Clixad
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Developers who prefer terminal workflows
Naja-scope
FreeOpen SourceSelf-HostedAgentic
Pasting RTL into a chat window to ask a connectivity question is how you burn context budget and still get a wrong answer — naja-scope exists to stop that loop.
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Get This Tool
License: Apache-2.0 Any use incl. commercial
Local-run terms: Install via pip; source available on GitHub under Apache-2.0 for commercial and non-commercial use.
Pricing
- Model
- Free
Summary
naja-scope runs as an MCP server that lets an agent like Claude interrogate an elaborated SystemVerilog design through targeted queries — what drives this signal, what's inside this module, where does this net terminate — and returns exact file-and-line answers instead of requiring the full source in context. The agent asks; the tool answers precisely. It's built on the najaeda netlist engine and installs via pip. The ceiling appears fast: there's no hosted API, no GUI, and the query surface is scoped narrowly to signal tracing and hierarchy exploration. Teams needing schematic visualization or integration into EDA toolchains will be stitching naja-scope to other systems themselves.
Bottom line: Pick this when your AI coding assistant keeps hallucinating signal paths because your design is too large to paste — skip it when your team needs visual hierarchy browsing or EDA-native integration that isn't a Python MCP server.
Find your fit
Before you choose Naja-scope
More options in CLI Coding Agents. Compare pricing, platforms, and features side by side.
Airuncode
Freemium
Developers preferring fully local agent execution
Pros
- Query-driven design exploration rather than context-window dumps, so agents get precise file-and-line answers without burning tokens on thousands of RTL lines the model won't trace correctly anyway.
- Operates on the elaborated netlist via the najaeda engine, which means cross-hierarchy signal tracing returns structurally correct answers instead of guesses from partial source text.
- MCP-compatible server interface, so any agent that speaks MCP — including Claude — can connect without a custom integration layer being written by your team.
- Apache-2.0 licensed and self-hosted, which means your design IP never leaves your infrastructure and there's no vendor dependency for continued access.
- pip-installable with no build toolchain required, so a designer can add it to an existing Python environment without involving a DevOps team.
Cons
- The query surface covers signal tracing and hierarchy navigation only — teams that also need timing analysis, power domain queries, or constraint checking against the same design will find naja-scope answers one narrow set of questions and nothing adjacent, forcing a separate toolchain for everything else.
- No GUI or visual hierarchy browser exists; all interaction goes through the agent query interface, which means designers who want to explore a design spatially rather than by asking questions will hit a dead end immediately and need a different tool.
- The project has a small commit history and no documented third-party integrations or commercial support tier — teams with production uptime requirements on their AI-assisted design review flow are taking on an unmaintained-dependency risk that typically triggers a switch to a vendor-backed tool when the first blocking bug appears and a fix timeline is uncertain.
About
- Platforms
- Python, pip
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- July 1, 2026
Best For
Who it's for
- Hardware designers using AI coding assistants
- SystemVerilog RTL and netlist analysis
- MCP-compatible agents like Claude
- Avoiding large context windows for design queries
What it does well
- Trace signal drivers and loads across module boundaries
- Explore design hierarchy on demand
- Recover design intent from elaborated netlists
- Navigate large SystemVerilog or gate-level designs with AI agents
Integrations
Frequently Asked Questions
- Is Naja-scope free?
- Naja-scope offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is Naja-scope open source?
- Yes. Naja-scope is open source.
- Can I self-host Naja-scope?
- Yes. Naja-scope supports self-hosting on your own infrastructure.
- What platforms does Naja-scope support?
- Naja-scope is available on: Python, pip.
Curated lists that include this category
Large SystemVerilog designs break the standard AI-assistant workflow at the context boundary: the design doesn’t fit in the window, partial pastes lose cross-hierarchy connectivity, and the model guesses. naja-scope addresses this by acting as an MCP server that an agent queries on demand. Instead of ingesting thousands of RTL lines, the agent calls naja-scope with a specific question — signal driver, net load, module contents — and gets back a small, structured answer with file and line references. The install path is `pip install naja-scope`; it then runs as a server that MCP-compatible agents connect to.
The differentiating mechanism is the najaeda netlist engine underneath. The server operates on the elaborated netlist, not raw text, so it can answer cross-hierarchy connectivity questions that a pure text-search approach cannot. That’s the gap it fills: asking ‘what drives this net three levels up’ against a gate-level or RTL design and getting a correct, sourced answer without the model guessing from incomplete context.
Where it fits: hardware designers using Claude or another MCP-compatible assistant to navigate large RTL or gate-level designs during code review, debugging, or intent recovery from elaborated netlists. Where it breaks: the tool provides no GUI, no hosted API, and no integration with commercial EDA environments. Teams that need schematic-style hierarchy browsing, or whose design flow is locked inside a vendor toolchain, will find naja-scope sitting outside their workflow with no bridge provided. The codebase is Apache-2.0 licensed and self-hosted only — there is no managed cloud option.
The GitHub repository documents MCP server usage explicitly with Claude as the reference agent. The project is early-stage by commit count, with no third-party integrations listed and no alternatives documented by the vendor. Teams adopting it are effectively taking on a dependency on an active but small open-source project without a commercial support tier.
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