Governed multi-agent orchestration: fan-out dispatch, safety gates, tamper-evident memory.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Documentation Overview
sentarion-mcp (v0.2.2) — governed multi-agent orchestration for AI
Install: pip install sentarion-mcp · Command: sentarion · Apache-2.0 · Hosted endpoint
Sentarion composes three open-source MCP servers into one governed substrate — it connects to them as an MCP client, it does not reimplement them:
- Algernon — fan-out planning/dispatch to cheap parallel workers on your key (or a free local Ollama, auto-detected since 0.2.2)
- ArkHive — hosted, tamper-evident audit/memory chain
- a local covenant chamber (Humane Intelligence, or the bundled
arkhive-mcppackage when Humane is not installed)
Quick start (Claude Desktop / Claude Code / Cursor)
Leave the key out and the fleet runs on your local Ollama if one is running. Then say: "Use sentarion: birth yourself as Scout, then orchestrate_and_record a plan for X with k=3."
Tools
| tool | what it does |
|---|---|
sentarion_birth(name, covenant) | earn a soul_id before acting (Law 5: born, not configured) |
remember / recall / verify | dual-chain memory: local chamber + hosted ArkHive, merged newest-first, both provable |
govern(action, flags, rules) | two-chamber, zero-LLM, fail-closed "may I?" gate |
orchestrate_and_record(goal, k) | gate → Algernon plan+dispatch → auto-logged to both chains |
dispatch_with_dependencies(tasks_json) | gate → waves by depends_on; dependents receive {{id}} results (data flow, new in 0.2.2) |
recall_and_replan(query, k) | history-primed plan (plan only, no dispatch) |
cost_estimate(k, in_price, out_price) | rough pre-dispatch cost |
worktree(action, repo_path, ...) | governed git-worktree sandbox: create / list / remove |
sentarion_pro() | what the paid v2 upgrade adds |
Governance — real, wired, fail-closed
Two governors, one decision rule: a rendered veto blocks; a chamber that fails to answer never manufactures a
veto; if no chamber renders a verdict, the action is blocked. Every tool that executes work or mutates state
(orchestrate_and_record, dispatch_with_dependencies, worktree create/remove) passes the gate first.
0.2.2 — what changed (found by dogfooding)
- Fleet config is explicit. 0.2.1 passed the whole ambient environment to Algernon, so a stale
OPENAI_API_KEYin your shell could silently override your Ollama setup (401). NowSENTARION_FLEET_PROVIDER=anthropic|openai|ollamawins, else a set key, else a local Ollama. - Local chamber always exists. Without Humane installed, the bundled
arkhive-mcppackage is the local chamber (own chain at~/.sentarion/local_chamber.db). "humane_not_configured" is gone. - Dependencies carry data.
{{t1}}in a dependent prompt is replaced with task t1's result. - Hosted birth works (the hosted 0.x server typed
covenantas a string; we retry with one). recall_and_replanno longer sends an argument the hosted recall never accepted.- Removed the unused
mcp-agentdependency; added project URLs.
Upgrade: Sentarion v2 (paid)
Everything above stays free forever. v2 is the in-house upgrade for teams who run this daily:
in-process composition (no subprocess per call), concurrent gate with inferred risk flags and stored
policies, {{id}} data flow with budgets + cache + retries, signed audit manifests for every run,
adversarial multi-agent code review, worktree sandbox with diff/patch/commit, real cost estimates,
MCP progress + background jobs, hosted per-key tenants. Trial key + pricing: https://inboxaxe.com/mcp
Support this project
Sentarion, Algernon and ArkHive are free, open source, and built on our own hardware. Donate: https://dondatabrain.com · Business suite: https://inboxaxe.com
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CategoryKnowledge & Memory
27Quality signal: Emerging · 27/100How this signal is calculated ▾
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