"Discussing Application Architectures and Server Costing" matching MCP servers:

MCP server providing construction job costing data and interactive visualizations for a fictitious general contractor, enabling queries on projects, budgets, cost codes, change orders, and cash flow.

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

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.

A local-first, open-source MCP server that analyzes jobs, matches your CV, tailors documents, and tracks applications — all on your machine with no data uploaded.

Enables AI assistants to query, filter, and update job application records, and to analyze skill demand across postings.

Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables tracking job applications by connecting Gmail to retrieve emails, process job details, manage statuses, and generate statistics.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

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.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A template for building MCP servers with automatic tool discovery using TypeScript and Zod schemas, supporting HTTP and STDIO transports.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Exposes the agent's tools over the Model Context Protocol, enabling LLMs to track applications, generate cover letters, and process emails.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

A template MCP server created with create-xmcp-app that demonstrates structured organization of tools, prompts, and resources with automatic discovery from their respective directories.