Optional integration for upgrading the search model from local embeddings to OpenAI's text-embedding models for improved search query processing
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Stackpress Context Provider how do I create a new component in Stackpress?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Experimental MCP server implementation to provide Stackpress context to AI utilities like cline.
The following sections describe several ways to install this MCP.
Make sure you are using Node version 22.
Run the following commands in the same folder your other MCP servers are.
$ mkdir stackpress-mcp
$ cd stackpress-mcp
$ npx --y @stackpress/mcp fetch --output ./data
$ npx --y @stackpress/mcp verify --output ./data
$ pwdCopy the response from pwd and edit your MCP server configuration by following one of the options below.
Add the following configuration to your claude_desktop_config.json where [pwd] is the response from the pwd command earlier.
{
"name": "github.com/stackpress/mcp",
"command": "npx",
"args": [
"-y",
"@stackpress/mcp",
"serve",
"--input",
"[pwd]/data"
]
}Add the following configuration to your cline_mcp_settings.json where [pwd] is the response from the pwd command earlier.
{
"mcpServers": {
"github.com/stackpress/mcp": {
"command": "npx",
"args": [
"-y",
"@stackpress/mcp",
"serve",
"--input",
"[pwd]/data"
]
}
}
}Run the following commands in the same folder your other MCP servers are.
$ git clone https://github.com/stackpress/mcp.git stackpress-mcp
$ cd stackpress-mcp
$ npm i
$ npm run build
$ npm run fetch --output ./data
$ npm run verify --output ./data
$ pwdCopy the response from pwd and edit your MCP server configuration by following one of the options below.
Add the following configuration to your claude_desktop_config.json.
{
"name": "github.com/stackpress/mcp",
"command": "node",
"args": [
"[pwd]/dist/scripts/serve.js",
"--input",
"[pwd]/data"
]
}Add the following configuration to your cline_mcp_settings.json.
{
"mcpServers": {
"github.com/stackpress/mcp": {
"command": "node",
"args": [
"[pwd]/dist/scripts/serve.js",
"--input",
"[pwd]/data"
]
}
}
}Copy and paste the following prompt.
Set up the MCP server from https://github.com/stackpress/mcp while adhering to these MCP server installation rules:
- Start by loading the MCP documentation.
- Use "github.com/stackpress/mcp" as the server name in cline_mcp_settings.json.
- Create the directory for the new MCP server before starting installation.
- Make sure you read the user's existing cline_mcp_settings.json file before editing it with this new mcp, to not overwrite any existing servers.
- Use commands aligned with the user's shell and operating system best practices.
- Once installed, demonstrate the server's capabilities by using one of its tools.
Here is the project's README to help you get started:Then paste in this README.
Related MCP server: Chris MCP
You can manually start the server like the following.
$ npm start --input [pwd]/dataOr you can run it manually like the following.
$ node [pwd]/dist/scripts/serve.js --input [pwd]/dataIf you installed via npx, you can start the server like the following.
$ npx @stackpress/mcp serve --input [pwd]/dataYou can manually fetch and verify the Stackpress context like the following.
$ npm run fetch --output [pwd]/data
$ npm run verify --output [pwd]/dataOr you can run it manually like the following.
$ node [pwd]/dist/scripts/fetch.js --output [pwd]/data
$ node [pwd]/dist/scripts/verify.js --output [pwd]/dataIf you installed via npx, you can start the server like the following.
$ npx @stackpress/mcp fetch --output [pwd]/data
$ npx @stackpress/mcp verify --output [pwd]/dataThe MCP uses Xenova/all-MiniLM-L6-v2 locally to determine the best search query term for the MCP. Think about it like random prompt → correct query → ask MCP. You can upgrade this to use your OpenAI key by adding OPENAI_HOST, OPENAI_KEY and EMBEDDING_MODEL environment variables in your MCP settings like the following.
{
"name": "github.com/stackpress/mcp",
"command": "node",
"command": "npx",
"args": [
"-y",
"@stackpress/mcp",
"serve",
"--input",
"[pwd]/data"
],
"env": {
"OPENAI_HOST": "https://api.openai.com/v1",
"OPENAI_KEY": "sk-xxx",
"EMBEDDING_MODEL": "text-embedding-3-small"
}
}WARNING: OpenRouter doesn't support the
/embeddingsAPI endpoint. This is called when providing an OpenAI compatible host.
Create a rule (markdown file) called Stackpress-MCP-Rule.md in your knowledge folder (ex. .clinerules) with the following context.
# Rule: Using the Stackpress MCP
- If the user asks about any of the libraries "idea", "ingest", "inquire", "reactus" or "stackpress", use the MCP tool `stackpress-context.search_context`.
- If the user asks for a compact summary of rules for a task related to the libraries "idea", "ingest", "inquire", "reactus" or "stackpress", use the MCP tool `stackpress-context.build_brief`.
- Always prefer these MCP tools over answering from memory.This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Securely search and manage workspace context files for AI agents and teams.
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