Semantic Cache MCP

Name: Semantic Cache MCP
Author: CoderDayton

by CoderDaytonversion 0.7.0i★ 3iRuns on your computer

Registry nameio.github.CoderDayton/semantic-cache-mcp

How to install

Overview

Description from the maker (original English)

File cache for coding agents: re-reads cost ~40 tokens, changed files return diffs.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "semantic-cache": {
      "command": "uvx",
      "args": [
        "semantic-cache-mcp"
      ]
    }
  }
}

Done

Quit Claude and open it again
Done
Try it
Use Semantic Cache MCP and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Semantic Cache MCP or shows a Semantic Cache MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Semantic Cache MCP yet

Semantic Cache MCP runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Semantic Cache MCP

Steps for Claude →Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →Install Python (uv) on your computer first (one time)
Steps for Cursor →Install Python (uv) on your computer first (one time)
Steps for VS Code →Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Sentry✓ ChatGPT
Front-End Checklist✓ ChatGPT
Compiler Explorer✓ ChatGPT

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add semantic-cache -- uvx semantic-cache-mcp

Done

Type /mcp in Claude Code
You should see Semantic Cache MCP listed as connected
Done
Try it
Use Semantic Cache MCP and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Semantic Cache MCP or shows a Semantic Cache MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Semantic Cache MCP and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Semantic Cache MCP or shows a Semantic Cache MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Semantic Cache MCP and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Semantic Cache MCP or shows a Semantic Cache MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Semantic Cache MCP💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add semantic-cache -- uvx semantic-cache-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "semantic-cache": {
      "command": "uvx",
      "args": [
        "semantic-cache-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "semantic-cache": {
      "command": "uvx",
      "args": [
        "semantic-cache-mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "semantic-cache": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "semantic-cache-mcp"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 3
Downloads per weeki: 64/wk
Licence i: No licence stated
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.7.0
Categoryi: Developer tools
Published to registryi: Oct 23, 2026
Code last changedi: Oct 23, 2026
Maker: CoderDayton
Packages: pypi: semantic-cache-mcp
Repo: CoderDayton/semantic-cache-mcp
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CoderDayton, which owns the repo
✓ Pass
Still maintained
Code last changed 19 days ago
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Developer toolsi

More stars than 81% of the other 5748 servers in this category
Published to the registry more recently than 60% of the other 5748 servers in this category
Basic checks equal to or better than 100% of the other 5748 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Semantic Cache MCP safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 19 days ago, and the latest version (0.7.0) reached the registry 19 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: REA, Netdata, Front-End Checklist

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Netdata

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Front-End Checklist

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Semantic Cache MCP

Stop paying for the same file twice.

An MCP file cache for AI coding agents: a re-read costs ~40 tokens instead of the whole file.

Coding agents read the same files over and over: before an edit, after an edit, after every context compaction. A built-in Read sends the whole file each time. Semantic Cache MCP knows what your agent already holds. Measured on one 7,891-token file:

Read	Built-in `Read`	Semantic Cache MCP
First read	7,891 tokens	full file, plus a hash
Re-read, file unchanged	7,891 tokens	77 tokens
Re-read after a one-line edit	7,891 tokens	137 tokens (a diff)

Across a 48-file project it saves 98.7% of re-read tokens, and an unchanged read takes 0.17 ms. It also gives your agent grep, BM25 search and glob over the cache, atomic edits with dry_run, and token-budgeted batch reads. Three runtime dependencies, no API keys, no GPU.

Quick start

You need uv. In Claude Code:

claude mcp add semantic-cache --scope user -- uvx semantic-cache-mcp

Any other client (Cursor, Claude Desktop, and others that take mcpServers JSON):

"mcpServers": { "semantic-cache": { "command": "uvx", "args": ["semantic-cache-mcp"] } } }

Configs for VS Code, Codex and OpenCode, and how to turn off the built-in file tools so the agent uses the cache: [docs/clients.md](docs/clients.md).

How it works

Every file the server sends comes with a content_hash. The agent passes it back as known_hash on the next read:

flowchart LR

R["read(path, known_hash)"] --> M{"hash matches the file now?"} M -- yes --> U["unchanged ~40 tokens"] M -- "no, older version" --> D["diff of changed lines"] M -- "no hash" --> F["full file + content_hash"]

No stale content. Every read checks the file on disk first. unchanged only answers when the hash matches the current bytes.
Forgetting is safe. After a compaction, the agent reads without the hash and gets the full file back.
Large files become maps. A file over max_size returns an outline of its definitions, not a blind cut.
Everything stays local. The cache is a SQLite file. One background daemon serves every client on your machine.

Tools

read · batch_read · read_image · write · edit · batch_edit · edit_preview · delete · warm · grep · search · glob · stats · clear

Parameters and examples: [docs/tools.md](docs/tools.md).

FAQ

Is the search "semantic" in the embeddings sense? No. search is BM25 keyword ranking and grep is exact. No model to download, no GPU, no API key.

Does it send my code anywhere? No. The only network request is a one-time download of the o200k tokenizer file, checked against a SHA-256 hash.

Does it work on Windows? Yes. CI runs on Linux and macOS.

Documentation

Guide	Covers
Clients	Setup for each client, turning off built-in file tools
Tools	Every tool, with parameters and examples
Environment Variables	Every setting, with defaults
Performance	Benchmarks and methodology
Architecture	Storage, algorithms, the shared daemon
Security	Threat model, size limits, path handling
Troubleshooting	Common issues, debug logging
Advanced Usage	Python API

Contributing

git clone https://github.com/CoderDayton/semantic-cache-mcp.git

cd semantic-cache-mcp uv sync --extra dev uv run pytest

See CONTRIBUTING.md. Issues and pull requests are welcome.

License

MIT.

Semantic Cache MCP

Overview

What you can do with it

Install

Install Python (uv)

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Python (uv)

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Python (uv)

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

Try it

Install Python (uv)

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Developer toolsi

Common questions

Alternatives

REA

Netdata

Front-End Checklist

README from the maker

Quick start

How it works

Tools

FAQ

Documentation

Contributing

License