MCP.Market

Giggy Speech MCP server

online · 100% uptime
by GRQDigitalCapital·io.github.GRQDigitalCapital/giggy-mcp·v1.0.2

Giggy speech tools for AI agents: discover voices and generate text-to-speech.

B80/100grade B
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Giggy Speech MCP tools

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Public scan report

scanner v0.1.10 · 2026-10-13 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 708ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (bearer)9/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identitynamespace and repository owner differ4/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Giggy Speech MCP compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 60% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
334 ms
faster than 44% of 30,031 servers

Install Giggy Speech MCP in Claude Code, Cursor or VS Code

claude mcp add --transport http giggy-mcp https://giggy.ai/mcp
Add to Cursor

What the publisher says

From the Giggy Speech MCP repository's README, as published. We do not edit it. Read it on GitHub

Giggy MCP — text-to-speech for AI agents

Giggy MCP is a remote Streamable HTTP Model Context Protocol (MCP) server for using Giggy text-to-speech from coding agents and AI clients.

It provides Giggy speech tools to Codex, Claude Code, Cursor, VS Code, Cline, Windsurf-compatible clients, and other MCP clients.

MCP registry and plugin directories

Giggy's remote speech MCP endpoint is:

https://giggy.ai/mcp

This repository contains the publication artifacts for:

  • Official MCP Registry: server.json
  • OpenAI / Codex: openai-plugin/
  • Claude Code: .claude-plugin/plugin.json

See directory submission status and requirements.

A public registry listing, plugin submission, and approved plugin publication are separate steps. Consult the submission document for verified status.

Install for AI coding agents

Agent Skill — Codex and Claude Code

npx skills add giggy-ai/giggy-mcp --skill giggy-speech

The skill provides Giggy speech-generation instructions. An MCP connection is still required.

Claude Code plugin

claude plugin marketplace add giggy-ai/giggy-mcp
claude plugin install giggy-speech@giggy

Codex

Follow the existing Codex MCP setup below.

Example prompt

"Use Giggy to list available English voices, generate a short Batch speech sample saying 'Hello from Giggy', and return the completed audio URL."

Discover Giggy

  • Official MCP Registry
  • Speech API docs
  • Runnable examples
  • Directory submission status

Quick setup

Use Giggy MCP with Codex

Set GIGGYAPIKEY in your environment, then add to ~/.codex/config.toml:

[mcp_servers.giggy-speech]
url = "https://giggy.ai/mcp"
bearer_token_env_var = "GIGGY_API_KEY"

Use Giggy MCP with Claude Code

Set GIGGYAPIKEY, then configure:

{
  "mcpServers": {
    "giggy-speech": {
      "type": "http",
      "url": "https://giggy.ai/mcp",
      "headers": { "Authorization": "Bearer ${GIGGY_API_KEY}" }
    }
  }
}

Keep API keys out of configuration files committed to source control.

Remote MCP server

https://giggy.ai/mcp

Transport:

Streamable HTTP

The current Giggy MCP endpoint is stateless and accepts POST requests.

Authentication

Use a Giggy API key:

Authorization: Bearer $GIGGY_API_KEY

Giggy API keys begin with:

giggy_sk_

Keep the key in your MCP client's secret or environment configuration.

Do not:

  • put it in ordinary prompts
  • commit it to source control
  • embed it in browser JavaScript

Speech tools

This repository documents these Giggy speech tools:

list_voices
list_my_voices
generate_speech
get_speech_generation

The MCP server may expose other Giggy tools outside the speech scope of this repository.

Recommended speech workflow

  1. Call listvoices or listmy_voices.
  2. Select the exact returned voice_id.
  3. Call generate_speech.
  4. Supply a fresh idempotency_key for each new intended generation.
  5. Save generation.generation_uuid.
  6. Call getspeechgeneration while the status is queued or processing.
  7. When the status becomes completed, use generation.result.url.

Do not resubmit a new generation while polling an existing generation.

Use Giggy MCP with Codex

Set:

export GIGGY_API_KEY="giggy_sk_..."

Then add this to:

~/.codex/config.toml
[mcp_servers.giggy-speech]
url = "https://giggy.ai/mcp"
bearer_token_env_var = "GIGGY_API_KEY"

A ready-to-copy version is included at:

examples/codex-config.toml

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Giggy Speech MCP: common questions

Is Giggy Speech MCP server safe?
Mostly: it is graded B (80/100). Read the Giggy Speech MCP safety report
How do I install Giggy Speech MCP?
It runs remotely at giggy.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Giggy Speech MCP need an API key?
Yes. The registry entry asks for Authorization.
Is Giggy Speech MCP maintained?
The last commit was 23 days ago (2026-10-12). The latest release is v1.0.2.
Is Giggy Speech MCP up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Giggy Speech MCP compare with other MCP servers?
safety score 80/100 (higher than 60% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 334 ms (faster than 44% of 30,031 servers). Full comparison.