Cross-platform shared memory and ticket coordination for AI agents across MCP clients.
MCPpedia last refreshed this data
io.github.swisspra/On_Board is an MCP server that cross-platform shared memory and ticket coordination for AI agents across MCP clients. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"agent-memory": {
"env": {
"AGENT_PROJECT_DIR": "/full/path/to/your/project"
},
"command": "onboard-memory-mcp"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Cross-platform shared memory and ticket coordination for AI agents across MCP clients.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked onboard-memory-mcp against OSV.dev.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience - it helps other developers decide.
Sign in to write a review.
Others in data / ai-ml
Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite
Manage Supabase projects — databases, auth, storage, and edge functions
A cross-platform desktop application for managing AI Agents and MCP Servers. 一款用于管理AI智能体与MCP服务器的跨平台桌面应用程序。
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
MCP Security Weekly
Get CVE alerts and security updates for io.github.swisspra/On_Board and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Shared project memory for agents. One MCP server, one project memory folder, many IDEs and agent clients. Skill-first setup, one shared runtime, and project-scoped configuration.
On Board is a local MCP server for coordinating AI agents across a project. It gives Claude Desktop, Claude Code, Codex, Cursor, Antigravity, and other MCP clients the same project memory, ticket queue, and handoff history.
The goal is simple: when one agent stops and another agent continues, the next agent should not need the human to explain the project again.
onboard → read memory → claim work → write progress → hand off
Everything stays local to the project unless you choose to connect other tools.
Install the onboard skill from inside the project you want to configure:
# Node.js 22.20 or later; select your agent when prompted.
npx skills add swisspra/On_Board --skill onboard
npx runs the skills CLI from npm; the skill itself comes from Git. No separate
On Board npm package is needed. The skill guides runtime installation and native
client configuration; installing the skill alone does not start an MCP server,
upgrade an existing shared runtime, or initialize memory.
Native resources require a verified 4.2+ runtime. A working 4.1.1 or source installation can stay in place; see runtime upgrades or the optional source runtime.
Then send your agent this prompt:
Using /onboard, set up On Board for this project. Keep existing memory and other MCP servers unchanged.
The /onboard skill reuses one shared onboard-memory-mcp runtime and
configures one project — the one you run it in — for one client of your
choice. It resolves an existing runtime first and installs the shared runtime
only when none is present (reuse, not a per-project install). It reads and writes
only that project's own MCP config. It does not initialize or migrate
.agent-mem/, and it does not touch other MCP servers, your instructions, or
hooks.
What happens, in order:
/onboard
skill (reopen the window, or start a new session).agent-memory
server. Some clients ask before running a newly added server; approve the
prompt, then restart.Prerequisites are real, not hidden behind a one-command promise:
npx skills.scripts/setup.py needs it; where
the machine's python3 is older, run the one-time helper with
uv run --no-project --python 3.12 scripts/setup.py ….uv or pipx
already installed, for the onboard-memory-mcp runtime the skill installs.Runtime states, so you know where you are: Runtime available (the runtime is resolved or installed) → Configured (the project's MCP config now points at it) → Awaiting trust or restart (the client has