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Gearlist

Search a source-checked catalog of AI tools, MCP servers, and skills, with access notes and job-based recommendations.

Install Gearlist

Pick your client, then add it in one click or paste the config.

Streamable HTTP (Remote)
Server URL
https://gearlist.build/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Hosted endpointLive · 2d agoLive Remote EndpointOur automated health check connected to this remote MCP endpoint successfully.Last checked 2d ago · Nov 11, 2026, 19:00 UTC

Clients with native remote MCP support can connect directly to this URL.

Remote endpoint
https://gearlist.build/mcp

Overview

Gearlist MCP server exposes a read-only catalog of source-checked AI agent tools, MCP servers, and skills through a remote MCP interface. Its tools search entries, retrieve individual records, browse categories, list installable skills, and recommend a set of entries for a described job. Results include access notes covering keys, costs, and what data leaves the user's machine. Reach for Gearlist when an agent needs to compare documented options before installing or connecting to external tools; no sign-in is required.

Use cases

  • Search for MCP servers suited to a described task
  • Compare API keys, costs, and data-sharing notes before adoption
  • Retrieve the verification details for a catalog entry
  • Browse available agent skills and their installation commands
  • Review a job-based tool stack before asking for installation

Key features

  • Searches a source-checked catalog
  • Returns access notes for catalog entries
  • Retrieves entries by ID with check details
  • Lists categories and published skills
  • Recommends entries from a described job
  • Operates read-only without sign-in

Tools5

What Gearlist lets your agent do. Expand a tool for its parameters.

Verified live~619 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked

Recent health check succeeded.

What it can do

From the 5 tools this server returned when we ran it.

Read-only tools · 5

Observed 2026-11-11 in an isolated sandbox. A description of reach, not a security audit.

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

MaintenanceActively maintainedStatus declared by the project or listing owner.
Tools exposed5Callable tools this server registers over MCP.

How Gearlist works

What Gearlist does

Gearlist gives MCP-compatible agents a searchable view of a directory covering AI agent tools, MCP servers, and agent skills. The catalog is source-checked at the documentation level: entries are checked against their published information, but they are not installed or audited by Gearlist.

The directory is particularly useful for evaluating access requirements before adopting a tool. Search results include notes about required keys, costs, and the data that may leave the user's machine. Individual entries also identify what was checked and when.

Gearlist is read-only. It does not install tools, modify catalog entries, or require an account to use its remote MCP server.

How it works

An MCP client sends requests to Gearlist's remote server, which searches or reads catalog data and returns structured results. search_gear matches terms across an entry's name, category, description, intended audience, and access notes, then orders results by match quality. Each returned entry includes its access notes, which should be shown to the human making the decision.

recommend_stack takes a natural-language description of a job and finds a short set of entries whose text shares the most words with that description. It spreads results across groups and quotes where each match occurs. Because the matching is word-based, recommendations still need to be checked for suitability.

The catalog can also be explored by category or by skill. Skill results include the command associated with installing each skill; the human should approve before an agent runs any such command.

Setup and configuration

Use Gearlist as a remote MCP server from an MCP-compatible client. No sign-in is needed, and the service is read-only.

Once connected, an agent can call the catalog tools directly. Installing a skill listed by list_skills is a separate action and requires human confirmation before execution.

Tools and capabilities

  • search_gear searches source-checked tools, MCP servers, and skills by text across several catalog fields. Results are ordered by match and include access notes.
  • get_gear retrieves one entry by the ID returned from search_gear, including the checks performed and their date.
  • list_categories returns Gearlist's categories and the number of entries in each.
  • list_skills lists published agent skills and the command used to install each one.
  • recommend_stack proposes a short, cross-group set of entries for a described job and quotes the matching text.

The catalog's checks are documentation checks only. They do not establish that an entry was installed, tested, or independently audited.

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about Gearlist

Gearlist is an MCP server that connects AI agents to the Gearlist catalog of source-checked tools, MCP servers, and skills. Its main tools search entries, retrieve individual records, list categories and skills, and recommend a stack for a described job. It is read-only and requires no sign-in.

No local installation is required to use Gearlist's remote MCP server. Connect an MCP-compatible client using the service's connection configuration, then call its catalog tools. The available configuration details do not include a client-specific setup command.

No, Gearlist does not require sign-in. Its remote MCP server is described as free and can return access notes showing whether individual catalog entries require keys, have costs, or send data outside the machine.

No, Gearlist only lists each published skill and its installation command. An agent should ask the human for approval before running any command returned by `list_skills`.

No, Gearlist entries are documentation-checked rather than installed or audited. `get_gear` reports what was checked and when, while search and recommendation results should still be evaluated for fit.

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