List available document templates with their variables. Retrieve template names, IDs, file types, and placeholder variables for use in bulk document generation.
MIT
184,844 tools. Last updated 2026-06-08 20:05
"json-document-templates-for-engineering-prompt-generation" matching MCP tools:
- Create an embedded editor for documents, document groups, templates, or template groups. Automatically generates a document from templates before opening the editor.MIT
- Creates an embedded invite for signing documents or templates, automatically generating a document when using a template.MIT
- List all uploaded document templates. Returns a JSON array of template information for selecting templates before generating PDF, DOCX, or Excel documents.MIT
- Save and retrieve reusable prompt templates to avoid rewriting common instructions.MIT
- Generate a year-in-review data package from your Cursor AI chat history, producing a sanitized JSON summary with statistics, topics, and keywords, plus a prompt template for LLM-based report generation.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceConvert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.Last updated5MIT
JSON Contractsofficial
AlicenseAqualityBmaintenanceJSON Contracts is a local MCP server for transforming natural language into Git-controlled JSON contracts, JSON Schema validation, and structured LLM/agent outputs.Last updated8131Apache 2.0
Matching MCP Connectors
Cloudflare Workers MCP server: ai-prompt-optimizer
Deterministic JSON repair for LLM agents. Strips prose preambles, fixes malformed control characters, repairs truncated structures, and validates against JSON Schema — no LLM calls, no retries. Stops session poisoning in long-running agents.
- Create reusable document templates with HTML/Handlebars markup and JSON schema for generating PDFs like invoices, contracts, and reports.MIT
- Lists prompt templates for engineering reasoning workflows, enabling structured thought through step-by-step reasoning, branching, merging, and validation.Apache 2.0
- Discover available JSON document databases to identify which collections you can access for document management and querying operations.MIT
- Discover available prompt engineering techniques with acceptance statistics to enhance AI interactions through optimized method selection.MIT
- Transform prompts using engineering best practices to improve clarity and effectiveness for AI assistants.MIT
- Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.MIT
- Retrieve available prompt templates from the Open WebUI MCP Server to manage and utilize predefined AI interaction patterns for administrative tasks.MIT
- Connect a JSON document database to cloud sync for sharing and collaboration across devices.MIT
- Discover available prompt templates, wizards, and workflows to streamline interactions with the Letta system.MIT
- Retrieve a JSON document from a database by specifying its unique ID. This tool accesses stored documents for viewing or processing within the MCP JSON Document Collection Server.MIT
- Ask clarifying questions to understand user requirements and refine prompts for Claude Code engineering.MIT
- Remove a JSON document from a database by specifying its unique ID, enabling document management and cleanup in Fireproof JSON databases.MIT
- Manage document templates with variable substitution. Create, update, delete, apply, preview, import, and export templates to automate documentation generation from coding sessions.MIT
- Store JSON documents in a document database for persistent storage, enabling data management and retrieval within the MCP JSON Document Collection Server.MIT