ZBS Index What actually exists in applied AI, with the source next to it

mcp server

mcp-fish

MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)

Description as published by the maintainer. Source

  • version 2026.8.1.0
  • active
  • voice

active — Most recent push to the repository was 2026-08-02. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us.

Endpoint status observed on . Source: https://fish.mcp.acedata.cloud/mcp.

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 GitHub
Last commit 2026-08-02 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 GitHub
Open issues 7 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 GitHub
Latest published version 2026.8.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-01 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-08-01 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time 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 GitHub
mcp endpoint status auth_required The server requires authentication before it will list its tools (HTTP 401). We do not hold an account for it, so its functions are unknown to us. as of probe fish.mcp.acedata.cloud

Where to get it

Related, by what their authors tagged them

  • Speko AI — last commit 2026-08-05, shares text-to-speech, tts
    Manage Speko voice-AI agents, sessions, calls, phone numbers, knowledge bases, evals, and docs.
  • com.brainiall/tts — last commit 2026-08-03, shares text-to-speech, tts
    Hosted pay-per-use TTS: 54 neural voices, 9 languages incl. Brazilian Portuguese. $10 free credits.
  • Voice Bridge — last commit 2026-04-29, shares text-to-speech, tts
    Multi-engine TTS for AI coding assistants. 5 engines, free engine included.
  • Text to Speech — last commit 2026-08-02, shares text-to-speech, tts
    Reads text aloud locally on Windows, macOS, and Linux. No API key, account, or cloud service.
  • io.github.AceDataCloud/mcp-acedatacloud — last commit 2026-07-30, shares acedata-cloud
    Manage your AceData Cloud account: services, pricing, APIs, docs, balance, usage, keys & orders
  • io.github.AceDataCloud/mcp-aichat — last commit 2026-08-04, shares acedata-cloud
    MCP server for AI dialogue using various LLM models via AceDataCloud
  • io.github.AceDataCloud/mcp-face-transform — last commit 2026-08-02, shares acedata-cloud
    AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness
  • io.github.AceDataCloud/mcp-glm — last commit 2026-07-30, shares acedata-cloud
    MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
  • io.github.AceDataCloud/mcp-grok — last commit 2026-08-02, shares acedata-cloud
    MCP server for Grok Imagine AI video generation
  • io.github.AceDataCloud/mcp-maestro — last commit 2026-07-31, shares acedata-cloud
    Produce complete AI videos from a brief with Maestro

These share tags the maintainers applied themselves, such as text-to-speech, tts, acedata-cloud. 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

How the author describes it

Topics the maintainer set on GitHub: acedata-cloud, developer-tools, mcp, mcp-server, model-context-protocol, text-to-speech, tts, voice-cloning.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. AceDataCloud/FishMCP on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://fish.mcp.acedata.cloud/mcp — fish.mcp.acedata.cloud, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.