About Casemgr Mcp
CaseMgr is a shared workspace where people and AI agents manage notes, tasks, files, and other case data. It combines persistent memory and semantic search with CMMN workflows, multi-agent task handling, and billing tools.
Key features
- 01Persistent memory and semantic search
- 02Shared graph of notes, tasks, and files
- 03Multi-agent task queue
- 04CMMN event-driven workflows
- 05Templates and file versioning
- 06Time tracking, billing, and invoicing
Use cases
- 01Resuming work across agent sessions
- 02Finding information across workspace content
- 03Assigning and completing work across agents
- 04Tracking case time and preparing invoices
MCP support
The service exposes 184 MCP tools through a remote HTTP endpoint. This package bridges HTTP to stdio for clients that support stdio transport; Claude Code can connect to the endpoint directly.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y casemgr-mcpCASEMGR_API_TOKENSecretAPI token from casemgr.systems/tokensLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEcasemgr-mcp
A shared workspace your AI agent actually writes to — 184 MCP tools.
It creates notes when it finds things, plans tasks when work appears, and marks them done. You review and edit. Persistent memory + semantic search across a graph of notes, tasks, and files.
This package is the stdio-to-HTTP bridge for the CaseMgr MCP server — use it with any MCP client that supports stdio transport (Claude Desktop, Cursor, etc.). For Claude Code, see below — it supports HTTP natively and does not need this bridge.
Quick Start
npm install -g casemgr-mcp
Get an API token at casemgr.systems/tokens.
MCP Client Config
Claude Desktop / Cursor
Add to your MCP settings:
{
"mcpServers": {
"casemgr": {
"command": "casemgr-mcp",
"env": {
"CASEMGR_API_TOKEN": "your_token_here"
}
}
}
}
Claude Code (CLI)
Claude Code authenticates via OAuth automatically — no token needed. Just add the server URL:
{
"mcpServers": {
"casemgr": {
"url": "https://casemgr.systems/mcp"
}
}
}
If you prefer token auth, add "headers": { "Authorization": "Bearer your_token_here" }.
Smithery
Install directly via Smithery — one-click setup for Claude Code, Cursor, Codex, and more.
What is CaseMgr?
A shared, persistent workspace for you and your AI agent — 184 MCP tools across a graph of notes, tasks, files, calendar, and agent presence.
Your agent creates notes when it finds things. Plans tasks when there's work to do. Marks them done as it finishes. You review, edit, and add your own. Nothing is ephemeral — every session resumes exactly where the last one left off, and semantic search spans everything either of you ever wrote.
What's in the workspace:
- Persistent memory — every session resumes where the last one left off; nothing is ephemeral
- Bidirectional graph — agent and user both read and write notes, tasks, bookmarks, files, todos
- Semantic search — natural-language search across everything either of you ever wrote
- Multi-agent task queue — dispatch, claim, and complete work items across multiple agents
- Event-driven workflows — CMMN stages with sentry-gated execution and auto-lifecycle management
- Reusable templates — case plan models with publish, version, and instantiate
- File management — upload, download, versioning, content-aware embeddings
- Workspaces & worktrees — organize cases, link git worktrees across machines
- Time tracking & billing — durations, expenses, invoices with LaTeX/PDF generation
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
CASEMGR_API_TOKEN | Yes (stdio) | — | API token from casemgr.systems/tokens. Required for stdio clients (Claude Desktop, Cursor). Not needed for Claude Code, which uses OAuth. |
CASEMGR_URL | No | https://casemgr.systems/mcp | MCP endpoint URL (for self-hosted instances) |
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.