RapidTextAI MCP Server
Give Claude, Cursor, or your own AI agent a direct tool for article generation. The RapidTextAI MCP Server exposes article writing, model discovery, and usage limits through the Model Context Protocol using JSON-RPC 2.0 over HTTP.
MCP server version 1.1.0. API access is available on paid plans. Last reviewed November 2026.
What the MCP Server Does
One endpoint that lets an agent create content with your RapidTextAI account, without building a separate integration for every model.
Generate articles
Create a complete article from a topic, keywords, tone, style, structure, length, language, and call to action. Results return as Markdown.
Run the agent pipeline
Use a five-step premium pipeline: draft, critique, revise, SEO optimize, and polish. Higher quality output, with a higher request cost.
Discover models and usage
List available models by provider and check the authenticated user's request limit, usage, and remaining requests before generating.
Endpoint and Authentication
Use your RapidTextAI API key. Bearer auth is preferred; the query parameter is a fallback for clients that cannot set headers.
| Setting | Value |
|---|---|
| MCP endpoint | https://app.rapidtextai.com/openai/v1/mcp-server |
| Protocol | JSON-RPC 2.0 over HTTP POST |
| Protocol version | 2024-11-05 |
| Authentication | Authorization: Bearer YOUR_API_KEY or ?gigsixkey=YOUR_API_KEY |
| Content type | application/json |
| Health check | Send a GET request to the endpoint to return server info, capabilities, tools, and auth details. |
Available Tools
The server implements tools/list and tools/call. All article tools accept the same input schema.
| Tool | What it does | Cost |
|---|---|---|
| generate_article | Single-pass SEO article generation. Returns a Markdown article with metadata. | 1 request unit for free users, 6 for subscribers, based on the article endpoint multiplier. |
| generate_article_agent | Draft, critique, revise, SEO optimize, and polish. Returns the final Markdown article and pipeline steps. | Uses four additional refinement calls on top of the article cost. |
| list_models | Lists models from the shared catalog, optionally filtered by provider: openai, gemini, deepseek, grok, claude, or glm. |
Standard API request. |
| get_user_limits | Returns requests used, request limit, remaining requests, and whether the user is a subscriber. | Standard API request. |
Article tool input
Only topic is required. The defaults keep the tool predictable for agents.
| Argument | Type | Default | Notes |
|---|---|---|---|
topic | string | required | The main topic or title. |
keywords | string | empty | Comma-separated SEO keywords. |
model | string | glm-4.6v-flash | Any model ID returned by list_models. |
length | string | 2000 | 500, 1000, 2000, 3000, or 5000. |
tone | string | formal | formal, casual, professional, friendly, or conversational. |
style | string | informative | informative, persuasive, narrative, descriptive, or analytical. |
structure | string | introduction-body-conclusion | Also supports listicle, how-to-guide, comparison, and problem-solution. |
cta | string | Subscribe Now | Call to action integrated into the article. |
language | string | English | Article language. |
How to Connect an MCP Client
Add the server to a remote MCP client, or bridge the HTTP endpoint to a client that only supports stdio.
1. Add the server configuration
Client configuration keys vary. This is the common JSON shape for a remote HTTP MCP server:
{
"mcpServers": {
"rapidtextai": {
"type": "http",
"url": "https://app.rapidtextai.com/openai/v1/mcp-server",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}If your client uses transport instead of type, or calls the field streamable-http, follow that client's documentation. The RapidTextAI server accepts plain HTTP POST JSON-RPC requests and returns JSON responses.
2. Initialize the session
MCP clients normally send this handshake automatically. The server responds with its protocol version, capabilities, and server info.
curl -X POST "https://app.rapidtextai.com/openai/v1/mcp-server" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "initialize",
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {},
"clientInfo": { "name": "my-agent", "version": "1.0.0" }
}
}'3. Discover tools
curl -X POST "https://app.rapidtextai.com/openai/v1/mcp-server" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'4. Generate an article
curl -X POST "https://app.rapidtextai.com/openai/v1/mcp-server" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "generate_article",
"arguments": {
"topic": "How to start a blog in 2026",
"keywords": "blogging, SEO, content marketing",
"model": "gpt-4o-mini",
"length": "2000",
"tone": "professional",
"language": "English"
}
}
}'The result is returned as MCP text content containing a JSON object with the Markdown article and metadata.
5. Use the premium agent pipeline
Change the tool name to generate_article_agent with the same arguments. The response includes the final article and the completed pipeline steps.
Resources and Prompts
The server advertises two resources and two prompt templates for clients that support them.
rapidtextai://modelslists available models.rapidtextai://limitsdescribes the authenticated user's usage limits.article-briefis a prompt template for topic and keyword briefs.seo-optimizeis a prompt template for optimizing existing content.
See the full API documentation for the underlying chat and article endpoints.
Usage and Limits
MCP calls count against the same API request allowance as the rest of RapidTextAI. The server checks the user's remaining requests before running an article tool, so an agent cannot start a job that will exceed the limit.
- Free accounts have a smaller request allowance.
- Subscriber article generation uses the article endpoint multiplier.
- Agent mode adds four refinement calls to the article cost.
- Unused requests do not roll over.
Compare plans to find the right allowance for your agent workload.
MCP Server FAQ
Common questions before connecting an agent.
MCP is an open protocol that lets AI applications call external tools and resources in a standard way. The RapidTextAI MCP Server exposes article generation, model discovery, and usage checks as MCP tools.
Any MCP client that supports remote HTTP JSON-RPC servers. If your client only supports stdio, use an HTTP-to-stdio bridge. Configuration key names vary by client, so check the client documentation.
The MCP endpoint returns a complete JSON-RPC response. Internally it streams from the RapidTextAI article endpoint and returns the accumulated article, so clients receive the finished result rather than live token updates.
API access is included in paid plans. MCP calls use the same API request allowance as the rest of your account. See the pricing page for current limits.
Use Bearer authentication and keep the key in your MCP client's local configuration or a server-side secret store. Do not commit it to a repository or expose it in client-side code. Rotate the key if it is exposed.
Keep Exploring
Related integrations and documentation.
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