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Kivgraph

Local MCP server that builds a code graph so coding agents get exact symbol references and cross-repository change impact.

Actively maintained

At a glanceswept Oct 18, 2026

≈ 1visits/mo

Emerging · estimate, read Oct 18, 2026

For
developers using coding agents like Claude Code or Codex before changing code across repositories
Activity
Actively maintainedrelease 7 weeks ago · site updated 7 weeks ago
Runs as
Self-hosted
Used for
  • find every call site of a function across repositories
  • trace which files break before changing a symbol
  • locate files that consume a declared type or enum
Worth knowingcomputed from what we read · each with its source
  • Publishes llms.txt, a file written for AI assistantskivgraph.dev ↗
  • Launched on Product Hunt on Aug 31, 2026Product Hunt ↗
How a program reaches itfound, not claimed · read Oct 21, 2026

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Developer toolsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is Kivgraph?

    Local MCP server that builds a code graph so coding agents get exact symbol references and cross-repository change impact. It is listed in the Atlas under Developer tools.

  • Who is Kivgraph for?

    developers using coding agents like Claude Code or Codex before changing code across repositories

  • Do people use Kivgraph?

    Emerging: ≈ 1 visits/mo · estimate, 2026-10.

  • Is Kivgraph still maintained?

    Actively maintained: release 7 weeks ago · site updated 7 weeks ago.

  • What are alternatives to Kivgraph?

    In Developer tools, by use: Augment Code, Imbue, zeroheight, Cline Agent, Sourcegraph, Zencoder.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk