"General Search Query" matching MCP servers:

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

A Model Context Protocol (MCP) server for the Atlassian Goals API. Enables AI assistants like Claude to query, search, and update Atlassian Goals and Projects.

Enables LLM clients to semantically search and query metadata within Jama requirements management via RAG and native API filters.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.

Provides a Model Context Protocol interface for accessing Linear's issue tracking system, enabling users to query and search issues with TypeScript type safety and robust error handling.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

Enables an MCP-capable coding agent to run a local-first job search: recording verified opportunities in a private SQLite tracker, tracking follow-ups and outcomes, and preparing evidence-based resumes, application answers, and outreach drafts. It keeps all personal data on the user's machine and stops before submitting applications, uploading documents, or contacting anyone.

Enables AI assistants to interact with Targetprocess for search, create, update, and query of entities like User Stories and Bugs, with support for complex filters and data model discovery.

Enables filtered, read-only querying of a Notion audit trail and action queue as four native tools (filtered lists and single-row lookups), with enum parameters validated against the live database schema and errors that report allowed values. It never writes to Notion, returns flat JSON rows, and keeps the integration token server-side.

Enables interaction with ZenTao bug tracking system to search products, query assigned bugs, view bug details with extracted images, and mark bugs as resolved through natural language commands.

Enables managing tickets, projects, and iterations in the Pomavo system through natural language, supporting CRUD operations, state transitions, comments, linking, and search with a DSL query language.

Exposes internal employee directories and project management systems to AI models through standardized tools and resources. It enables AI assistants to search for team members, query project statuses, and explore organizational hierarchies with secure role-based access control.

Enables LLMs to query a local commitment ledger and knowledge base extracted from email, calendar, and meeting transcripts, allowing natural language search for facts, people, and open commitments, and suggesting closures with evidence.

Enables Claude Code to query, create, and modify Dooray tasks via natural language.

Enables AI agents to query live construction project data such as RFIs, submittals, budget variance, daily logs, punch lists, and inspection checklists.

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.

Wraps UOF (U-Office Force) SOAP/ASMX WebServices as MCP tools, enabling AI agents to perform enterprise workflow tasks like form query, application, approval, and case closure via Model Context Protocol.