You are mid-conversation with an AI assistant. You need a Postgres MCP, a browser automation server, or something that scrapes URLs to markdown. What happens next?
Usually: open a new tab, search a directory, copy a slug, paste an install command, switch back, hope you remembered the details. The agent cannot help because it does not know what is in the catalog.
Influzer MCP Discovery fixes that loop. It is our official, read-only MCP server — a bridge between your chat and the Influzer directory — so Claude, ChatGPT, or Cursor can search, recommend, and pull setup details for 5,500+ MCP servers without you leaving the conversation.
Endpoint: https://www.influzer.ai/mcp/discovery · Setup guide: /mcp/discovery/setup
Why we built a discovery MCP
Influzer.ai already aggregates MCP servers from Glama, Smithery, community lists, and manual submissions — with daily tool validation on live HTTP endpoints. Developers use it to compare integrations before wiring an agent stack.
But directories live on the web. Agents live in the chat. That gap creates friction every time someone asks:
- "Find me an MCP for browser automation."
- "What tools does the Playwright MCP expose?"
- "Recommend a coding-agent stack with GitHub and docs lookup."
MCP Discovery closes the loop: the same catalog, exposed as tools your agent can call. No OAuth. No write access. Just search, recommend, and retrieve setup metadata from inside the client you already use.
It is the pattern we think every serious directory will eventually ship — discovery as a first-class MCP, not a sidebar link in a README.
What Influzer MCP Discovery does
The server exposes four read-only tools backed by our live catalog (353 servers with indexed tools, 3,100+ tool entries searchable by capability):
| Tool | What it does |
|---|---|
search_mcp_servers | Search by server name, category, or tool capability — e.g. "postgres", "scrape", "create_issue" |
get_mcp_server | Full detail for one slug: tools, transport, install command, remote URL, Influzer page link |
recommend_mcp_servers | Curated suggestions by use case — browser automation, RAG, coding agents, PDF, OpenAPI, web scraping |
list_mcp_topics | Topic guides from our MCP topics hub with server counts per theme |
Every result includes links back to Influzer detail pages — so when you find a server, you still get copy-paste setup steps, docs URLs, and tool lists on the web.
Listing page: /mcp/influzer-mcp-discovery
How to connect in Claude
Claude supports remote MCP connectors over HTTPS — Anthropic's cloud connects to our public endpoint. No local install.
- Open Settings → Connectors (or visit claude.ai/customize/connectors)
- Click Add connector → Custom → Web
- Name: Influzer MCP Discovery
- URL:
https://www.influzer.ai/mcp/discovery - Leave OAuth blank — this server is read-only and needs no auth
- Save, start a new chat, and enable the connector for that conversation
Try: "Use Influzer to find MCP servers for browser automation" or "Search for Postgres MCP servers and compare the top three."
Docs: Anthropic custom connectors guide
How to connect in ChatGPT
ChatGPT connects from OpenAI infrastructure — localhost will not work. Our production URL is already public HTTPS.
- Settings → Apps & Connectors → Advanced → enable Developer mode
- Connectors → Create (custom connector)
- Name: Influzer MCP Discovery
- MCP server URL:
https://www.influzer.ai/mcp/discovery— include/discovery - Authentication: None / off
- Create the connector and approve access when prompted
- New chat → + → More → Developer mode → enable Influzer MCP Discovery
Try: "Recommend MCP servers for a coding agent stack" or "What tools does the Firecrawl MCP expose?"
Docs: OpenAI MCP documentation
How to connect in Cursor
For developers, Cursor is the fastest path — one URL in MCP settings:
{
"mcpServers": {
"influzer-discovery": {
"url": "https://www.influzer.ai/mcp/discovery"
}
}
}Add that to Cursor → Settings → MCP or your project's .cursor/mcp.json. Reload MCP, then in Agent mode ask: "Search Influzer for Firecrawl alternatives" or "Get setup details for the Supabase MCP."
Full step-by-step with Claude Code CLI notes: Setup guide
Example prompts that work well
Discovery shines when you ask for capabilities, not just names:
- "Search Influzer for MCP servers that can scrape URLs to markdown."
- "Recommend MCP servers for a coding agent stack with GitHub and docs lookup."
- "Get full setup details for the Playwright MCP from Influzer."
- "List Influzer topic guides for browser automation and show top servers in each."
- "Compare Postgres and Supabase MCP servers — tools, transport, setup."
The agent calls search_mcp_servers or recommend_mcp_servers, then optionally get_mcp_server for the winner. You stay in one thread.
Read-only by design
Discovery never writes to your systems. It does not store API keys, submit forms, or modify the catalog. It returns public metadata from Influzer.ai — the same data you would see on a server detail page.
That makes it safe to enable broadly:
- No OAuth — connect with URL only
- No secrets — nothing to rotate or leak
- Stateless — each tool call is independent
- Public HTTPS — works from Claude and ChatGPT cloud connectors
For production agent stacks, treat Discovery as a research tool — then install the actual servers (GitHub, Postgres, Playwright) with appropriate scoped credentials. See our seven-question MCP audit before enterprise rollout.
How Discovery fits the Influzer directory
Think of it as three layers:
- Web directory — Top 100, full registry, topic guides for browsing and SEO
- Discovery MCP — programmatic search from inside agents (this article)
- Daily pipeline — weekly registry refresh, daily
tools/listvalidation, manual submissions at /mcp/submit
Discovery always reflects the same catalog the website shows. When we validate tools overnight, your agent gets updated results the next day.
More on how the directory is built: The most complete MCP server list on the web.
Who should use this
Developers evaluating MCP for Cursor or Claude Code — ask the agent to shortlist before you edit config files.
Team leads running security reviews — pull tool lists and transport types without opening fifty tabs.
Vendor PMs comparing competitive integrations — see who indexes "create_issue" or "run_query" in our catalog.
Anyone new to MCP — pair Discovery with our What is MCP? guide and first MCP setup in Cursor tutorial.
Quick answers
Is it free?
Yes. The endpoint is public read-only HTTPS. No API key required.
Does it work with VS Code MCP extensions?
Any client that supports remote HTTP MCP URLs can use the same endpoint. Cursor and Claude are the most tested paths today.
Can I list my server through Discovery?
Discovery searches the catalog — it does not accept submissions. Add or update listings via /mcp/submit; approved servers appear in search automatically.
What if a server is missing from results?
The catalog grows weekly from registries plus manual review. Submit gaps at /mcp/submit or browse the full directory on the web.
How is this different from browsing influzer.ai/mcp?
Same data, different interface. Discovery is for agents; the website is for humans who want filters, SEO pages, and side-by-side comparison. Use both.
Get connected
Endpoint: https://www.influzer.ai/mcp/discovery
Setup guide (Claude, ChatGPT, Cursor, Claude Code): influzer.ai/mcp/discovery/setup
Server listing: /mcp/influzer-mcp-discovery
Browse the directory: Top 100 MCP servers
The integration layer for AI-native software is MCP. The discovery layer for MCP should not be a bookmark you lose in a tab bar — it should be a tool your agent can call. That is what we built.
Bottom line: Connect Influzer MCP Discovery once. Then every conversation in Claude, ChatGPT, or Cursor can search 5,500+ servers by what they actually do — not just what they are called.
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