From 029d8365799479f995cac11b74ddf593e10a3410 Mon Sep 17 00:00:00 2001 From: Nicolas Martalog Date: Thu, 23 Jul 2026 03:10:11 -0400 Subject: [PATCH] Add docweave/mcp to Developer Tools Generate + read PDFs for AI agents via generate_pdf and read_pdf tools. Rebased onto latest main to resolve conflicts; added Glama score badge. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 59f60c56b..0c63e3912 100644 --- a/README.md +++ b/README.md @@ -1030,6 +1030,7 @@ Data Platforms for data integration, transformation and pipeline orchestration. - [Vivekpatil200320/CyberRescue](https://github.com/Vivekpatil200320/cyberrescue) [![cyberrescue MCP server](https://glama.ai/mcp/servers/Vivekpatil200320/cyberrescue/badges/score.svg)](https://glama.ai/mcp/servers/Vivekpatil200320/cyberrescue) 🐍 🏠 - Secure host-level telemetry gateway enabling sandboxed AI agents to dynamically fetch container logs and track kernel resource metrics. - [davidmosiah/delx-mcp-server](https://github.com/davidmosiah/delx-mcp-server) [![Delx MCP Server](https://glama.ai/mcp/servers/davidmosiah/delx-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/davidmosiah/delx-mcp-server) 📇 🏠 ☁️ 🍎 🪟 🐧 - Native stdio bridge for the hosted Delx Protocol MCP endpoint, with one-command client install, doctor checks and live tool discovery. - [DeusData/codebase-memory-mcp](https://github.com/DeusData/codebase-memory-mcp) [![DeusData/codebase-memory-mcp MCP server](https://glama.ai/mcp/servers/DeusData/codebase-memory-mcp/badges/score.svg)](https://glama.ai/mcp/servers/DeusData/codebase-memory-mcp) 🌊 🏠 🍎 🪟 🐧 - Code-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, ~99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. `npx codebase-memory-mcp` +- [docweave/mcp](https://github.com/NicolasMartalog/docweave-mcp) [![docweave/mcp MCP server](https://glama.ai/mcp/servers/NicolasMartalog/docweave-mcp/badges/score.svg)](https://glama.ai/mcp/servers/NicolasMartalog/docweave-mcp) 📇 🏠 ☁️ - Generate and read PDFs for AI agents: a `generate_pdf` tool (HTML, a URL, or a template + JSON → PDF) and a `read_pdf` tool (a PDF → text/markdown). Run locally with `npx @docweave/mcp` or use the hosted streamable-HTTP endpoint. Chromium-rendered, priced per document. - [emailens/mcp](https://github.com/emailens/mcp) [![emailens/mcp MCP server](https://glama.ai/mcp/servers/emailens/mcp/badges/score.svg)](https://glama.ai/mcp/servers/emailens/mcp) 🎖️ 📇 ☁️ - Official MCP server for Emailens, the rendering linter for email. Lint HTML email for rendering issues across 15 clients (Gmail, Outlook, Apple Mail and more), score CSS compatibility 0-100 per client, simulate dark mode, and get framework-native fix snippets for React Email, MJML, and Maizzle. `npx -y @emailens/mcp` - [forgemeshlabs/aso-audit-mcp](https://github.com/forgemeshlabs/aso-audit-mcp) [![forgemeshlabs/aso-audit-mcp MCP server](https://glama.ai/mcp/servers/forgemeshlabs/aso-audit-mcp/badges/score.svg)](https://glama.ai/mcp/servers/forgemeshlabs/aso-audit-mcp) 📇 🏠 ☁️ 🍎 🪟 🐧 - Free Agent Signal Optimization scanner for website/API agent readiness. Scores discovery, identity, trust, commerce, reputation, and memory signals; validates robots.txt AI bot rules, llms.txt, agent.json, Google A2A agent cards, MCP server cards, API catalogs, OAuth metadata, x402, pricing, security.txt, status endpoints, and cross-file identity consistency. Returns ASO maturity levels, evidence, and prioritized fix plans. Local stdio or Glama-hosted, no API key required. `npx -y @forgemeshlabs/aso-audit-mcp`. - [KyaniteLabs/checkyourself](https://github.com/KyaniteLabs/checkyourself) [![KyaniteLabs/checkyourself MCP server](https://glama.ai/mcp/servers/KyaniteLabs/checkyourself/badges/score.svg)](https://glama.ai/mcp/servers/KyaniteLabs/checkyourself) 🐍 🏠 - Local-first production-readiness audit for AI-built apps: read-only checks, an evidence-based 0-100 score, and guided fixes before launch.