Jasper AI MCP Prototype Server
Jasper AI MCP Prototype Server. The jasper mcp proto mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 3 defined tools rather than through you.
This repository contains a prototype Model Context Protocol (MCP) server for interacting with the Jasper AI API.
pnpm on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Everything the assistant can do here goes through one of these:
Description — Generate content via Jasper AI. Jasper is a premium generative marketing with the user's styleguide, brand voices and audiences. Jasper can be usedTools — 5. get-jasper-audiences: - Description: Return a list of the audiences belonging to the user. These audiences include a description to help theResources — 3. jasper://audiences (Registered as jasper-audiences): - Fetches available Jasper AI audiences. - Implementation: src/resources/getAudiences.tsYou will need 2 environment variables: JASPER_API_KEY, YOUR_JASPER_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Jasper MCP Proto's toolset — Description, Tools, Resources — is a fair guide to whether it matches your workflow. It is maintained by latecheckout; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Description | Generate content via Jasper AI. Jasper is a premium generative marketing with the user's styleguide, brand voices and audiences. Jasper can be used to apply styles or generate content for the user that matches their styl |
| Tools | 5. **get-jasper-audiences**: - Description: Return a list of the audiences belonging to the user. These audiences include a description to help the LLM and/or the user pick an appropriate audience, and an audienceId that |
| Resources | 3. **jasper://audiences** (Registered as jasper-audiences): - Fetches available Jasper AI audiences. - Implementation: src/resources/getAudiences.ts |
{
"mcpServers": {
"jasper-mcp-proto": {
"command": "npx",
"args": ["-y", "pnpm"],
"env": {
"JASPER_API_KEY": "your-value",
"YOUR_JASPER_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| JASPER_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_JASPER_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.