"Using Jira MCP API in Python" matching MCP servers:

Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.

Jira Cloud MCP server providing Jira-first tools for common workflows and full REST API coverage through a generic request tool.

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.

Official MCP server for the Perplexity API Platform, enabling AI assistants to perform real-time web search, reasoning, and deep research using Sonar models.

IP Geolocation MCP server using IP2Location.io API to ease the query of geolocation information.

Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.

MCP server for B2B lead generation and company search using the Generect Live API. Provides tools to search leads, companies, generate emails, and get lead by URL.

Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.

Exposes OpenAPI/Swagger API documentation as MCP tools, enabling AI agents to search, inspect, and call API endpoints through natural language.

MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.

Code Mode MCP server for the OVH API. Two tools (search + execute) give LLMs access to all OVH endpoints via sandboxed JavaScript.

Access French geographic data from IGN (Institut national de l'information géographique et forestière) including cadastral parcels, agricultural land registry, protected natural areas, urban planning zones, and wine appellations through natural language queries.

Enables AI agents to search and browse a curated catalog of 330+ third-party APIs and MCP servers using tools like search_apis, get_api, get_reviews, and list_categories, with no API key required.

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.

Enables Claude AI and other MCP clients to interact with Jira Server/Data Center through tools like listing issues, logging work, and updating issues, requiring user confirmation for write operations.

Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.