"Accessing Jira Tickets and Updating Their State" matching MCP servers:

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Runs, tests and edits the saved HTTP requests in a Kurlo API workspace (Git-backed YAML): list collections and environments, send requests with their auth and pm.* tests, write new requests and tests, and diagnose the last failure. Secret values are sent to the API but masked in every tool result, and protected environments are refused.

API client for coding agents. Sends saved HTTP, GraphQL and gRPC requests, runs collections with their checks, and creates or edits requests over stdio or loopback HTTP, with secret values redacted and calls limited to an allowlist of hosts.

An MCP server for interacting with MockServer, enabling AI assistants to create mock HTTP expectations, verify requests, clear state, and manage MockServer instances programmatically.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Enables AI agents to read realistic, coherent data—repos, pull requests, issues, commits, users—through API-compatible, read-only replicas of 21 developer platforms including GitHub, Jira, Linear, Slack, Sentry and Salesforce, all preloaded with one simulated company so integrations can be built and tested with no accounts, credentials, rate-limit worry, or cleanup.

A lightweight MCP server that lets coding agents manage a local or remote WireMock instance through the WireMock Admin API, providing tools for creating, updating, deleting, and inspecting mock mappings and request journal entries.

Integrates XAPIHub API services with the Cursor IDE to enable user authentication, real-time data fetching, and connection diagnostics. It allows developers to interact with their XAPIHub organization and manage user details directly through natural language commands.

Lets AI assistants inspect test run results, AI QA reports, and findings with their full evidence, and, when asked, start runs, re-run only failed tests, import API specs, or scan a website. Read-only tools are free, while work-starting tools consume the workspace's allowance and report usage limits.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

The Joomla MCP Server facilitates interaction between AI assistants (like Claude) and Joomla websites through the Joomla Web Services API. It provides tools to manage articles, including retrieving, creating, updating, and deleting content, as well as managing article states.

A Python-based Model Context Protocol server that integrates with Claude Desktop, allowing users to connect to Hubble API services by configuring the server with their Hubble API key.

Bridges stdio-only MCP clients to the hosted service and forwards its tools unchanged, letting users check whether their server is ready for MCP directories and get it submitted. Discovery and readiness checks work anonymously, while account-specific servers and submissions require an API key.

An MCP (Model-Controller-Processor) server for accessing League of Legends client data. This server provides a collection of tools that communicate with the League of Legends Live Client Data API to retrieve in-game data.

An MCP server for Apidog that enables listing projects, inspecting API trees, creating modules and folders, and adding or updating requests without manual configuration.

Enables remote-only interaction with the mailery.co hosted HTTPS API via CLI, MCP, and SDK, without running a local mail server or accessing a database/provider account.

Enables coding agents to run local simulators of real APIs, load scenarios, seed records, move clocks, inspect state and outbound effects, diff changes, and save runs as regression tests.

Enables MCP clients to connect over stateless Streamable HTTP or stdio, use an example time-zone tool with typed schemas and error handling, and validate deployed endpoints with a preflight checker.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

This MCP server is a zero-config CLI tool that lets developers tap into any stdio-based MCP server from their terminal, enabling them to list tools/resources/prompts, call tools with JSON arguments, and health-check servers without requiring a full AI client or browser setup.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

Exposes FastAPI API-key management and request-making routes as MCP tools, enabling users to manage and interact with their APIs via Claude.