# rocq-piler

> Use this tool when you need to leverage large language models (LLMs) for interactive theorem proving, bridging the gap between AI and formal verification. The rocq-piler MCP server solves problems in formal proof development by integrating LLMs with the Rocq (Coq) proof assistant via Language Server Protocol (LSP). It takes LLM inputs and outputs formal proofs, ideal for use cases requiring automated reasoning and verification.

Canonical page: https://skillsregistry.net/skills/scidonia-rocq-piler  
JSON: https://api.skillsregistry.net/v1/skills/scidonia-rocq-piler

## Description

MCP server that bridges LLMs with the Rocq (Coq) proof assistant via LSP, enabling interactive theorem proving with AI.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/odalkhgm40)
- **Repository:** <https://github.com/scidonia/rocq-piler>

## 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": "scidonia-rocq-piler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scidonia-rocq-piler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scidonia-rocq-piler/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