research-publish
MCP server for publishing markdown AI research entries to a Convex database. Supports both development and production environments with secure deployment credentials.
README
research-publish
MCP server for publishing markdown AI research entries into a Convex aiResearch table.
The server is environment-pinned at startup:
-devbinds the server to your dev deployment credentials.-prodbinds the server to your prod deployment credentials.
The MCP host should provide the target deployment's .convex.site URL and write key through environment variables.
Required backend contract
This MCP expects a protected Convex HTTP endpoint at:
POST /studio/ai-research
Request body:
{
"title": "Release notes",
"body": "# Heading\n\nMarkdown body",
"model": "gpt-5.4",
"prompt": "Summarize the migration plan"
}
Environment variables
CONVEX_SITE_URLCONVEX_WRITE_KEY
Optional:
CONVEX_PUBLISH_PATHdefaults to/studio/ai-research
MCP host config example
{
"mcpServers": {
"research-publish-dev": {
"command": "npx",
"args": ["-y", "research-publish", "-dev"],
"env": {
"CONVEX_SITE_URL": "https://your-dev-deployment.convex.site",
"CONVEX_WRITE_KEY": "your-dev-write-key"
}
},
"research-publish-prod": {
"command": "npx",
"args": ["-y", "research-publish", "-prod"],
"env": {
"CONVEX_SITE_URL": "https://your-prod-deployment.convex.site",
"CONVEX_WRITE_KEY": "your-prod-write-key"
}
}
}
}
Development
npm install
npm run build
npm test
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.