jira-full-mcp
A local MCP server for administering Atlassian Cloud Assets and Jira, providing hundreds of tools for schemas, projects, workflows, and more.
README
jira-full-mcp
A local, Python MCP server for administering Atlassian Cloud (Assets + Jira) from Claude Code. It complements the official plugin:atlassian:atlassian (issues/comments) with capabilities it doesn't have: Assets (schemas / object types / attributes / objects / AQL / bulk import / declarative apply) and Jira admin (projects / issue types / fields / workflows / statuses / screens / permission-notification-priority-security schemes / boards / sprints / epics). Issue CRUD is intentionally NOT covered — use the official plugin:atlassian for that.
Status: v0.2.2 released — 379 MCP tools (Assets + Jira), 2651 unit tests, clean mypy --strict + ruff, live-verified against a real workspace. Phases 1-6 complete. See CHANGELOG.md.
Documentation
| Doc | About |
|---|---|
CLAUDE.md |
Loaded first in a new Claude session — hard rules, quality gates, file map, gotchas |
docs/installation.md |
Install from source + register in Claude Code + verify |
docs/authentication.md |
API tokens, two-site setup, 401/403 troubleshooting, permissions |
docs/architecture.md |
Layers (core/models/api/services/tools), envelope, production guard, how to add a resource |
docs/troubleshooting.md |
Symptom → cause → fix; rate-limit, 4xx, AQL, multipart, async polling |
docs/tools_reference.md |
Auto-generated reference of all 379 MCP tools with signatures and docstrings |
docs/conventions.md |
ADRs (destructive scope, production guard scope, file-path security) |
docs/recipes/ |
Step-by-step Claude Code workflows |
CHANGELOG.md |
Release history (Keep-a-Changelog) |
Quick start
You run the server from a local clone. Six steps:
1. Install prerequisites — Python 3.11+ and uv:
# macOS
brew install uv
# Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Clone and install dependencies. Pick a permanent folder (NOT inside a project you
might delete) — we recommend ~/mcp-servers/:
mkdir -p ~/mcp-servers && cd ~/mcp-servers
git clone https://github.com/denisglazkov/jira-full-mcp.git
cd jira-full-mcp
make install
3. Create an Atlassian API token — use "Create API token" (classic), NOT "with scopes": https://id.atlassian.com/manage-profile/security/api-tokens
4. Add your credentials:
cp .env.example .env
Open .env and fill in the three ASSETS_* values (domain / email / token). For Jira admin
features (projects, workflows, boards, …) also fill in the JIRA_* values. Full guide:
docs/authentication.md.
5. Register in Claude Code — run this from the clone directory (where you are after step 2).
$(pwd) fills in the absolute path for you, so there is nothing to edit by hand:
claude mcp add jira-full-mcp -s user -- uv run --directory "$(pwd)" python -m jira_mcp
-s user makes it available in every project. Verify with claude mcp list.
<details> <summary>Prefer to edit the config by hand? (optional)</summary>
Add this to ~/.claude/settings.json, replacing /absolute/path/to/jira-full-mcp with the
clone's absolute path (e.g. /Users/you/mcp-servers/jira-full-mcp) — full path, not ~:
{
"mcpServers": {
"jira-full-mcp": {
"command": "uv",
"args": ["run", "--directory", "/absolute/path/to/jira-full-mcp", "python", "-m", "jira_mcp"],
"env": {}
}
}
}
</details>
6. Fully restart Claude Code (quit completely — Cmd+Q on macOS — not just close the window).
Then run /mcp: you should see jira-full-mcp with ~379 tools.
Full step-by-step walkthrough: docs/installation.md.
Recipes
| # | Recipe | What it covers |
|---|---|---|
| 01 | Create schema from scratch | Manual schema with OTs, attrs, references |
| 02 | Attribute types cheatsheet | All attribute types with examples |
| 03 | Bulk import from CSV | CSV → mapping JSON → 100+ objects |
| 04 | Apply declarative SchemaDefinition | Idempotent JSON-driven schemas |
| 05 | AQL queries cheatsheet | 12 AQL search patterns |
| 06 | Clone schema for staging | Back up prod → apply to a staging workspace |
Jira admin (Phase 2-6)
All Jira recipes operate only on test resources (project key JMT*,
names __test_jiramcp_*); production projects (e.g. MYPROJ) are blocked by the
production guard. Each recipe ends with a cleanup step.
| # | Recipe | What it covers |
|---|---|---|
| 07 | Jira project bootstrap | Project → components → versions → role actor → property (Phase 2) |
| 08 | Custom workflow (draft→publish) | Safe draft→publish flow for an active scheme (Phase 3) |
| 09 | Issue types & screens | ITS + screen + screen scheme + ITSS → assign (Phase 2+4) |
| 10 | Permission & security schemes | Permission / notification / issue security schemes (Phase 5) |
| 11 | Scrum board & sprints | Board + sprint lifecycle create→start→complete (Phase 6, Agile) |
Development
make check # ruff + mypy --strict (on src/)
make test # unit tests (no network, ~2651 tests)
make test-integration # requires ASSETS_INTEGRATION_TESTS=1 / JIRA_INTEGRATION_TESTS=1
make serve # run the MCP server locally (for debugging)
# Auto-generated artefacts
make docs-tools # regenerate docs/tools_reference.md
make docs-tools-check # CI: fail if stale
# API coverage
make api-spec-fetch # download the latest Atlassian Assets OpenAPI
make api-coverage # check spec vs implementation (≥75% gate)
Pre-commit hooks (ruff format/lint + mypy) are installed once:
uv run pre-commit install
Status
- v0.2.2 — released 2026-06-01. In-schema AQL/JQL syntax cheatsheets in tool descriptions — no new tools. See
CHANGELOG.md. - v0.2.1 — released 2026-06-01. MCP-conformance + safety hardening (tool annotations, server instructions, typed parameter schemas) — no new tools. See
CHANGELOG.md. - v0.2.0 — released 2026-05-30. Phases 1-6 complete. 379 MCP tools, 1775 unit tests. See
CHANGELOG.md. - Phase 1 (Assets): schemas / object types / attributes / objects / AQL / bulk import / declarative apply / backup. ~83 tools.
- Phase 2-6 (Jira admin): projects + issue types + fields (Phase 2) · workflows + statuses + schemes (Phase 3) · screens + ITSS (Phase 4) · permission/notification/priority/issue-security schemes + identity (Phase 5) · boards + sprints + epics (Phase 6). ~296
jira_*tools. - Safety: the production guard (e.g.
MYPROJ, configurable viaJIRA_PRODUCTION_PROJECT_KEYS) runs on all scheme/project mutations — server-side, cannot be bypassed via a numeric id; issue CRUD is not covered by design.
Performance
Bulk import / batch operations:
| Batch size | Wall-clock | Throughput | p95 latency |
|---|---|---|---|
| 100 objects | TBD after the first make benchmark |
— | — |
| 500 objects | TBD | — | — |
| 1000 objects | TBD | — | — |
Numbers will be filled in after running make benchmark against a real Atlassian Cloud instance. The Atlassian-side rate limit is ≈ 1000 req/min.
Contributing
Issues and PRs welcome via GitHub. Any contribution must:
- Pass
make check(ruff + mypy --strict). - Be covered by unit tests (
make test). - Not violate the MCP stdio invariant (logs to stderr).
- Honor the envelope contract (tools never raise).
License
MIT — see pyproject.toml.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
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.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.