"Understanding SQL Server Schema and Querying" matching MCP servers:

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

Enables AI agents to create documents from templates, send them for legally valid Argentine electronic or digital signature, track status, download signed PDFs with audit certificates, and cryptographically verify signatures.

An MCP server that exposes Google Docs and Gmail capabilities to LLMs via SSE transport.

An MCP-compliant server that exposes Gmail and Google Docs as tools, enabling AI agents to draft, send, and manage emails, as well as create, read, and append to documents through natural language.

Enables evidence-grounded resume tailoring by generating ATS-readable LaTeX/PDF resumes from a user-curated experience bank, with every bullet traceable to evidence and inferred wording flagged for user approval.

Render PDFs and images from HTML templates (Jinja2, Liquid, Handlebars) or Word and PowerPoint files through the Formfeed API, check data against a template's schema before rendering, and convert Office documents to PDF.

MCP server for Taskwarrior 3.x — 35 tools for task lifecycle, time tracking, schema validation, and role-based permissions.

Enables operating Notion pages and databases through a single Markdown document, supporting read, write, search, list, update, schema, comment, delete, and move operations in one call.

Enables an AI agent to build a Europass CV section by section and export it as strictly schema-compliant Europass XML, or as a PDF with that XML embedded.

An MCP server that lets AI models interact with Oracle Fusion Cloud HCM across its entire REST surface. It uses generic, schema-aware tools to dynamically discover licensed modules and resources without per-endpoint code.

The official Model Context Protocol (MCP) server for SeaTable, built and maintained by SeaTable GmbH. It lets AI agents interact with data in your bases — reading, writing, searching, linking, and querying rows through a focused set of tools. The server intentionally focuses on data operations, not schema management (creating/deleting tables or columns), keeping the tool set lean and safe for auto

Data-first MCP server for reading and writing spreadsheets (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine.

An MCP server that enables querying performance review periods, records, details, and saving self-assessment drafts without final submission.

Enables precise, schema-validated editing of Notion pages, databases, blocks, properties, and schemas, with dry-run previews, bulk updates, undoable writes, and scheduled automations.

Enables reading, creating, updating, and appending Feishu documents, as well as querying and updating Bitable fields and records via the MCP protocol.

Enables querying and managing Clockodo time-tracking data through natural language, with read tools for daily use and guarded write tools for safe edits.

Enables querying, creating, updating, completing, and deleting TodoMate Firestore todos through MCP, with optional date handling and Bearer-token-protected HTTP transport.

An unofficial MCP server that exposes the Timetastic API to enable querying and managing absence & leave data.

Serves CV content in Markdown, PDF, LaTeX, HTML, and Typst formats, with semantic querying and tailored CV rendering capabilities.