mcp-batchit: MCP aggregator for batching multiple tool calls into a single request

by ryanjoachim · MCP Server · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-batchit

git clone https://github.com/ryanjoachim/mcp-batchit.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-toolsautomationbatch-processingdeveloper-toolsllm-toolsmcpmodel-context-protocol

Quick Facts

Stars60
Forks6
LanguageJavaScript
CategoryMCP Server
Quality Score72/100
Open Issues3
Last Updated2026-04-18
Created2025-01-28
Platformsmcp, node
Est. Tokens~11k

About mcp-batchit

MCP BatchIt Batch multiple MCP tool calls into a single "batchexecute" request—reducing overhead and token usage for AI agents. Table of Contents Introduction Why Use BatchIt Key Features & Limitations Installation & Startup Multi-Phase Usage Implementation Phases Information Gathering LLM‐Only Step (List Code Definitions) Document Creation FAQ License Introduction ⚠️ NOTICE: Work in Progress...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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