Textwell MCP Server
The Textwell MCP Server provides a JSON API that allows you to write text to the Textwell application on macOS using three modes:
Replace Mode: Replaces all current content with new text
Insert Mode: Inserts text at the current cursor position
Add Mode: Appends text to the end of existing content
Note that the server only supports write operations, with no reading capabilities.
Provides integration with Textwell application on macOS, allowing text to be written to the application in replace, insert, or add modes
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Textwell MCP Serverwrite 'Meeting notes: Project kickoff scheduled for Monday' in add mode"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Textwell Write Tool (MCP Server)
A specialized MCP server designed exclusively for writing text to the Textwell application on macOS.
Overview
This tool provides a straightforward way to write text to Textwell.
Related MCP server: GitHub MCP Server
Features
The server provides a single tool: write-text
Write Text Tool
Writes text to Textwell using specified modes:
Replace Mode (default)
Replaces the entire content with new text
Use case: Complete content replacement
Insert Mode
Inserts text at the current cursor position
Use case: Adding content within existing text
Add Mode
Appends text to the end of current content
Use case: Adding new content while preserving existing text
Limitations
Write-only operations (no read capabilities)
Development Setup
Prerequisites
Node.js v22.12.0 (managed by Volta)
npm v10.9.0 (managed by Volta)
macOS (for Textwell integration)
Installation
Clone the repository
git clone [repository-url]
cd textwell-mcpInstall dependencies
npm installBuild the server
npm run buildLicense
MIT
Available Tools
1 toolwrite-textC
Write text to Textwell application
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | replace: overwrite all, insert: at cursor, add: at end | replace |
| text | Yes | Content to write to Textwell |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Write text' which implies a mutation operation, but fails to describe permissions needed, side effects, error conditions, or response format. This leaves significant gaps for a tool that modifies application state.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a simple tool and gets straight to the point without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after writing, error handling, or important behavioral aspects. The combination of missing annotations and minimal description creates significant gaps in understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% description coverage, with both parameters well-documented in the schema itself. The description adds no additional parameter semantics beyond what's already in the structured schema, meeting the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Write text') and target ('to Textwell application'), providing a specific verb+resource combination. However, with no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what the tool does without any usage context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
write-text
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'write-text' has a clear and distinct purpose that cannot be misselected against other tools.
The single tool name 'write-text' follows a consistent verb-noun pattern. Since there is only one tool, there is no inconsistency in naming conventions to evaluate.
A single tool is generally too few for a server's purpose, as it limits functionality and suggests an incomplete or trivial scope. For a text-related server, one tool is insufficient for comprehensive operations.
The tool surface is severely incomplete for a text application server. With only a write operation, there are obvious gaps such as reading, editing, deleting, or managing text, which will cause agent failures in typical workflows.
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