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by mlennie · MCP Server · ★ 64
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hermes-mcp An MCP server that lets Claude Desktop, Claude.ai (web + mobile), OpenAI Codex desktop, Cursor, and any other MCP client (via OAuth 2.1 or static bearer token) delegate tasks to a local Hermes Agent running on your own hardware. (See Client compatibility for the current matrix.) Use Claude (or another supported MCP client) as your daily chat. When you ask for something Hermes is built for — scheduling cron jobs, browser automation, email, document creation, persistent skills, WhatsApp/Slack messaging — your client calls Hermes through this bridge. ┌──────────────────────────────────────────────────────┐ │ MCP client │ │ (Claude Desktop / Claude.ai / Codex CLI / Cursor /…) │ └────────────────────────┬─────────────────────────────┘ │ HTTPS + OAuth 2.1 ▼ ┌──────────────────────┐ │ cloudflared tunnel │ (public HTTPS edge) └──────────┬───────────┘ │ ▼ localhost:8765 ┌──────────────────────┐ │ hermes-mcp │ (FastMCP, Streamable HTTP) │ - OAuth 2.1 + PKCE │ │ - HTTP - gateway │ └──────────┬───────────┘ │ HTTP /v1/chat/completions
| Stars | 64 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.6421908497872/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-29 |
| Created | 2026-05-09 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~15k |
These tools work well together with hermes-mcp for enhanced workflows:
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hermes-mcp is MCP server that lets any llm (i.e. Claude Desktop) delegate tasks to a local Hermes Agent — cron jobs, web search, email, documents, and more.. It is categorized as a MCP Server with 64 GitHub stars.
hermes-mcp is primarily written in Python.
You can find installation instructions and usage details in the hermes-mcp GitHub repository at github.com/mlennie/hermes-mcp. The project has 64 stars and 18 forks, indicating an active community.
hermes-mcp is released under the Apache-2.0 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: