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lumen MCP Server

ory/lumen

Score: 70.0 Rank #4054 Database
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Save 30% token costs when using Claude Code, Codex, OpenCode for free - with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec.

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

ory/lumen is a Go tool. Save 30% token costs when using Claude Code, Codex, OpenCode for free - with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via Ollama and SQLite-vec. Topics: agentic-coding, claude, claude-code, codex, gemini, golang, gpt-5, claude-ai, claude-pl, context, mcp, mcp-server, plugin.

Ranked #4054 out of 24846 indexed tools.

Ecosystem

Go NOASSERTION
agentic-codingclaudeclaude-codecodexgeminigolanggpt-5claude-aiclaude-plcontextmcpmcp-serverplugin

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 308

308 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 36%

15/42 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 36
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 31 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 27 open vs 15 closed issues — triaging stale issues improves health

Badge all embed codes →

AgentRank score for ory/lumen
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Matched Queries

topic:mcptopic:mcp-server

From the README

Claude reads entire files to find what it needs. Lumen gives it a map.

Lumen is a 100% local semantic code search engine for AI coding agents. No API
keys, no cloud, no external database, just open-source embedding models
([Ollama](https://ollama.com/) or [LM Studio](https://lmstudio.ai/)), SQLite,
and your CPU. A single static binary and your own local embedding server.

The payoff is measurable and reproducible: across 9 benchmark runs on 9
languages and real GitHub bug-fix tasks, Lumen cuts cost in **every single
language** — up to 39%. Output tokens drop by up to 66%, sessions complete up to
53% faster, and patch quality is maintained in every task. All verified with a
[transparent, open-source benchmark framework](docs/BENCHMARKS.md) that you can
run yourself.

|                        | With Lumen                    | Baseline (no Lumen)  |
| ---------------------- | ----------------------------- | -------------------- |
| Cost (avg, bug-fix)    | **$0.29** (-26%)              |
Read full README on GitHub →

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