What are the system requirements?
A working IDA Pro installation, Python 3.8 or higher, and the `IDADIR` environment variable set to the IDA Pro directory.
@Sysc4lls
基本情報
Ida documentation reader (sort-of) mcp server
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
It is a personal project that provides documentation and utilities for working with IDA Pro through MCP (Machine Code Processor). It allows an LLM to better understand the IDA Pro API to help develop plugins and scripts. It is not meant for real-life use.
Install Python 3.8+, set the IDADIR environment variable to your IDA Pro installation, install Poetry and dependencies with poetry install, then configure the MCP server in Cursor by adding the command and path to server.py in the MCP configuration JSON.
A working IDA Pro installation, Python 3.8 or higher, and the `IDADIR` environment variable set to the IDA Pro directory.
No, the server uses idalib and does not require IDA Pro to be open (supported only after IDA 9.0).
The project is tested and supported only on Windows. Other operating systems may work with minor tweaks.
It has been tested only inside Cursor but should work with other MCP-compatible software.
No, the author explicitly states it is a for-fun project not meant for real-life use.

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

The official Semantic-UI-React integration

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
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