mcpbeat

FAR Oracle MCP Server

io.github.blueskylineassets/far-mcp-server
local only

FAR Oracle runs on your own machine — the client starts it, so there is no endpoint to ping. 143 installs a week from pypi.

Search Federal Acquisition Regulations (FAR) for government contracting.

Installs per day peak 51 · avg 21 · +77% w/w
a month agotoday
143
Installs / week
pypi · far-oracle
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

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

FAR Oracle — questions

Answers built from our own checks of this server.

Why is there no uptime for FAR Oracle?
FAR Oracle 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 far-oracle was installed 143 times last week.
How do I connect FAR Oracle?
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 far-oracle straight from pypi; nothing to host, nothing to sign up for.
How many people use FAR Oracle?
The pypi package far-oracle was installed 143 times in the last week. Week over week that is +77%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.