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Search MCP Servers Without Leaving Claude, ChatGPT, or Cursor — Introducing Influzer MCP Discovery

We built a read-only MCP server so your agent can search 5,500+ integrations by capability — Postgres, browser automation, scraping, coding stacks — from inside the chat you already use. Here is what it does and how to connect it in two minutes.

Connecting Influzer MCP Discovery to Claude, ChatGPT, and Cursor

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:

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):

ToolWhat it does
search_mcp_serversSearch by server name, category, or tool capability — e.g. "postgres", "scrape", "create_issue"
get_mcp_serverFull detail for one slug: tools, transport, install command, remote URL, Influzer page link
recommend_mcp_serversCurated suggestions by use case — browser automation, RAG, coding agents, PDF, OpenAPI, web scraping
list_mcp_topicsTopic 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.

  1. Open Settings → Connectors (or visit claude.ai/customize/connectors)
  2. Click Add connector → Custom → Web
  3. Name: Influzer MCP Discovery
  4. URL: https://www.influzer.ai/mcp/discovery
  5. Leave OAuth blank — this server is read-only and needs no auth
  6. 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.

  1. Settings → Apps & Connectors → Advanced → enable Developer mode
  2. Connectors → Create (custom connector)
  3. Name: Influzer MCP Discovery
  4. MCP server URL: https://www.influzer.ai/mcp/discovery — include /discovery
  5. Authentication: None / off
  6. Create the connector and approve access when prompted
  7. New chat → +MoreDeveloper 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:

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:

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:

  1. Web directoryTop 100, full registry, topic guides for browsing and SEO
  2. Discovery MCP — programmatic search from inside agents (this article)
  3. Daily pipeline — weekly registry refresh, daily tools/list validation, 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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