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mcp-local-rag MCP Server

nkapila6/mcp-local-rag

Score: 49.2 ↓ 4.8% Rank #20691 Search & RAG
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"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

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Overview

nkapila6/mcp-local-rag is a Python MCP server licensed under MIT. "primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨ Topics: mcp, mcp-server, model-context-protocol, rag, web-seach.

Ranked #20691 out of 24846 indexed tools.

Ecosystem

Python MIT 19 pypi/wk
mcpmcp-servermodel-context-protocolragweb-seach

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 134

134 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 27%

4/15 issues closed → many open issues

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 19/wk

19 weekly installs → early adoption

Forks 21
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 58 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 11 open vs 4 closed issues — triaging stale issues improves health

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AgentRank score for nkapila6/mcp-local-rag
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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

# mcp-local-rag
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

A RAG-based web search and deep research model context protocol (MCP) server that runs entirely locally. Features multi-engine research across 9+ search backends with semantic similarity ranking, and requires no API keys.

- [Features](#features)
  - [Multi-Engine Deep Research](#multi-engine-deep-research)
- [Installation](#installation)
    - [Run Directly via `uvx`](#run-directly-via-uvx)
    - [Using Docker (recommended)](#using-docker-recommended)
- [Agent Skills](#agent-skills)
- [Security audits](#security-audits)
- [MCP Clients](#mcp-clients)
- [Examples on Claude Desktop](#examples-on-claude-desktop)
  - [Result](#result)
- [Contributing](#contributing)
- [License](#license)

```mermaid
%%{init: {'theme': 'base'}}%%
flowchart TD
    A[User] -->|1.Submits LLM Query| B[Language Model]
    B -->|2.Sends Query| C[mcp-local-rag Tool]
    
    subgraph mcp-local-rag Pr
Read full README on GitHub →

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