"Integration solutions for connecting Basecamp with Jira" matching MCP servers:

An MCP server that exposes a curated database of generative AI tools as four tools an AI assistant can query directly, enabling searches without relying on model knowledge.

A clean, reliable Model Context Protocol server for Jira integration, enabling issue management, search, and more via natural language.

MCP server for NodeBB forums that enables AI assistants to access forum data, search topics, and perform semantic search via the Model Context Protocol.

MCP server that connects AI assistants to your Jira site, supporting PAT or SSO authentication for search, read, create, update, and delete operations on issues.

An MCP server that enables communication with Jira, allowing users to perform operations like getting, searching, creating, and editing issues through natural language interaction.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

Connects Jira projects to AI assistants, enabling natural language queries to view, search, and filter stories with real-time access to descriptions, comments, status, and metadata without leaving your development environment.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

MCP server that encapsulates Apple Mail on macOS via AppleScript, enabling invoice PDF search, attachment saving, and message flagging through natural language.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.

Enables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables interaction with an AI assistant powered by GPT-4o that can answer queries and fetch real-time web search data via Serper API.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.