Hoplon

Hoplon

Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.

Category
Visit Server

README

Hoplon

CI License: MIT Node.js 22+

Deterministic repository boundaries for AI coding agents and the humans who direct them.

Hoplon sits between an agent and a repository. A human or host declares what the agent may inspect and modify; Hoplon supplies structured reads, supervised edits, content-addressed snapshots, deterministic audits, recovery, and machine-readable evidence.

Hoplon began as the repository boundary for Project Phalanx. It is intentionally standalone: any agent, MCP client, CI worker, or custom host can use the same contracts without adopting Phalanx.

Developer preview: the deterministic core and shipped transports are usable today, but the public API is still on the 0.4.x line. Expect additive growth and clearly documented compatibility changes before 1.0.

Why Hoplon

Agentic coding can waste context and reviewer time long before a test fails. Hoplon moves mechanical questions to the repository boundary:

  • What was the agent allowed to read or change?
  • Did the resulting diff stay within that contract?
  • Was a symbol, signature, import, path, or file boundary violated?
  • Can a failed attempt be reverted without contaminating the next one?
  • Which claims are deterministic, and which are only advisory?

The answer is a typed result backed by snapshots and AST checks, not an agent summary that the host must trust.

What ships

Capability Posture
Structured reads and search Shipped through seeCodebase, symbol search, tree-sitter queries, templates, and AST-bounded context packing
Supervised non-binary edits Shipped through ordered edit sessions and MCP/HTTP session tools
Snapshots and deterministic audit Shipped through preflight, createSnapshot, dryRun, auditDiff, and revertUncontracted
Recovery and review evidence Shipped through review payloads, rollback templates, repair context, and snapshot evidence
CLI, MCP, HTTP, and gRPC Shipped over the same engine contracts
Semantic, ML, DLP, and provider-backed references Advisory and host-bound; unavailable is reported honestly when no provider is configured

Hoplon does not choose models, execute arbitrary shell commands, own retry policy, or replace tests and human review.

Quick start

Requirements: Git and Node.js 22 or newer.

git clone https://github.com/justguy/hoplon.git
cd hoplon
npm ci
npm run build
node dist/bin/hoplon.js status \
  --root . \
  --grammars-dir vendor/grammars \
  --format human

Run the executable boundary example:

npm run example:bounded-edit

It creates an isolated temporary repository, accepts an edit inside the declared symbol boundary, blocks an out-of-scope symbol, reverts the workspace, and prints the evidence returned by the real session path.

For development proof:

npm run typecheck
npm run test:arch
npm run test:contracts
npm run test:proof

The contract

A writable manifest is the boundary a human or host gives the agent:

const manifest = {
  manifestSchemaVersion: 2,
  projectId: 'widget',
  runId: 'run-42',
  correlationId: 'change-price-format',
  entries: [
    {
      path: 'src/format.ts',
      intent: 'modify',
      scope: { kind: 'symbols', symbols: ['formatPrice'] },
    },
  ],
};

The normal supervised loop is:

read with provenance
  -> declare manifest
  -> preflight
  -> snapshot
  -> dry-run (optional)
  -> apply or declare edits
  -> audit
       PASS  -> review/evidence -> close
       BLOCK -> revert -> repair context -> host decides what follows

Hoplon owns repository facts. The host owns workflow policy.

Connect an agent over MCP

After building Hoplon, point an MCP client at the launcher. Replace the two absolute paths with the Hoplon checkout and the repository the agent should work in:

{
  "mcpServers": {
    "hoplon": {
      "command": "node",
      "args": [
        "/absolute/path/to/hoplon/dist/bin/hoplon.js",
        "mcp",
        "serve",
        "--root",
        "/absolute/path/to/target-repository",
        "--grammars-dir",
        "/absolute/path/to/hoplon/vendor/grammars"
      ]
    }
  }
}

Use --agent-profile strict-agent when the host has completed project registration and folder-policy onboarding. The default profile remains the compatibility surface.

Use as a library

The public package name is @phalanx/hoplon; the name records the project's origin, not a runtime dependency on Phalanx.

import {
  createDefaultHoplonEngine,
  createHoplonEditSession,
} from '@phalanx/hoplon';

The engine is adapter-first. Filesystems, versioning, snapshot stores, locks, code intelligence, scanners, policy providers, vector stores, and behavior test runners are injected rather than read from ambient state.

See Integration and Host workflow for the supported entry points.

Security model

Hoplon's deterministic verdicts use manifest, path, snapshot, and AST facts. Semantic retrieval, model output, behavior tests, risk scores, and optional provider results cannot silently change structural PASS/BLOCK authority.

Hoplon is not a process sandbox. Read SECURITY.md and the threat model before granting an agent repository access.

Repository map

  • src/hoplon/contracts — versioned DTOs and schemas
  • src/hoplon/operations — deterministic and advisory operations
  • src/hoplon/session — supervised edit state machine
  • src/hoplon/adapters — environment seams and default implementations
  • src/hoplon/transport, src/hoplon/mcp — remote and agent-facing surfaces
  • packages — optional adapter packages
  • tests — contract, flow, transport, self-hosting, and architecture proof

The current implementation truth is in ARCHITECTURE.md. The product intent is in HOPLON_VISION.md.

Contributing

Issues, design feedback, host integrations, language support, and adapter contributions are welcome. Start with CONTRIBUTING.md. Security findings belong in private vulnerability reports, not public issues.

License

Hoplon core is available under the MIT License. Optional packages declare their own licenses; in particular, the Semgrep adapter remains a separate LGPL-licensed package and is never bundled into the MIT core.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured