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  1. Home
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  3. Bernstein
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Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 7:01:11 PM

Bernstein

User RatingsBe the first to rate and review this MCP server!
View Repository1.2k GitHub StarsTotal stargazers on GitHub for the source repository (1,164 stars).Visit Website
developer-toolscoding-agentsorchestrationauditworkflow

Runs policy-defined agent workflows with deterministic scheduling, isolated worktrees, artifact checks, and optional audit receipts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for sipyourdrink-ltd/bernstein, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ€– More in Coding Agents

Overview

The sipyourdrink-ltd/bernstein MCP server exposes Bernstein's deterministic multi-agent orchestrator through MCP over stdio or HTTP/SSE. It runs policy-defined workflows across 40+ CLI coding agents, including Claude Code, Codex, Gemini CLI, and others, while isolating coding tasks in Git worktrees. Scheduling runs in plain Python without an LLM in the coordination loop, and execution records can be replayed or checked offline. Reach for it when agent workloads need parallel execution, approval gates, artifact lineage, or a local audit trail.

Use cases

β€’Coordinate parallel coding agents from a YAML workflow
β€’Enforce approval and role gates across agent tasks
β€’Replay agent runs for offline verification
β€’Produce audit evidence packs with lineage receipts
β€’Isolate concurrent coding tasks in Git worktrees

Key features

β€’Deterministic Python-based scheduling
β€’40+ CLI agent adapters
β€’Git worktree isolation
β€’YAML-defined phases and dependencies
β€’Replay journal and artifact lineage
β€’Optional HMAC-chained audit log

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Bernstein.

Extracted Tool Capabilities
Deterministic Python-based scheduling
40+ CLI agent adapters
Git worktree isolation
YAML-defined phases and dependencies
Replay journal and artifact lineage
Optional HMAC-chained audit log

How Bernstein works

What sipyourdrink-ltd/bernstein MCP server does

The sipyourdrink-ltd/bernstein MCP server makes Bernstein's workflow orchestrator available to MCP clients. Bernstein coordinates multiple command-line agents from a declarative YAML workflow. A workflow can define phases, roles, dependencies, and conditions that control when each node runs. The resulting work can be source-code changes, research reports, datasets, operational results, or audit evidence.

The orchestration layer is intended for local execution rather than a hosted data plane. It supports more than 40 CLI agent adapters, including Claude Code, Codex, Cursor, Aider, Gemini CLI, GitHub Copilot CLI, OpenHands, OpenCode, Goose, Qwen, and Ollama. A generic prompt wrapper is also available according to the project description.

How it works

Bernstein evaluates the workflow graph with a deterministic scheduler implemented in Python. Models do not choose the next task or alter the coordination plan, so the same workflow can be replayed and compared with the original run. Independent nodes can run in parallel, while dependencies and phase rules control ordering and access.

Coding tasks receive separate Git worktrees by default, preventing agents from sharing mutable checkout state. Non-code tasks use workspaces under .sdd/workspaces/. Tasks claim backlog entries atomically, and merge gates can control how coding changes are integrated. The project also describes optional sandbox backends for stricter filesystem controls.

Execution records include a replay journal and lineage information. Enabling BERNSTEIN_AUDIT=1 adds an HMAC-chained audit log whose receipts can be verified offline. Artifact-mode tasks can finish with a signed lineage receipt instead of a Git commit, allowing the same governance model to cover reports, datasets, action logs, and other deliverables.

Setup and configuration

The sipyourdrink-ltd/bernstein MCP server is distributed as an open-source Python project targeting Python 3.12 or newer. The README identifies both a PyPI package and a container image, and documents MCP server operation over stdio and HTTP/SSE. The supplied material does not include the exact launch command or a complete MCP client configuration block, so installation commands should be taken from the project's installation documentation rather than inferred here.

Configuration is centered on YAML workflow files. These files specify the run graph, phases, roles, dependencies, and artifact expectations. The audit log is opt-in through the BERNSTEIN_AUDIT environment variable. Bernstein also includes an air-gap installation profile for environments that cannot use an external network path.

Limitations and notes

The project labels itself beta and says it is solo-maintained and under active development. Minor releases may change interfaces, so the README recommends pinning versions for dependent deployments. Worktree isolation can be disabled, in which case tasks use a shared checkout. The provided material does not establish support for a particular named MCP desktop client, nor does it describe authentication requirements for the MCP endpoints.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1.2k
Stargazers on the source repository.
Last commit
Today
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Bernstein

The project provides a PyPI package, a container image, and installation documentation, but the supplied material does not include an exact installation command.

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Technical Specs & Signals

CategoryπŸ€–Coding Agents
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseApache-2.0
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 11, 2026
9/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1,164
GitHub Star CountTotal stargazers on GitHub representing community popularity (1,164 stars).
Last commitToday
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 11, 2026
55Quality signal: Good Β· 55/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools21/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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