Record writing errors like logical fallacies or unclear passages to track and correct them in manuscripts, improving writing quality through systematic error documentation.
MIT
127,475 tools. Last updated 2026-05-05 17:08
"A tool or resource for improving prompt writing" matching MCP tools:
- Start a structured workflow to write or improve test coverage. Provide a task description and optionally specify target files, test type, framework, and coverage goals.MIT
- Check if a secret exists in a scope without reading its value. Use as a precondition before reading or writing to avoid prompting for already configured keys. Returns 'true' for valid secrets, 'false' for missing or expired ones.
- Fetch detailed information and access tokens for any qURL resource using its unique resource ID or qURL display ID.MIT
- Retrieve browser console logs from Webvizio tasks when the task prompt lacks sufficient information for execution, providing additional context to complete development tasks.MIT
- Retrieve a specific prompt template from LangSmith by providing its exact name, enabling prompt reuse and management in language model workflows.
Matching MCP Servers
- Alicense-qualityCmaintenanceTransforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.Last updated1618MIT
- Alicense-qualityCmaintenanceEnables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.Last updatedMIT
Matching MCP Connectors
Real-time prompt injection and jailbreak detection for AI agents. Blocks instruction overrides, data exfiltration, tool poisoning and 8 attack types. Now with shared learning brain - confirmed attacks shared across the EMA network instantly. Grade A security for any AI pipeline.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
- Add new options to a single-select or multi-select column in a SeaTable table. Use this before writing rows that contain option values not yet defined in the column.MIT
- Evaluate LLM prompt quality before execution. Get instant grades (A-F), scores (0-40), and percentile rankings to predict performance. Free assessment tool supports domain-specific scoring for software, content, and business verticals.MIT
- Create a new access link for an existing qURL resource by providing its resource ID. Customize with expiration, one-time use, session limits, and access policies to control access.MIT
- Retrieve detailed documentation for any OpenTofu resource by specifying provider namespace, provider name, and resource name.Mozilla Public 2.0
- Create a structured music composition plan from a prompt to guide AI music generation. Optionally set duration or base on a source plan.MIT
- Check the status of signing invitations for documents or document groups in SignNow. Use this tool to monitor invite progress and track signature completion.
- Generate multiple image variations from a single prompt by automatically varying the seed. Explore different interpretations or select the best result from a set of up to 16 outputs.
- Retrieve a download link for SignNow documents or document groups using the entity ID. Provides access to signed documents and related files for sharing or storage.
- Convert a text prompt or structured composition plan into music and save the audio file to a specified directory. Optionally set music length and define stylistic sections for custom results.MIT
- Assign a technician (resource) to a service call ticket. Provide service call ticket ID and resource ID to link a resource to the ticket.
- Retrieve resource capacity details from OceanBase for the sys tenant. Use this tool to access and manage system-level resource allocation and utilization data.Apache 2.0
- Explore and retrieve available writing styles and tones to enhance text rephrasing and language translation using the DeepL MCP Server.MIT
- Remove a specific resource type (artifact, release_bundle, or build) from a permission target on the JFrog MCP Server using this tool.Apache 2.0
- Retrieve all available actions for a specified resource using the Seitrace Insights MCP Server. This tool enables efficient access to blockchain data by listing actions associated with a given resource name.MIT