Gvnr

Budget & cost control for AI agents — per-agent spend caps + rate limits before each call.

What does this entry provide?

Gvnr 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 Gvnr 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: streamable-http
Repo: mightbesaad/gvnr
Repo updated: Jun 2, 2026

Install command

mcp add dev.gvnr/gvnr https://gvnr.dev/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jun 2, 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.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-06-02T11:52:14.498477Z",
      "publishedAt": "2026-06-02T11:52:14.498477Z",
      "statusChangedAt": "2026-06-02T11:52:14.498477Z"
    }
  },
  "server": {
    "name": "dev.gvnr/gvnr",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "docs": "https://gvnr.dev",
        "license": "MIT",
        "pricing": "https://gvnr.dev#pricing",
        "manifest": "https://gvnr.dev/.well-known/mcp.json",
        "categories": [
          "agent-infrastructure",
          "spend-management",
          "rate-limiting",
          "idempotency",
          "approval-workflows",
          "x402-payments"
        ],
        "agentSkills": "https://gvnr.dev/.well-known/agent-skills/index.json"
      }
    },
    "title": "Gvnr",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://gvnr.dev/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "isSecret": true,
            "isRequired": true,
            "description": "Bearer API key obtained from POST https://gvnr.dev/v1/account"
          }
        ]
      }
    ],
    "version": "1.8.1",
    "repository": {
      "url": "https://github.com/mightbesaad/gvnr",
      "source": "github"
    },
    "websiteUrl": "https://gvnr.dev",
    "description": "Budget & cost control for AI agents — per-agent spend caps + rate limits before each call."
  }
}

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