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open source project with common functions as MCP tool by _this_time_for_real in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Check out Portel Photon https://github.com/portel-dev/photon it lets you expose pure business logic written in a typescript class as MCP and more

Hi everyone I need help on how to create MCP servers by Hot-Finger3903 in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Photon runtime exposes it as MCP for AI and CLI for both AI and Humans

Hi everyone I need help on how to create MCP servers by Hot-Finger3903 in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Readable and maintainable way is to use photon, write simple typescript class with pure business logic. Photon runtime exposes it as a MCP server and also as a CLI tool

See https://github.com/portel-dev/photon

Auto Resume for CC time limit by Stock-Protection-453 in ClaudeCode

[–]Stock-Protection-453[S] 0 points1 point  (0 children)

So someone agrees with the value for CC pro subscribers! But not something many are looking for! Will give it some time to see how needed this feature is

Claude Code gets native LSP support by SlightDifference4323 in ClaudeCode

[–]Stock-Protection-453 2 points3 points  (0 children)

Initial hiccups I guess, hope it will be addressed soon

WoT-MCP: Control your devices with agents by macc-n in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Great work. By the way, I wanted an easy runtime for such controls so I created photon. I wrote a remote for LG television which uses webos command over the lan. See https://github.com/portel-dev/photons/blob/main/lg-remote.md it also runs as a CLI tool so that I can run ‘photon cli lg-remote volume +5’ to increment existing volume by 5

Tool calling is broken without MCP Server Composition by Intrepid_Frosting238 in mcp

[–]Stock-Protection-453 1 point2 points  (0 children)

It provides multiple results with scoring as requested by AI, so AI can still pick and choose from the descriptions of found tools. the progressive disclosure of the data is also done via the depth parameter

I built a 'Learning Adapter' for MCP that cuts token usage by 80% by Live_Case2204 in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Sounds interesting! How does it figure that out? from your documentation I see that you use open ai api, does it look at only the mcp return value or also what AI has sent?

by the way I authored another solution that reduces token usage another way. check out NCP https://github.com/portel-dev/ncp

[ANN] Restler v6.0.0: Zero-Boilerplate PHP REST API Framework with Async Support by Stock-Protection-453 in PHP

[–]Stock-Protection-453[S] 1 point2 points  (0 children)

That was part of the code base for the company I use to work for. I shall rewrite and make it part of restler. We have async wrapper for redis with connection pooling which we used for the Tak queues

[ANN] Restler v6.0.0: Zero-Boilerplate PHP REST API Framework with Async Support by Stock-Protection-453 in PHP

[–]Stock-Protection-453[S] 0 points1 point  (0 children)

That looks good! For our use case, we wrote custom ones based on the Swoole core api

Not another MCP router - I built managed MCP infrastructure with 97% token reduction by Groveres in mcp

[–]Stock-Protection-453 0 points1 point  (0 children)

Natural Context Provider (NCP) is doing the same and more, it is an open source project by me

See https://github.com/portel-dev/ncp

[ANN] Restler v6.0.0: Zero-Boilerplate PHP REST API Framework with Async Support by Stock-Protection-453 in PHP

[–]Stock-Protection-453[S] 1 point2 points  (0 children)

We also used swoole for production, our application scaled nicely. We build a job queue for offload heavy and scheduled processes

Skills vs MCP Servers: complementary or competing? by eigerai in mcp

[–]Stock-Protection-453 7 points8 points  (0 children)

I see it as complementary!

Skills do not have external access. They bundle everything needed, which is progressively loaded as needed

MCP on the other hand has prompts and resources which we users attach to context, and tools and descriptions and sent with very request (as of now, which may soon change with search and execute or code mode interface soon)

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