Context

mcp-kushal1o1-devmcp-context · by kushal1o1

Structured AI memory layer. A single source of truth for what your agent knows across conversations. :)

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Install

$ agentstack add mcp-kushal1o1-devmcp-context

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

devmcp-context

[](https://pypi.org/project/devmcp-context/) [](https://pypi.org/project/devmcp-context/) [](LICENSE)

Structured AI memory layer. A single source of truth for what your agent knows across conversations.

devmcp-context is a Model Context Protocol (MCP) server that provides persistent, organized memory for AI agents. Your agent's memory is now visible, editable, and searchable — without retraining.

Published on PyPI: https://pypi.org/project/devmcp-context/

The Problem

AI agents are black boxes. You can't see what they remember. When they forget something important or remember something wrong, you're stuck.

devmcp-context changes this. Your agent's memory is now:

  • Visible — Plain text files in your project folder
  • Editable — Change any entry, agent sees it immediately
  • Structured — Organized into 5 categories with automatic cleanup
  • Persistent — Survives across agent sessions and restarts

Installation

pip install devmcp-context

Or with uv:

uv add devmcp-context

Quick Start

Register in your agent's MCP config (Claude, Node.js, Python, Docker), then:

devmcp-context

Your agent will auto-discover the memory server. Start asking questions, and memories are saved to ai-context/ folder.

Features

  • 5 memory categories (project, decisions, errors, tasks, ephemeral)
  • Automatic expiration (TTL) — errors expire in 30 days, tasks in 14
  • Full-text search across all entries
  • Tagging system for organization
  • Persistent file-based storage (no database)
  • MCP-compliant server

Documentation

Full docs: https://kushal1o1.github.io/devmcp-context/

  • Getting Started guide
  • Installation instructions
  • API Reference (6 tools)
  • Memory categories explained
  • Architecture diagrams (Mermaid)
  • Deployment guide
  • Development guide

Usage Example

In your agent prompt:

Use context_save to remember insights:
- save("decisions", "auth_strategy", "Use JWT with refresh tokens", tags=["security"])

Use context_load to retrieve memories:
- load("decisions")

Use context_search to find specific memories:
- search("JWT")

License

MIT — See [LICENSE](LICENSE) for details.

Contributing

Contributions welcome! See [CONTRIBUTING.md](docs/contributing.md) for guidelines.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.