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Particles MCP Server

by linkedparticles Your server? Claim it
local only

Particles runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 13 Sep 2026.

An append-only ledger of sourced, dated, confidence-scored claims your agent cites and you audit

Installs / week
pypi · linkedparticles
2
Stars
0 open issues
13 Sep 2026
Last commit
no recent releases
Apache-2.0
License
Python

What the code does

We read the source, 21 h ago · rules 3dff92dd89df

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Runs an external command .github/dco_check.py:74
    return subprocess.run(["git", *args], capture_output=True, text=True, check=True).stdout.strip()

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

Nothing serious here today

Today is the operative word: we check Particles every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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 particles -- uvx linkedparticles
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "particles": {
      "args": [
        "linkedparticles"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.particles]
command = "uvx"
args = ["linkedparticles"]
.cursor/mcp.json
{
  "mcpServers": {
    "particles": {
      "args": [
        "linkedparticles"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "particles": {
      "args": [
        "linkedparticles"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: ANTHROPIC_API_KEY (Anthropic API key. Required for the tools that call a model — `query` composes a cited natural-language answer, and the semantic half of `lint` reasons over claim pairs. The accessors that only read the store (`particle_show`, `particles_list`, `subjects_*`, `events_*`, `graph_view`, `quality_report`) work without it.), DATABASE_URL (SQLAlchemy URL of the belief store to serve. Defaults to `sqlite+aiosqlite:///./particles.db` in the working directory.), PARTICLES_CONFIG (Path to a `config.yaml` holding the rest of the engine's settings — additional stores, model selection per purpose, and the `mcp.write.enabled_stores` allowlist that turns the write tools on.). The author declared them in the registry entry; get the values from the project itself.

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Particles — questions

Answers built from our own checks of this server.

Why is there no uptime for Particles?
Particles 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 linkedparticles.
How do I connect Particles?
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 linkedparticles straight from pypi; nothing to host, nothing to sign up for.
Is Particles open source?
Yes — it is published under the Apache-2.0 licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.