"Mock Service Worker" matching MCP servers:

Enables Claude to create local, persistent mock REST APIs on demand from plain-language descriptions, with data written to disk so it survives restarts.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Enables delegating asynchronous coding tasks and DAG workflows to local Oh My Pi (OMP) CLI sub-agents, with topological orchestration, path isolation, and supervised resumption.

Delegate coding tasks to external AI coding agents in isolated git worktrees with independent verification, enabling any MCP client to orchestrate multi-agent workflows.

An MCP server that turns Zod schemas into mocks, violations, and contract tests, enabling AI agents to reason about API contracts without manually crafting payloads.

MCP server for portable reputation and skills passports in East Africa — worker profiles, verified service records, trust scores, and professional references for economic mobility. 6 tools.

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.

An MCP server that provides live weather data over stdio, with tools for current conditions, 5-day forecasts, and US weather alerts.

Enables an MCP client to generate synthetic Workday test data by searching for a template worker, cloning their job and organization context, and creating a fresh fake identity. It exposes separate tools for search, template lookup, identity generation, and a human-approved Workday Hire_Employee submission against a local mock tenant.

MCP server that enables a coordinator AI agent to spawn, control, and supervise local coding agents with interactive gating for high-risk operations.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables centralized management and monitoring of multiple distributed worker MCP servers. Provides tools to list workers, get status of all workers, and query specific worker status.

Delegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

A zero-dependency mock MCP server for testing MCP clients and harnesses, with configurable tools and canned responses.

A universal Worker control plane exposed over MCP that lets a host configure OpenAI-compatible providers and API keys, discover model capabilities, and run, monitor, steer, or cancel Codex worker threads. It ships an app-only control panel so humans manage secrets and worker permissions while models call worker lifecycle tools.

Local MCP server for a personal AI Council that routes tasks through manager, worker, critic, synthesizer, and archivist agents with fast/review/full paths, using SQLite memory and supporting mock, Ollama, and OpenRouter providers.