"ClawdBot Worker - Bot or Worker Service Information" matching MCP servers:

Enables Codex to delegate bulk code reading, patching, and testing to an async worker using cheaper AI models, while receiving compact results.

Enables AI agents to test WCF/SOAP and REST services directly, with WSDL discovery, authenticated calls, and deterministic assertions. Supports YAML multi-step scenarios with variable extraction, JSONPath/JSON Schema checks, and CI runs without spawning PowerShell or curl.

It enables AI agents and CI to run profile-driven SOAP/REST service tests with automatic login/session handling, test-customer locking, masked transaction-log/HAR catalog import, and cross-environment scenario execution.

Enables AI agents to test Telegram bots by driving the official Telegram Web client in a real browser, allowing visual verification of bot responses, inline keyboards, and Mini Apps.

MCP server for Jama Connect that brings requirements, traceability, tests, and baselines into MCP clients like Claude, Cursor, VS Code, or GitHub Copilot, with access control, audit trail, and rate limiting. It provides 53 tools across 8 individually enableable toolsets, with an admin dashboard for managing access and usage.

Enables automated WCAG 2.2 AA accessibility audits of Figma designs and webpages. Generates detailed markdown reports with severity-grouped violations, specific criterion references, and concrete fix recommendations.

Enables AI coding agents to autonomously interact with, test, click inline buttons on, and verify Telegram bots end-to-end via MTProto.

Enables interaction with Gremlin's reliability management APIs to monitor service dependencies, run reliability experiments, generate reliability reports, and manage chaos engineering tests through natural language queries.

Enables a stateless, horizontally scaled MCP server using the 2026-07-28 specification, with tools for load testing and instance-aware operations.

Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.

Provides echo tools for testing MCP protocol functionality with message echoing, delayed responses, and JSON data analysis capabilities.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables AI agents and assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, with a WebSocket bridge that applies handler changes without restarting or reloading the application.

Enables AI agents and MCP clients to dynamically add, update, and remove Mock Service Worker network mocks via MCP tools, including live handler updates without restarting the application source code.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools without restarting the application. It also supports scaffolding MSW setup and managing browser-connected mocking sessions via a WebSocket bridge.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, without restarting the application source code.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, using a WebSocket bridge to live browser sessions and a setup prompt that scaffolds the MSW integration. Changes apply without restarting the application or editing its source.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, including scaffolding project setup. Changes take effect in the running browser app without restarting the application source code.

Enables AI agents to scaffold and dynamically manage Mock Service Worker network mocks through MCP tools, adding, updating, or removing handlers without reloading the page or restarting application code.