io.github.figuard/figuard-mcp

Pre-flight spend authorization for AI agents. Set a budget, enforce limits, audit every decision.

What does this entry provide?

io.github.figuard/figuard-mcp is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.figuard/figuard-mcp to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: npm
Repo: figuard/figuard-core
Repo updated: Jun 17, 2026

Install command

npx -y figuard-mcp@1.2.0

Install method: npm

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jun 17, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-06-17T12:06:49.169959Z",
      "publishedAt": "2026-06-17T12:06:49.169959Z",
      "statusChangedAt": "2026-06-17T12:06:49.169959Z"
    }
  },
  "server": {
    "name": "io.github.figuard/figuard-mcp",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.2.0",
    "packages": [
      {
        "version": "1.2.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "figuard-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "FIGUARD_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "FiGuard API key — set this (with FIGUARD_BASE_URL) to use a self-hosted FiGuard server. Leave unset to run embedded: in-process enforcement against a local SQLite file, no account or server needed."
          },
          {
            "name": "FIGUARD_BASE_URL",
            "format": "string",
            "description": "Self-hosted FiGuard server URL. Leave unset to run embedded against a local SQLite file."
          },
          {
            "name": "FIGUARD_DATABASE",
            "format": "string",
            "description": "Path to the embedded SQLite file (default ~/.figuard/figuard.db). Embedded is the default backend — no server required."
          },
          {
            "name": "FIGUARD_MODE",
            "format": "string",
            "description": "Backend mode: embedded | server | sandbox. Defaults to embedded when nothing else is configured."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/figuard/figuard-core",
      "source": "github",
      "subfolder": "packages/mcp"
    },
    "websiteUrl": "https://figuard.io",
    "description": "Pre-flight spend authorization for AI agents. Set a budget, enforce limits, audit every decision."
  }
}

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