* Monday.com official MCP
* Move Monday.com official MCP to official integrations section
As suggested in the review comments, moved the official Monday.com MCP
server from the community section to the official integrations section
where it belongs, maintaining alphabetical order.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Adam Jones <adamj@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
- in create-release job condition
- check for all combinations of publish results that should lead to a release creation
- npm = success / pypi = skipped
- npm = skipped / pypi = success
- npm = success / pypi = success
- in create-release job condition
- check for all combinations of publish results that should lead to a release creation
- npm = success / pypi = skipped
- npm = skipped / pypi = success
- npm = success / pypi = success
- in create-release job condition
- check for all combinations of publish results that should lead to a release creation
- npm = success / pypi = skipped
- npm = skipped / pypi = success
- npm = success / pypi = success
Add OpenZIM MCP server to the community servers list. OpenZIM MCP is a
modern, secure, and high-performance MCP server that enables AI models
to access and search ZIM format knowledge bases offline, supporting
Wikipedia and other educational content archives.
Updated Backdocket entry with new URL and removed redundant text. We now have the links to the backdocket website, the backdocket mcp server, and the backdocket mcp about page.
* Update Azure MCP link in README.md
Azure MCP Server moved from /azure/azure-mcp to /microsoft/mcp on 2025-08-25.
The old /azure/azure-mcp repo has been archived as all new development continues in the new /microsoft/mcp monorepo.
* Update path to Azure MCP src
* Add Fal MCP Server to official directory
Fal MCP Server enables AI image, video, and music generation directly in Claude using Fal.ai models including FLUX, Stable Diffusion, and MusicGen.
- Published on PyPI: https://pypi.org/project/fal-mcp-server/
- Docker image available on GitHub Container Registry
- Comprehensive documentation: https://raveenb.github.io/fal-mcp-server/
- Native async API for optimal performance
* Move Fal MCP Server to Community servers section
This is not an official Fal.ai server but rather a third-party
implementation created for personal use.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Adam Jones <adamj@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
- bump TS SDK to 1.18.0
* In src/everything/stdio.ts
- remove logging related imports
- remove custom log-level handling, now handled automatically by the SDK
* In src/everything/everything.ts
- remove console.log of sessionId
- Expand description to include full range of Gcore platform services
- Add CDN, GPU Cloud & AI Inference, Video Streaming, WAAP services
- Change from "Cloud API" to "platform services" for accuracy
- Maintain unified access approach and cloud resources mention
- Added Gcore MCP server entry in alphabetical order
- Provides unified configuration for Gcore Cloud API interactions
- Supports cloud resource management including instances, networks, and GPU clusters
- Updated name from "HyperExecute MCP Server" to "LambdaTest MCP Server" as part of unification.
- Adjusted row order in README to follow the repo’s name sequence convention.
- No functional/code changes, only documentation alignment
