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Algernon MCP

· github.com/sammyboi81/algernon

Fleet orchestration for AI agents: fan tasks out to cheap parallel workers on your own LLM key.

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Scored 2 months ago · breakdown

About Algernon MCP

Algernon MCP is an MCP server in the Analytics category: fleet orchestration for AI agents: fan tasks out to cheap parallel workers on your own LLM key.

Install

uvx
uvx algernon-mcp
pip
pip install algernon-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (3)

algernon_dispatchRun N tightly-scoped tasks **concurrently** on the cheap worker fleet and collect every result. Each worker runs on **your** LLM key; you stay free to think while the fleet works. Takes a JSON array of `{id, prompt}`.

Parameters not published.

algernon_orchestrateOne shot: **plan then dispatch.** Hand it a goal; it splits into `k` tight sub-tasks, fans them across the fleet, and returns the plan and all results together.

Parameters not published.

algernon_planDecompose a goal into `k` tightly-scoped, **independent** sub-task prompts (one cheap LLM call). Tight scoping is the token lever — each worker sees only its slice. Returns a task list you can feed straight into `algernon_dispatch`.

Parameters not published.

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About Algernon MCP

How do I install Algernon MCP?

Run uvx algernon-mcp, then add the server to your MCP client's configuration.

Is Algernon MCP safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Algernon MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.