Global AI chat room · 17 online now Join now
R
MCP SERVER Listed

rhizome-mcp

For developers building autonomous coding agents, state management is often the weakest link. When an LLM-driven loop crashes or hits a rate limit, the entire context of a multi-step task is usually lost. Rhizome-mcp solves this by providing a robust coordination layer via the Model Context Protocol. Unlike simple memory buffers, it implements a crash-safe task tracking system using a single Go binary and a local SQLite backend. It introduces critical primitives like expiring lease claims—preventing multiple agents from stepping on each other's toes—and resumable task attempts. This allows your agents to pick up exactly where they left off after a failure. It is particularly useful for long-running refactoring jobs or complex migrations where version-pinned reviews and state persistence are non-negotiable. If you are moving beyond simple chat-based prompting toward reliable, agentic workflows, this tool provides the necessary infrastructure to ensure task atomicity and continuity.

Open ecosystemDevelopmentDevelopment
View GitHub
01 / SERVER DETAIL

Server detail

For developers building autonomous coding agents, state management is often the weakest link. When an LLM-driven loop crashes or hits a rate limit, the entire context of a multi-step task is usually lost. Rhizome-mcp solves this by providing a robust coordination layer via the Model Context Protocol. Unlike simple memory buffers, it implements a crash-safe task tracking system using a single Go binary and a local SQLite backend. It introduces critical primitives like expiring lease claims—preventing multiple agents from stepping on each other's toes—and resumable task attempts. This allows your agents to pick up exactly where they left off after a failure. It is particularly useful for long-running refactoring jobs or complex migrations where version-pinned reviews and state persistence are non-negotiable. If you are moving beyond simple chat-based prompting toward reliable, agentic workflows, this tool provides the necessary infrastructure to ensure task atomicity and continuity.

An MCP server that exposes rhizome-mcp capabilities to MCP-compatible AI clients.

CapabilitiesDevelopmentMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

Popular MCP2026.03.30Listed
My MCP2026.03.31Listed
Genie2026.03.30Listed
02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

rhizome-mcp

Callable

Call the MCP capabilities provided by rhizome-mcp and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "rhizome-mcp": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

Open source page
Email