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Semantic Cache MCP server

by CoderDayton·io.github.CoderDayton/semantic-cache-mcp·v0.7.0·3 stars
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File cache for coding agents: re-reads cost ~40 tokens, changed files return diffs.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

3 stars206 downloads/wk

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

Semantic Cache MCP tools (15, 2 write)

write = sends, deletes, buys or posts

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

  • batch_edit

    Apply many exact edits to one file in a single atomic call.

  • batch_read

    Read several files at once under a shared token budget.

  • clear

    Empty the cache. Does not touch any project file.

  • deletewrite action

    Delete one file or symlink and evict its cache entries.

  • edit

    Edit one file by exact text replacement.

  • edit_preview

    Show where `old_string` would match in a file, without editing it.

  • glob

    List files matching a glob and show which are already cached.

  • grep

    Search cached file contents for an exact string or regex.

  • main
  • read

    Read a file, returning as few tokens as possible. For 2+ files, use `batch_read`.

  • read_image

    Read an image file so the model can see it.

  • search

    Find cached files by keyword relevance (BM25 ranking).

  • stats

    Report cache health, token savings, and runtime diagnostics.

  • warm

    Index files into the cache so `grep` and `search` can see them, returning counts only.

  • writewrite action

    Create a file or replace its entire contents.

Public scan report

scanner v0.1.10 · 2026-10-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan52 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 owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Semantic Cache MCP compares

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

Safety score
92/100
higher than 95% of 48,255 servers
Tools
15
the typical server has 7
Tools that change things
13%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
3
more than 80% of 28,688 servers
Downloads a week
206
more than 76% of 12,191 servers with a package

What its tools let an agent do: 11 read · 1 create · 2 change · 1 delete

Install Semantic Cache MCP in Claude Code, Cursor or VS Code

claude mcp add semantic-cache-mcp -- uvx semantic-cache-mcp
Add to Cursor

What the publisher says

From the Semantic Cache MCP repository's README, as published. We do not edit it. Read it on GitHub

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.

 

<!-- mcp-name: io.github.CoderDayton/semantic-cache-mcp -->

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:

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.

How it works

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

flowchart LR
    R["read(path, known_hash)"] --> M{"hash matches<br/>the file now?"}
    M -- yes --> U["unchanged<br/>~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 · batchread · readimage · write · edit · batchedit · editpreview · delete · warm · grep · search · glob · stats · clear

Shortened. The full README is on GitHub.

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

Semantic Cache MCP: common questions

Is Semantic Cache MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Semantic Cache MCP safety report
How do I install Semantic Cache MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Semantic Cache MCP need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Semantic Cache MCP maintained?
The last commit was 12 days ago (2026-10-23). The latest release is v0.7.0.
What can I use instead of Semantic Cache MCP?
Servers from other publishers that do the same job: Sem MCP server and Token Optimizer MCP server.
How does Semantic Cache MCP compare with other MCP servers?
safety score 92/100 (higher than 95% of 48,255 servers); tools 15 (the typical server has 7); tools that change things 13% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Semantic Cache MCP

Same job from other publishers: the closest match first, then the best rated.

  • Sem
    Entity-level code intelligence: semantic diff, impact analysis, blame, and context for AI agents
    B
  • Token Optimizer
    Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
    C