REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Runs on your computer
Semantic Cache MCP
What it does
File cache for coding agents: re-reads cost ~40 tokens, changed files return diffs.
- Connects Runs on your computer
- Account or key No key needed
- Category Developer tools
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
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 Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "semantic-cache": { "command": "uvx", "args": [ "semantic-cache-mcp" ] } } }Quit Claude and open it again
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
- 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) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
- 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
- Compiler Explorer✓ ChatGPT
- GitDiagram✓ 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 Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user semantic-cache -- uvx semantic-cache-mcpType /mcp in Claude Code
You should see Semantic Cache MCP listed as connected
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 AI chat in Cursor in Agent mode
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 AI chat in VS Code in Agent mode
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.
JSON settings are under “For developers” below
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user semantic-cache -- uvx semantic-cache-mcpClaude 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
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
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
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 14, 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 22 days ago
- ✓ Pass
Has a licence
Uses MIT
- – 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 5868 servers in this category
- Published to the registry more recently than 57% of the other 5868 servers in this category
- Basic checks equal to or better than 100% of the other 5868 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 3 of 3 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 22 days ago, and the latest version (0.7.0) reached the registry 22 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, GitHub, Serena MCP: the IDE for your agent
Others in the same category
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
Serena MCP: the IDE for your agent
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
Runs on your computer
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-mcpAny 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 LRR["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.
unchangedonly 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_sizereturns 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.gitcd semantic-cache-mcp uv sync --extra dev uv run pytest
See CONTRIBUTING.md. Issues and pull requests are welcome.
License
MIT.