No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by thirdstrandstudio · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-tool-chainer safe to install? View the security audit →
MCP Tool Chainer An MCP (Model Context Protocol) server that chains calls to other MCP tools, reducing token usage by allowing sequential tool execution with result passing. Designed to solve https://github.com/modelcontextprotocol/specification/issues/215 Step function like JSON paths: Features Chain multiple MCP tools together in sequence Pass results from one tool as input to another tool using placeholder Filter and extract specific data using JsonPath with and parameters Automatic tool discovery from configured MCP servers Minimal token usage compared to individual tool calls Tools This server implements the following MCP tools: - Chain together multiple MCP servers - Discover tools from all MCP servers so the mcpchain tool can be used - Rediscover tools from all MCP servers Installation Prerequisites Node.js (v16 or later) npm Installing from npm bash Install npm install @thirdstrandstudio/mcp-tool-chainer Or use with npx directly npx -y
| Stars | 58 |
| Forks | 11 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7572595891757/100 |
| Open Issues | 3 |
| Last Updated | 2025-08-04 |
| Created | 2025-03-21 |
| Platforms | mcp, node |
| Est. Tokens | ~28k |
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mcp-tool-chainer is an open-source mcp server by thirdstrandstudio with 58 GitHub stars.
mcp-tool-chainer is primarily written in JavaScript.
You can find installation instructions and usage details in the mcp-tool-chainer GitHub repository at github.com/thirdstrandstudio/mcp-tool-chainer. The project has 58 stars and 11 forks, indicating an active community.
mcp-tool-chainer is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: