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Add workspace-metabolism MCP server (policy layer for multi-agent workspaces)

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@@ -1505,6 +1505,7 @@ Tools and integrations that enhance the development workflow and environment man
- [imqueue/mcp](https://github.com/imqueue/mcp) [![imqueue/mcp MCP server](https://glama.ai/mcp/servers/imqueue/mcp/badges/score.svg)](https://glama.ai/mcp/servers/imqueue/mcp) 📇 🏠 - Search @imqueue docs and scaffold typed services & clients for AI coding agents, access CLI and manage your service fleet. - [imqueue/mcp](https://github.com/imqueue/mcp) [![imqueue/mcp MCP server](https://glama.ai/mcp/servers/imqueue/mcp/badges/score.svg)](https://glama.ai/mcp/servers/imqueue/mcp) 📇 🏠 - Search @imqueue docs and scaffold typed services & clients for AI coding agents, access CLI and manage your service fleet.
- [WCAG-Compliance/wcagc-mcp](https://github.com/WCAG-Compliance/wcagc-mcp) [![WCAG-Compliance/wcagc-mcp MCP server](https://glama.ai/mcp/servers/WCAG-Compliance/wcagc-mcp/badges/score.svg)](https://glama.ai/mcp/servers/WCAG-Compliance/wcagc-mcp) 🎖️ 📇 ☁️ 🏠 - Deterministic axe-core accessibility scanning (WCAG 2.1 AA, EN 301 549, PDF/UA) through a [wcagc](https://wcagc.com) account: scan any public URL or PDF, crawl a whole registered site, replay saved multi-step journeys, and read violation trends. Returns structured findings — rule, severity counts and the success criteria involved — so the assistant reasons over real results rather than guessing from markup. Every scan result carries an automated-coverage disclaimer instead of a score or a pass/fail verdict. Hosted at `https://mcp.wcagc.com/mcp`, or run it locally with `npx -y @wcagc/mcp`. - [WCAG-Compliance/wcagc-mcp](https://github.com/WCAG-Compliance/wcagc-mcp) [![WCAG-Compliance/wcagc-mcp MCP server](https://glama.ai/mcp/servers/WCAG-Compliance/wcagc-mcp/badges/score.svg)](https://glama.ai/mcp/servers/WCAG-Compliance/wcagc-mcp) 🎖️ 📇 ☁️ 🏠 - Deterministic axe-core accessibility scanning (WCAG 2.1 AA, EN 301 549, PDF/UA) through a [wcagc](https://wcagc.com) account: scan any public URL or PDF, crawl a whole registered site, replay saved multi-step journeys, and read violation trends. Returns structured findings — rule, severity counts and the success criteria involved — so the assistant reasons over real results rather than guessing from markup. Every scan result carries an automated-coverage disclaimer instead of a score or a pass/fail verdict. Hosted at `https://mcp.wcagc.com/mcp`, or run it locally with `npx -y @wcagc/mcp`.
- [srbsa/diffgate](https://github.com/srbsa/diffgate) [![srbsa/diffgate MCP server](https://glama.ai/mcp/servers/srbsa/diffgate/badges/score.svg)](https://glama.ai/mcp/servers/srbsa/diffgate) 📇 🏠 🍎 🪟 🐧 - Deterministic guardrail for AI-written diffs, runnable from inside the coding agent's own loop over MCP. Zero-LLM-token, AST-precise rules (SQLi, SSRF, XXE, permissive CORS, prototype pollution, hardcoded secrets) across 8 languages, plus structural checks for reinvented helpers and over-abstraction — findings scoped to only the changed lines, same input always gives the same output, no false-block guarantee. `npm i -g diffgate-review` (registers as the `diffgate` command; `diffgate mcp` starts the server) - [srbsa/diffgate](https://github.com/srbsa/diffgate) [![srbsa/diffgate MCP server](https://glama.ai/mcp/servers/srbsa/diffgate/badges/score.svg)](https://glama.ai/mcp/servers/srbsa/diffgate) 📇 🏠 🍎 🪟 🐧 - Deterministic guardrail for AI-written diffs, runnable from inside the coding agent's own loop over MCP. Zero-LLM-token, AST-precise rules (SQLi, SSRF, XXE, permissive CORS, prototype pollution, hardcoded secrets) across 8 languages, plus structural checks for reinvented helpers and over-abstraction — findings scoped to only the changed lines, same input always gives the same output, no false-block guarantee. `npm i -g diffgate-review` (registers as the `diffgate` command; `diffgate mcp` starts the server)
- [metabolism-tools/workspace-metabolism](https://github.com/metabolism-tools/workspace-metabolism) [![metabolism-tools/workspace-metabolism MCP server](https://glama.ai/mcp/servers/metabolism-tools/workspace-metabolism/badges/score.svg)](https://glama.ai/mcp/servers/metabolism-tools/workspace-metabolism) 🐍 🏠 🍎 🪟 🐧 - Policy layer for multi-agent workspaces: one JSON policy file decides what each path is worth; agents can audit, explain and dry-run clean plans themselves, nothing is ever deleted by pattern, and every action lands in a hash-chained journal. Zero dependencies; `pip install workspace-metabolism` then `wm mcp`.
### 🔒 <a name="delivery"></a>Delivery ### 🔒 <a name="delivery"></a>Delivery
- [jordandalton/doordash-mcp-server](https://github.com/JordanDalton/DoorDash-MCP-Server) 🐍 – DoorDash Delivery (Unofficial) - [jordandalton/doordash-mcp-server](https://github.com/JordanDalton/DoorDash-MCP-Server) 🐍 – DoorDash Delivery (Unofficial)