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Agent Booster MCP Server

local only

Agent Booster runs on your own machine — the client starts it, so there is no endpoint to ping. 446 installs a week from pypi. Last commit 12 Jul 2026.

Cut AI agent token costs 5-15x — routes only relevant code symbols instead of full files.

Installs per day peak 393 · avg 108 · -20% w/w
a month agotoday
446
Installs / week
pypi · agent-booster
2
Stars
1 open issues
12 Jul 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 1 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Reads files and sends them to the network booster/cli.py:1469, [пакет] booster/cli.py:1469
    for p in root.rglob("*"):

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add agent-booster -- uvx agent-booster
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "agent-booster": {
      "args": [
        "agent-booster"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.agent-booster]
command = "uvx"
args = ["agent-booster"]
.cursor/mcp.json
{
  "mcpServers": {
    "agent-booster": {
      "args": [
        "agent-booster"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "agent-booster": {
      "args": [
        "agent-booster"
      ],
      "command": "uvx"
    }
  }
}

Alternatives to Agent Booster

same job, measured the same way
Code Context Engine
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Index your codebase. AI searches instead of re-reading files. 94% token savings.

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TokenSave
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AnchorDB
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Persistent code memory for AI agents: notes pinned to files and symbols that survive refactors.

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GitHub for AI agents — repos, files, code search, issues, PRs, commits. Read-only default.

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fittok
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Retrieve only the relevant code for a codebase question, within a token budget.

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trovex
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Serves coding agents one canonical doc per query instead of rereading the repo — ~60% fewer tokens.

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Agent Skill Loader
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Dynamically load Claude Code skills into AI agents without copying files.

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Agent Booster — questions

Answers built from our own checks of this server.

Why is there no uptime for Agent Booster?
Agent Booster runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package agent-booster was installed 446 times last week.
How do I connect Agent Booster?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls agent-booster straight from pypi; nothing to host, nothing to sign up for.
How many people use Agent Booster?
The pypi package agent-booster was installed 446 times in the last week. Week over week that is -20%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Agent Booster open source?
Yes — it is published under the MIT licence, written in Python, 2 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.