Algernon MCP
Fan a goal out to cheap parallel LLM workers on your own key or a free local Ollama.
Connector by sammyboi81 · GitHub account verified by the MCP Registry
Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/sammyboi81-algernon
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 1 read · 2 write · 0 delete · 2 not yet classified
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 5
Read from the source code; the running server may list different tools.
Read 1 · Look things up without changing anything.
algernon_plan
Write 2 · Create, change, send or run things.
algernon_dispatchalgernon_upgrade
Not yet classified 2 · We could not tell from the name and description.
algernon_doctoralgernon_orchestrate
Tools (5)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
algernon_dispatchRun N tightly-scoped tasks CONCURRENTLY on a fleet of cheap workers and collect every result. Stay free to think while the fleet works — N tight tasks in parallel beat one bloated serial prompt. Each worker runs on YOUR LLM key.
algernon_doctorWhich provider/model the fleet will run on right now and why (Anthropic key, OpenAI-compatible key, or a free local Ollama auto-detected). Call this first if a dispatch returns an error.
algernon_orchestrateOne shot: plan THEN dispatch. Hand it a goal; it splits the goal into k tight sub-tasks and fans them out across the fleet, then returns the plan and all results. Orchestrate a fleet, spend fewer tokens — and stay free to think.
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, so the fleet spends fewer tokens than one bloated serial prompt. Returns a task list you can feed straight into algernon_dispatch.
algernon_upgradeWhat Algernon v2 (paid) adds — budgets, cache, {{id}} data flow, progress + background jobs — and, if you give your email, a free 14-day v2 trial key. Opt-in only.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 42
- Last commit
- Sep 13, 2026 (1 month ago)
- Last release
- Sep 6, 2026 (1 month ago)
- Last package publish
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.sammyboi81/algernon- Version
- 0.1.1
- Auth
- No auth
- Packages
- pypi algernon-mcp
- License
- Apache-2.0
- Repository
- github.com/sammyboi81/algernon
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Algernon MCP. Agent Mart. https://agentmart.dev/connectors/sammyboi81-algernon (last updated 2026-10-24)