Dafny Verifier
This Dafny Verifier MCP server, developed by Nada Amin, provides a Python-based interface for AI assistants to verify Dafny code. Built using the FastMCP framework and integrating with the local Dafny installation, it offers a tool for code verification with customizable timeout settings. The implementation focuses on efficient code analysis, making it easier for AI models to check the correctness of Dafny programs. It's particularly useful for enhancing AI-driven software development workflows, enabling automated verification of formal specifications and proofs without requiring deep knowledge of Dafny's command-line interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- other
- Source
- PulseMCP
- Repository
- github.com/namin/dafny-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Dafny Verifier from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.