by ashdevfr
Discourse Search lets you quickly search and retrieve posts from Discourse forums using the powerful discourse2 npm pack
Connects to Discourse forums to search and retrieve posts through API queries. Requires forum API credentials to access content.
Discourse Search is a community-built MCP server published by ashdevfr that provides AI assistants with tools and capabilities via the Model Context Protocol. Discourse Search lets you quickly search and retrieve posts from Discourse forums using the powerful discourse2 npm pack It is categorized under search web.
You can install Discourse Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Discourse Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
We wired Discourse Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Discourse Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Discourse Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Discourse Search is the kind of server we cite when onboarding engineers to host + tool permissions.
Discourse Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Discourse Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Discourse Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Discourse Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Discourse Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Discourse Search is the kind of server we cite when onboarding engineers to host + tool permissions.
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Mini Search
Mini Search offers a lightweight google web search api solution, connecting effortlessly to OpenAI or OpenRouter.ai sear
★ 79.9K
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.