pyslang-mcp is an open-source MCP server and CLI tool for analyzing Verilog and SystemVerilog code using pyslang. It offers a read-only API for hardware engineers to automate code analysis and verification tasks. Below are 6 frameworks & sdks apps with similar functionality to pyslang-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCP (Model Context Protocol) server for pyscn Python code analyzer
slack-mcp is an open-source Python implementation of an MCP server designed for integration with Slack. It allows developers to automate workflows and messaging using the Model Context Protocol. The package is MIT licensed and suitable for bot and automation developers.
mcp-sympy is an open-source MCP server that exposes the symbolic mathematics capabilities of SymPy through a programmable API. It enables developers to integrate advanced math operations into their applications using the MCP protocol. Distributed under the MIT license.
sql-sop-mcp is an open-source Model Context Protocol server that exposes the sql-sop SQL linter to large language models via API. It enables developers to integrate SQL safety checks into LLM-powered workflows, supporting tools like Claude, Cursor, and ChatGPT.
lm-mcp is an open-source MCP server that integrates LogicMonitor platform APIs with external systems. It provides an API gateway for monitoring and automation, targeting DevOps engineers and system integrators.
ltspice-mcp is an open-source MCP server that allows large language models like Claude to edit LTspice schematics, run SPICE simulations, and parse results. It is designed for electronic engineers and AI developers working with circuit simulation and automation workflows.
