MCP.Market

Code Context MCP server

by infino-ai·io.github.infino-ai/code-context·v0.5.1·32 stars

Local code search for AI coding agents: hybrid keyword + semantic + SQL over an index in your repo.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

32 stars114 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Code Context tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • reindex

    Bring the index up to date with the working tree. Incremental by default: only files that

  • search

    Semantic + keyword code search over the indexed repository - a strong default for finding

  • sql

    Whole-repo analytical questions that file tools cannot express at any budget: counts,

Public scan report

scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it

no findings
  • Code scan19 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Code Context compares

Against every graded SEO MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 87% of 769 SEO servers
Tools
3
the typical SEO server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
32
more than 95% of 405 SEO servers
Downloads a week
114
more than 66% of 170 SEO servers with a package

What its tools let an agent do: 3 read

Release history: 2 versions in the registry since 2026-08-24, latest 2026-09-21, typically one every 28 days.

Install Code Context in Claude Code, Cursor or VS Code

Runs npx -y @infino-ai/code-context on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add code-context -- npx -y @infino-ai/code-context
Add to Cursor

What the publisher says

From the Code Context repository's README, as published. We do not edit it. Read it on GitHub

code-context is the retrieval layer under your coding agent: one local index over the whole repo (keyword, semantic, hybrid, and SQL), reached through an MCP server and a CLI, with the index living in plain files inside your repo. Your agent answers questions about the codebase without reading it file by file.

The rule of thumb: the more a question spans the repo, the more this saves, because the answer comes from a ranked index instead of pulling source into context one file at a time.

On your own codebase, ~30-40% fewer tokens and ~50% fewer tool calls (so answers land faster too - aggregation questions run about 2× quicker). The harness is in the repo, so you can reproduce it on your own code.

Try it live (early preview): ask questions about any public GitHub repo at lantern.infino.ai, a demo agent that runs on code-context.

matching with semantic similarity, and every hit carries the code with path:line citations.

  • 🔎 Find code by words or meaning. One ranked pass fuses exact keyword

function, so "which files have the most code about X" is one query: ranked by relevance, tallied by GROUP BY.

  • 📊 Ask questions grep can't answer. Search works as a SQL table

before the embedding model even finishes downloading, vectors backfill in the background, and edits re-sync incrementally: only changed files re-chunk and re-embed.

  • ⚡ Searching in seconds, fresh forever. The keyword index commits

server, no telemetry. Embedding is a small local model, downloaded once; after that everything works offline.

  • 🔒 Nothing leaves your machine. No accounts, no API keys, no database

Built on infino, a fast retrieval engine that runs SQL, full-text search, and vector search over a single copy of your data. Text and numeric data is stored as spec-compliant Parquet, and the same engine handles logs, docs, and agent memory.

Claude Code answering questions about a repo through code-context: index it, then ask, and it reaches for search and SQL on its own.

Quick start

Install the Claude Code plugin - nothing to paste into a config:

/plugin marketplace add infino-ai/code-context
/plugin install code-context@infino-ai

It registers code-context's three tools with alwaysLoad already set, so the agent keeps them in view and reaches for the index directly instead of falling back to plain file search.

Not on Claude Code, or prefer a one-line command? Add it as an MCP server:

claude mcp add-json code-context -s user '{"command":"npx","args":["-y","@infino-ai/code-context","mcp"],"alwaysLoad":true}'

The alwaysLoad flag pins this small tool set so that in a setup with many MCP servers - where clients defer tool definitions behind a tool-search step - the agent doesn't miss the index and fall back to plain file search. (Use either the plugin or this command, not both.)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Code Context: common questions

Is Code Context MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Code Context safety report
How do I install Code Context?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Code Context need an API key?
No secret keys are declared. It reads 5 settings from the environment.
Is Code Context maintained?
The last commit was 5 days ago (2026-10-30). The latest release is v0.5.1.
What can I use instead of Code Context?
Servers from other publishers that do the same job: Miru MCP server, squirrelscan MCP server and DispatchSEO MCP server. Compare all Code Context alternatives.
How does Code Context compare with other SEO MCP servers?
safety score 91/100 (higher than 87% of 769 SEO servers); tools 3 (the typical SEO server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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