"Jira" matching MCP servers:

MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.

Local knowledge store built from your GitHub, Jira, Linear and cloud history. Read, write and refresh it from any MCP client.

Enables MCP clients such as Claude Code and Cursor to search a team's Confluence architecture decision records, check a planned change or Jira issue against past decisions before picking a library, datastore, or API style, and record new decisions that can supersede older ones.

Enables agents to fetch public URLs as noise-free Markdown (via Jina Reader with a local HTML fallback) protected by SSRF and indirect prompt-injection defenses, while capturing each article's hook, heading rhythm, and sentence-ending style as a reusable writing recipe in a local DuckDB style vault so that recipe can later drive automated manuscript generation.

Self-hosted MCP gateway that connects productivity tools like Jira, Confluence, and Obsidian to AI assistants via a single endpoint.

Automatically provides AI agents with proven instructions and past failure warnings for common tasks like deployment, auth, and payments, enabling flawless execution without manual configuration.

Local-first dev memory: indexes Git commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into a local SQLite/FTS5/ONNX index, and exposes them as MCP tools so Claude Code, Cursor, and Codex can search and cite your past work.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira.

Universal documentation knowledge-graph MCP server with hybrid full-text + vector search. Indexes local files and remote sources from Notion, Jira, Obsidian, Linear, GitHub, and Confluence into a single SQLite knowledge graph, exposing it to AI agents via the Model Context Protocol.

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Provides a local, agent-maintained product context layer over MCP, serving structured strategy, competitor, customer feedback, and feature inventory data to any AI tool such as Claude, Cursor, or ChatGPT, with local data storage, bring-your-own-LLM support, and weekly evidence-based roadmap reviews that can sync suggestions to Jira or Linear.