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anythingmcp_connect_client

Read-onlyIdempotent

Get plain-text setup instructions to connect a chosen AI client (Claude, ChatGPT, Muse, Gemini, Copilot, or Cursor) to an existing AnythingMCP server by passing the client.

Instructions

Read-only, no side effects. Returns plain-text setup instructions for connecting ONE AI client to an AnythingMCP server; pass the required client. Use this once you already have an AnythingMCP instance running; to install one first, use anythingmcp_get_started.

Input Schema

NameRequiredDescriptionDefault
clientYesWhich AI client to get connection instructions for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.32.1
    • changedInput schema / properties / client / enum
      Previous value: -[
      -  "claude",
      -  "chatgpt",
      -  "gemini",
      -  "copilot",
      -  "cursor"
      -]New value: +[
      +  "claude",
      +  "chatgpt",
      +  "muse",
      +  "gemini",
      +  "copilot",
      +  "cursor"
      +]
  2. Changed1 schema field changedv0.1.1
    • changedInput schema / properties / client / description
      Previous value: -"Which AI client to connect."New value: +"Which AI client to get connection instructions for."
  3. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so "Read-only, no side effects" is largely redundant. However, the description adds the return format (plain-text setup instructions) and the one-client-per-call scope, which is genuinely useful since there is no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with zero waste; the behavioral/safety claim and the resource are front-loaded, followed by the routing rule to the sibling tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter, read-only tool with no output schema, the description covers scope, safety, output form and the sibling prerequisite path. Nothing an agent needs to invoke it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single enum parameter is already documented in-schema with its allowed values. The description only restates that `client` is required and singular, adding no syntax or format detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (returns plain-text setup instructions) with an explicit scope of ONE AI client, and the required `client` argument. It clearly distinguishes itself from the sibling anythingmcp_get_started, which handles installation rather than connection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit precondition ("once you already have an AnythingMCP instance running") and names the alternative for the other case ("to install one first, use anythingmcp_get_started"). The agent has no inference left to make about when this tool applies.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.