Centralized MCP Endpoint Configuration Manager

This specialized MCP hosting entity facilitates the governance of endpoint configurations across disparate MCP consumers. It furnishes capabilities to fetch, enumerate, inject, and excise registered server configurations within client-specific preference manifests. The system intelligently deduces the correct configuration file location based on the target operating environment (Windows or macOS) and the specified consumer identifier.

Deployment Instructions

bash

Obtain via npm registry

npm install -g @landicefu/mcp-client-configuration-server

Alternatively, execute directly using npx

npx @landicefu/mcp-client-configuration-server

Integration Schema

To enable this MCP host within your conversational AI framework, incorporate the following stanza into your configuration settings:

{ "mcpServers": { "mcp-client-configuration": { "command": "npx", "args": ["-y", "@landicefu/mcp-client-configuration-server"], "env": {}, "disabled": false, "alwaysAllow": [] } } }

Supported Consumers

• Cline: Claude-based code assistance application
• Roo Code: Integrated development environment featuring AI integration
• WindSurf: Web navigation utility enhanced with generative AI
• Claude app: Native desktop instance of the Claude intelligent agent

Crucial Caveat: Support for the Cursor editor has been officially deprecated. This cessation is due to Cursor employing a non-standardized method for MCP preference storage, rendering it incompatible with this server's file-system manipulation paradigm.

Operational Use Cases

This host component proves invaluable for:

1. Homogenizing Server Definitions Across Agents: Define a single server setup and propagate it uniformly to multiple consuming applications.
2. Automated Preference Management: External scripting can leverage this service to programmatically orchestrate changes to MCP configurations.
3. Diagnostic Procedures: Simplify the auditing of currently active server definitions and their associated parameters.

Scenario Example: Propagating a Server Definition from Roo Code to the Claude Desktop Client

Here is a representative instruction set suitable for input into an AI assistant to duplicate an MCP server's definition from Roo Code to the Claude desktop instance:

Please copy the "brave-search" MCP server configuration from Roo Code to my Claude desktop app.

The AI assistant would internally sequence the following actions:

1. Fetch the target server configuration originating from Roo Code: javascript // Step 1: Secure the server definition from Roo Code { "client": "roo_code", "server_name": "brave-search" }

2. Subsequently, inject that identical definition into the Claude client's configuration space: javascript // Step 2: Register the configuration within Claude using identical settings { "client": "claude", "server_name": "brave-search", "json_config": { // Configuration payload secured in the preceding operation }, "allow_override": true }

This mechanism facilitates seamless synchronization of your MCP endpoint definitions across various AI interaction platforms.

Exposed Toolset

get_configuration_path

Resolves and returns the absolute filesystem location for a specific client's configuration document.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude)

Output: * The fully qualified file path (string)

get_configuration

Fetches the totality of the configuration payload contained within a client's preference file.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude)

Output: * The entire JSON object extracted from the client's settings file

list_servers

Enumerates every registered server identifier present in a designated client's configuration manifest.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude)

Output: * An array containing all defined server names

get_server_configuration

Retrieves the specific parameter set for an endpoint identified by name within a client's configuration.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude) * server_name (mandatory): The unique identifier of the endpoint definition

Output: * The associated JSON payload for the requested server

add_server_configuration

Inserts a new server definition or overwrites an existing one within a client's preference document.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude) * server_name (mandatory): The designation for the new or updated endpoint * json_config (mandatory): The structural server definition in JSON format

Demonstration Payload:

{ "command": "npx", "args": ["-y", "@landicefu/android-adb-mcp-server"], "env": {}, "disabled": false, "alwaysAllow": [] }

Output: * A confirmation message detailing the successful update or insertion

remove_server_configuration

Purges a specified server definition from the configuration file associated with a client.

Arguments (Schema): * client (mandatory): The consumer moniker (options: cline, roo_code, windsurf, claude) * server_name (mandatory): The identifier of the server definition to eliminate

Output: * The definition that was removed, or a notification if the server was not present

Technical Underpinnings

• The host dynamically ascertains the correct configuration file location contingent upon the detected OS (Windows/macOS) and the designated consumer agent.
• All persistent configuration documents are maintained in a standardized, human-readable JSON format following any transactional write operation.
• Robust exception handling manages scenarios involving non-existent preference files or access authorization failures.
• The service possesses the capability to instantiate necessary configuration files and directory structures should they be missing upon operation initiation.
• Configuration storage locations per consumer:
  • Windows (Win):
    • Cline: %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
    • Roo Code: %APPDATA%\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\cline_mcp_settings.json
    • WindSurf: %APPDATA%\WindSurf\mcp_settings.json
    • Claude: %APPDATA%\Claude\claude_desktop_config.json
  • macOS (Darwin):
    • Cline: ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    • Roo Code: ~/Library/Application Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json
    • WindSurf: ~/.codeium/windsurf/mcp_config.json
    • Claude: ~/Library/Application Support/Claude/claude_desktop_config.json

Issue Resolution

Frequent Complications

1. Configuration Manifest Unreachable

   • When adding a novel endpoint, the requisite preference file will be materialized automatically if absent.
   • For all other operations, an explicit error notification will be returned if the settings file cannot be located.

2. Endpoint Already Registered

   • If attempting to inject an endpoint that already possesses entries, the allow_override flag must be explicitly set to true to permit modification.
   • Illustration:

   { "client": "cline", "server_name": "existing-server", "json_config": { / Fresh payload / }, "allow_override": true }

3. Unsupported Execution Environment

   • Presently, operational support is restricted to Windows and Darwin platforms.
   • Expansion to include Linux environments is contingent upon future development cycles.

Recommended Operational Protocols

• Always verify the existence of a server definition prior to attempting any modification or deletion sequence.
• Maintain uniform naming conventions for server identifiers across distinct consuming agents to simplify overarching administration.
• Advise utilizing system environment variables to securely inject sensitive parameters within server definitions.

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