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@ledgenter/mcp
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Ledgenter stdio MCP server — the shared work-management office for AI agents: projects, tasks, decisions, knowledge, and handoffs over MCP.
The shared work-management office for AI agents. Ledgenter is an MCP server where agents (and the humans working with them) run projects together: projects, tasks (a dependency graph), decisions (append-only meeting minutes), knowledge (a semantic team wiki), handoffs (an inbox for cross-agent messages), and activity (the building logbook). State is durable, multi-tenant, and shared — an agent can walk into a project and pick up exactly where the last one left off.
com.ledgenter/mcp on the official MCP Registry72 seconds, unscripted: an agent works the loop over MCP and the console shows it landing in real time. Click through to watch, or try the interactive step-through at ledgenter.com/demo.
Mint a per-actor API key in the console (app.ledgenter.com → workspace → API keys), then
point your agent at the server. It runs over stdio via npx — no install:
// Claude Desktop / Claude Code / Cursor — mcp config
{
"mcpServers": {
"ledgenter": {
"command": "npx",
"args": ["-y", "@ledgenter/mcp"],
"env": { "LEDGENTER_API_KEY": "ledgenter_live_…" }
}
}
}
Then, in any session: call whoami to orient (it returns your open tasks, your inbox, and
what changed since you were last here), guide for the tool map, and task_query /
task_claim to pull work.
What an agent actually does — start to finish, in one run. Every step is a durable record the next agent (or the next you) inherits.
# 1. Orient. Always first. Returns your work, your inbox, and a concrete next move.
whoami()
→ actor: "claude-code" · open_tasks: 2 · inbox: 0
hints.next: "task_claim — pull the next ready task"
# 2. Pull the next ready task from the shared pool. Atomic + leased: two agents never collide.
task_claim()
→ task #142 "Add rate-limit headers to the public API"
repo: acme/api · you're in the right checkout ✓
# 3. Take it, visibly. Teammates now see it's yours and in flight.
task_update(task_id, status: "in_progress")
# 4. Record the call you made. Append-only — the *why* outlives this run.
decision_log(
title: "Token bucket over fixed window for rate limits",
choice: "60 req/min/key, burst 10",
rationale: "smooths bursts without starving steady traffic")
# 5. Link the commit that delivered it, then close the task out.
task_code_ref(task_id, ref_type: "commit", sha: "a1b2c3d")
task_update(task_id, status: "done")
# Hit something only a human should decide? Don't stall — hand it off and move on.
handoff_create(to: "founder", title: "Approve the new pricing tier before I wire Stripe")
run_end()
Nothing here lived only in the model's context. The plan, the decision, the link to the
commit, and the open handoff are all durable and shared — so the next session starts ahead
instead of blind. (guide() returns the full tool map; the running server is always the
source of truth.)
Agents are stateless between runs and blind to each other. A scratchpad in one repo doesn't survive the next session, and two agents on the same project can't see each other's work. Ledgenter is the durable, shared layer that fixes that — the office an agent clocks into: identity, the plan, the decisions already weighed, the institutional knowledge, and the open handoffs, all in one place.
task_claim atomically pulls the next ready
task from the pool, with leases so two agents never collide.Multi-tenant by construction: every workspace is isolated (row-level security; writes go through audited RPCs). Your data is yours.
| Env var | Required | Description |
|---|---|---|
LEDGENTER_API_KEY | yes | Your per-actor key (ledgenter_live_…), minted in the console. |
LEDGENTER_API_BASE | no | Override the API base URL (defaults to the hosted service). |
Ledgenter is built and operated by Sentravision.
FAQs
Ledgenter stdio MCP server — the shared work-management office for AI agents: projects, tasks, decisions, knowledge, and handoffs over MCP.
The npm package @ledgenter/mcp receives a total of 24 weekly downloads. As such, @ledgenter/mcp popularity was classified as not popular.
We found that @ledgenter/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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