Is the GrokSearch-rs MCP server actively maintained?

The GrokSearch-rs MCP server was last committed 2mo ago and has 5 contributors. Issue health: 39% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

GrokSearch-rs MCP Server

Name: Episkey-G/GrokSearch-rs
Rating: 3.5 (1 reviews)
Author: Episkey-G

Episkey-G/GrokSearch-rs

Score: 62.5 Rank #5634 MCP Server

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Rust MCP server for Grok web search and Tavily-backed source retrieval

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Overview

Episkey-G/GrokSearch-rs is a Rust MCP server licensed under MIT. Rust MCP server for Grok web search and Tavily-backed source retrieval

Ranked #5634 out of 24846 indexed tools.

Ecosystem

Rust MIT

Score Breakdown

Stars 15% 458

458 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 39%

7/18 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 N/A

Forks 50

Description Good

License MIT

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

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Description low impact

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Freshness high impact

Last commit was 63 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 11 open vs 7 closed issues — triaging stale issues improves health

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Details

Stars: 458
Forks: 50
Open Issues: 11
Closed Issues: 7
Contributors: 5
Dependents: —
Language: Rust
License: MIT
Last Commit: 2mo ago

Matched Queries

"mcp server""mcp-server"

From the README

# GrokSearch-rs

**A lightweight Rust MCP server for Grok / OpenAI‑compatible web search, backed by an ordered source chain — Tavily, Exa, TinyFish, Firecrawl — for supplemental sources, fetch, and map.**

`grok-search-rs` is an **MCP server** — run it locally over **stdio** (your client launches it; you do not run it directly) or as a **remote Streamable HTTP** service for mobile / multi‑device access (see [self-hosting](#self-hosting-remote-http)). It exposes one set of tools (`web_search`, `get_sources`, `web_fetch`, `web_map`, `doctor`) and supports two upstream transports so you can plug into either xAI's official API or any OpenAI‑compatible relay.

---

## Features

- 🔎 **Live web search** with cited sources, cached for follow‑up `get_sources` calls. Opt‑in `include_content` enriches the top sources with full extracted text in one call.
- 📏 **Response budgeting** — `web_search` keeps responses inside agent context limits: only the top `max_inline_sources` carry inline text, a

Read full README on GitHub →