mcp server

io.github.AceDataCloud/mcp-aichat

MCP server for AI dialogue using various LLM models via AceDataCloud

Description as published by the maintainer. Source

version 2026.8.4.1
active

active — Most recent push to the repository was 2026-08-04.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal	Value	What it measures	Window	Observed	Source
GitHub stars	0	Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality.	cumulative, all time	2026-08-06	GitHub
Last commit	2026-08-04	Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained.	point in time	2026-08-06	GitHub
Open issues	0	Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one.	as of fetch	2026-08-06	GitHub
Latest published version	2026.8.4.1	Latest version string the maintainer published to the registry.	as of fetch	2026-08-04	Model Context Protocol
Registry record last updated	2026-08-04	When the registry record was last updated by its maintainer.	point in time	2026-08-04	Model Context Protocol
License	MIT	Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative.	as of fetch	2026-08-06	GitHub
First listed in the MCP Registry	2026-08-04	Date this server was first published to the official MCP Registry. Not a usage or quality measure.	point in time	2026-08-04	Model Context Protocol
repository status	active	The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on.	as of fetch	2026-08-06	GitHub

Where to get it

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These share tags the maintainers applied themselves, such as chatbot, openai-compatible. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from acedatacloud

io.github.AceDataCloud/mcp-acedatacloud — last commit 2026-07-30
Manage your AceData Cloud account: services, pricing, APIs, docs, balance, usage, keys & orders
io.github.AceDataCloud/mcp-face-transform — last commit 2026-08-02
AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness
io.github.AceDataCloud/mcp-fish — last commit 2026-08-02
MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)
io.github.AceDataCloud/mcp-flux-pro — last commit 2026-08-02
MCP server for Flux AI image generation
io.github.AceDataCloud/mcp-glm — last commit 2026-07-30
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
io.github.AceDataCloud/mcp-grok — last commit 2026-08-02
MCP server for Grok Imagine AI video generation
io.github.AceDataCloud/mcp-hailuo — last commit 2026-08-02
MCP server for Hailuo (MiniMax) AI video generation
io.github.AceDataCloud/mcp-kling — last commit 2026-08-02
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io.github.AceDataCloud/mcp-luma — last commit 2026-08-02
MCP server for Luma Dream Machine AI video generation
io.github.AceDataCloud/mcp-maestro — last commit 2026-07-31
Produce complete AI videos from a brief with Maestro

How the author describes it

Topics the maintainer set on GitHub: acedata-cloud, chatbot, developer-tools, llm, mcp, mcp-server, model-context-protocol, openai-compatible.

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