MCP.Market

rag-rat MCP server

by cq27-dev·io.github.cq27-dev/rag-rat·v0.24.1·22 stars
No reviews yet

Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.

B75/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B75/100

not scanned yet

Adoption
Growing

22 stars127 downloads/wk

Reviews

Write one

Nobody has reviewed rag-rat yet.

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

rag-rat tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How rag-rat compares

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

Safety score
75/100
higher than 45% of 4,460 AI and agents servers
GitHub stars
22
more than 90% of 2,711 AI and agents servers
Downloads a week
127
more than 68% of 1,538 AI and agents servers with a package

Release history: 2 versions in the registry since 2026-09-13, latest 2026-10-15, typically one every 32 days.

Install rag-rat in Claude Code, Cursor or VS Code

Runs npx -y @rag-rat/bin on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add rag-rat -- npx -y @rag-rat/bin
Add to Cursor

What the publisher says

From the rag-rat repository's README, as published. We do not edit it. Read it on GitHub

rag-rat

What a repository knows about itself. rag-rat is a local repo-intelligence index and MCP server for coding agents. It keeps source files read-only, writes only its own SQLite database, and answers with provenance on every result — current source, the code graph, git/GitHub history, and durable, source-anchored repo memories that persist across sessions and agents.

Explore the live VS Code Lens demo — no installation required. It surfaces clone classes, repo memories, and issue/decision context alongside the code; press Ctrl+Alt+R to reveal clone overlays.

Every coding harness already has grep and file reads. rag-rat adds the layer they do not provide: source-anchored rationale. It connects the code an agent is about to touch to its callers, callees, tests, git/GitHub history, prior decisions, invariants, risks, and duplicate-code signals — and labels every result with confidence and coverage, so an agent can judge it instead of trusting it.

sequenceDiagram
    participant Repo as Repository
    participant Engine as rag-rat engine
    participant Agent as Coding agent

    Repo->>Engine: Source · git/GitHub · repo memories
    Engine->>Engine: Index → graph → (opt) SCIP oracle → reconcile
    Agent->>Engine: where / why / who-calls / impact?
    Engine-->>Agent: source + call paths + papertrail + memories (with provenance)
    Agent->>Engine: record a finding
    Engine->>Repo: persist a source-anchored repo memory

Why

Shortened. The full README is on GitHub.

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

rag-rat: common questions

Is rag-rat MCP server safe?
Mostly: it is graded B (75/100). Read the rag-rat safety report
How do I install rag-rat?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does rag-rat need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is rag-rat maintained?
The last commit was 33 days ago (2026-10-02). The latest release is v0.24.1.
What can I use instead of rag-rat?
Servers from other publishers that do the same job: Total Agent Memory MCP server, MCP AutoMem MCP server and Serena MCP: the IDE for your agent MCP server.
How does rag-rat compare with other AI and agents MCP servers?
safety score 75/100 (higher than 45% of 4,460 AI and agents servers); github stars 22 (more than 90% of 2,711 AI and agents servers); downloads a week 127 (more than 68% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to rag-rat

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

  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A
  • MCP AutoMem
    Graph-vector memory for AI assistants using FalkorDB and Qdrant
    C
  • Serena MCP: the IDE for your agent
    A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
    C
  • Figma Context
    Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
    B
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B