# FineMCP

> Use this tool when you need to build scalable and compliant MCP servers and clients with advanced features like rate limiting, RBAC, and observability. FineMCP solves problems related to production-grade MCP development, providing a framework for secure, reliable, and performant communication. It takes Go structs as input and outputs production-ready servers and clients with automatic JSON Schema generation and supports multiple transport types.

Canonical page: https://skillsregistry.net/skills/finemcp  
JSON: https://api.skillsregistry.net/v1/skills/finemcp

## Description

A Go framework for building production-grade MCP servers and clients with full MCP spec compliance. Provides 16 production middleware components including rate limiting, RBAC per tool, circuit breaker, audit logging, and cost tracking. Supports five transport types (stdio, HTTP, SSE, Streamable HTTP, WebSocket), automatic JSON Schema generation from Go structs, multi-tenancy, and OpenTelemetry observability with a zero-network test harness.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/finemcp)
- **Repository:** <https://github.com/finemcp/finemcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "finemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finemcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt