What is claude-context?

A local Model Context Protocol connection for semantic codebase search using Claude Context and a vector database. Semantic search finds code by meaning, not only by exact words.

Use it to search a codebase by concepts or behavior and retrieve related context, provided the required API and database credentials are configured.

It helps locate relevant code in a large repository when the right file or wording is not known in advance.

claude-context — MCP server for Claude Code and Codex by agentalabs: A local Model Context Protocol connection for semantic codebase…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add mcp/agentalabs/agenta-plugin/claude-context

Clone the repo

git clone --depth 1 https://github.com/agentalabs/agenta-plugin

Made for: Claude Code, Codex, Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/mcp/agentalabs/agenta-plugin/claude-context.svg)](https://agentmods.dev/mcp/agentalabs/agenta-plugin/claude-context)

Your own site

<a href="https://agentmods.dev/mcp/agentalabs/agenta-plugin/claude-context"><img src="https://agentmods.dev/badge/mcp/agentalabs/agenta-plugin/claude-context.svg" alt="Measured on agentmods" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

claude-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.mcp.json · 14 lines

What it actually says

{
  "claude-context": {
    "command": "npx",
    "args": [
      "-y",
      "@zilliz/claude-context-mcp@latest"
    ],
    "env": {
      "OPENAI_API_KEY": "${OPENAI_API_KEY}",
      "MILVUS_TOKEN": "${ZILLIZ_API_KEY}"
    },
    "description": "Vector search + semantic codebase search with 40% token reduction"
  }
}

Same file

What else `.mcp.json` configures

This page is one entry in a file that holds 10. Installing the file brings all of them; each is measured and scanned on its own page.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

3d ago First seen · 14 lines scan A 3f8c8544ff79

Subscribe to this mod's changes

claude-context is an MCP server published in the GitHub repository agentalabs/agenta-plugin (2 stars, last pushed 5mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI Memory and context RAG and vectors

context-engine

Task-aware context compression for logs, RAG, and coding workflows. Runs locally from the melonelish-context-engine Python package.

melonelish/context-engine · not measured

token-savior

Optimized MCP server for AI coding agents. Structural codebase navigation + persistent memory engine — 97.9% accuracy at −80% tokens on tsbench. Runs locally from the token-savior-recall Python package. Needs 3 environment variables to run.

sepehrbayat/SEPCC · not measured

rag-rat

CLI and MCP entrypoint for indexing repositories into local source, graph, history, and memory evidence. Runs locally from the @rag-rat/bin npm package.

cq27-dev/rag-rat · not measured

agentic-task-system

MCP server giving AI agents persistent task memory across TickTick, Notion, GitHub, Linear & Beads. Runs locally from the @reneza/ats-mcp npm package. Needs 1 environment variable to run.

renezander030/agentic-task-system · not measured

inspeximus

The agent memory that takes it back: correct a fact once and the retired value stops coming back, by key, with no LLM in the loop. Long-term memory for AI agents in a zero-dependency single file + MCP server, with value-ranked recall, per-type decay, consolidation, revert, and tamper-evident erasure. Runs locally from…

DanceNitra/inspeximus · not measured

coalent

A real-time, provenance-invalidated cognitive cache layer for AI agents and RAG. Runs locally from the coalent Python package. Needs 2 environment variables to run.

Vectorlink-Labs/coalent · not measured