"Connecting Firebase to a data source or application" matching MCP servers:

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

Enables querying a unified database of items from Gmail, Notion, Linear, and Google Calendar through MCP tools, including filtered lookups, stats, and natural-language questions.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.

Enables AI agents to convert Markdown into styled Word (.docx) documents, with control over fonts, colors, and layout via parameters.

Converts markdown files into professional PDF documents with automatic table of contents and interactive navigation.

Enables AI agents to convert GitHub Flavored Markdown into formatted Word (.docx) files, including headings, lists, tables, links, code and images, with an optional Chinese official document (公文) font preset. Conversion runs locally, so no content is uploaded.

MCP server for querying work checkpoints and storing finalized timesheet reports in SQLite.

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables MCP clients such as Claude, ChatGPT and Cursor to answer business questions about sales, customers, orders and spreadsheets in natural language by reading live Postgres/SQLite databases and Google Sheets without exporting files or gaining write access. Guardrails include AST-based read-only SQL validation, read-only database roles, row/byte caps with pagination, PII masking, bearer-token auth for remote HTTP use, and a full JSONL audit log of every tool call.

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

Connects AI assistants to Confluence Server/Data Center, enabling search, content management, attachments, and natural-language interaction with your Confluence instance.

A Model Context Protocol (MCP) server that connects AI assistants to Jira Server/Data Center, enabling issue management, JQL search, sprint tracking, and natural language interaction with Jira.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

TO DO microsoft

Lets Claude and other AI clients read and modify Microsoft To Do through natural language, adding, completing, searching, updating, and deleting tasks and sub-steps by title and list name instead of ids. Personal Microsoft accounts need no Azure app registration — a single device-code sign-in grants access, with optional read-only and no-delete modes available.

Enables AI agents to inspect, read, create, format, edit, validate and convert DOCX, XLSX, PPTX and PDF documents through standard OOXML manipulation plus a locally installed R7 converter, without emulating mouse or keyboard input. It also optionally bridges to a document the user has open in R7-Office Desktop over loopback WebSocket.

Unified MCP server for Mingdao platform, providing 98 tools for collaboration APIs (v1) and HAP gateway. Enables AI IDEs to interact with Mingdao's features like schedules, workflows, knowledge bases, etc.

Enables users to manage a personal to-do list backed by SQLite, adding single or multiple tasks, listing incomplete tasks, renaming or updating task status, and marking tasks complete. All state persists in a local database created automatically on first run.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.