---
title: "mcpc vs atlassian-mcp-server"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/apify-mcpc-vs-atlassian-atlassian-mcp-server"
tools: ["apify-mcpc", "atlassian-atlassian-mcp-server"]
---

# mcpc vs atlassian-mcp-server

*GraphCanon updated Jul 27, 2026*

## Verdict

Pick mcpc if mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities; pick atlassian-mcp-server if the atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1.

[mcpc](https://npmjs.com/package/@apify/mcpc) reports 733 GitHub stars, 66 forks, and 18 open issues, last pushed Jul 27, 2026. [atlassian-mcp-server](https://atlassian.com/platform/rovo-mcp) has 910 stars, 116 forks, and 71 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [mcpc's repository](https://github.com/apify/mcpc) and [atlassian-mcp-server's repository](https://github.com/atlassian/atlassian-mcp-server).

| | [mcpc](/tools/apify-mcpc.md) | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) |
| --- | --- | --- |
| Tagline | CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy. | Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens |
| Stars | 733 | 910 |
| Forks | 66 | 116 |
| Open issues | 18 | 71 |
| Language | TypeScript | JavaScript |
| Adopt for | mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities. | The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [mcpc](/tools/apify-mcpc.md) | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 18d |
| Open issues (now) | 18 | 71 |
| Full report | [trust report](/tools/apify-mcpc/trust.md) | [trust report](/tools/atlassian-atlassian-mcp-server/trust.md) |

## Decision facts: mcpc

- **Requirements:** Does not require Docker, can be integrated easily within environments without Docker support.
- **Adopt for:** mcpc is a CLI client for interacting with Model Context Protocol in TypeScript, providing support for persistent sessions, OAuth 2.1, task handling, JSON output, and proxy capabilities.
- **License detail:** Apache-2.0

## Decision facts: atlassian-mcp-server

- **Adopt for:** The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens.

## Choose when

### Choose mcpc if…

- mcpc is primarily TypeScript; atlassian-mcp-server is JavaScript.
- Requirements: Does not require Docker, can be integrated easily within environments without Docker support..
- Tags unique to mcpc: ai-agents, cli, command-line, mcp-client.
- mcpc ships an MCP server manifest.
- If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling.

### Choose atlassian-mcp-server if…

- atlassian-mcp-server is primarily JavaScript; mcpc is TypeScript.
- Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt.
- When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication

## When NOT to use mcpc

- In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative.
- If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these.

## When NOT to use atlassian-mcp-server

- If only generic third-party integrations without official Atlassian support are required
- For environments that do not allow OAuth 2.1 or API token-based authentication methods

## Common questions

### What is the difference between mcpc and atlassian-mcp-server?

mcpc: CLI client for MCP protocol with support for persistent sessions, OAuth, tasks, JSON output, and proxy.. atlassian-mcp-server: Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens. See the comparison table for live GitHub stats and shared categories.

### When should I choose mcpc over atlassian-mcp-server?

Choose mcpc over atlassian-mcp-server when mcpc is primarily TypeScript; atlassian-mcp-server is JavaScript; Requirements: Does not require Docker, can be integrated easily within environments without Docker support.; Tags unique to mcpc: ai-agents, cli, command-line, mcp-client; mcpc ships an MCP server manifest; If you require a command-line interface compatible with the Model Context Protocol to manage AI agents or workflows involving TypeScript code execution and task handling.

### When should I choose atlassian-mcp-server over mcpc?

Choose atlassian-mcp-server over mcpc when atlassian-mcp-server is primarily JavaScript; mcpc is TypeScript; Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt; When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication.

### When should I avoid mcpc?

In scenarios that specifically demand a graphical user interface over CLI, as mcpc solely offers terminal-based operations with no GUI alternative. If your project strictly uses languages other than TypeScript or has no need for the MCP protocol, considering mcpc's capabilities are built around these.

### When should I avoid atlassian-mcp-server?

If only generic third-party integrations without official Atlassian support are required For environments that do not allow OAuth 2.1 or API token-based authentication methods

### Is mcpc or atlassian-mcp-server more popular on GitHub?

atlassian-mcp-server has more GitHub stars (910 vs 733). Stars measure visibility, not whether either tool fits your constraints.

### Are mcpc and atlassian-mcp-server open source?

Yes - both are open-source projects on GitHub (mcpc: Apache-2.0, atlassian-mcp-server: Apache-2.0).

### Where can I find alternatives to mcpc or atlassian-mcp-server?

GraphCanon lists graph-backed alternatives at [mcpc alternatives](/tools/apify-mcpc/alternatives) and [atlassian-mcp-server alternatives](/tools/atlassian-atlassian-mcp-server/alternatives) ([mcpc markdown twin](/tools/apify-mcpc/alternatives.md), [atlassian-mcp-server markdown twin](/tools/atlassian-atlassian-mcp-server/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/apify-mcpc-vs-atlassian-atlassian-mcp-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, mcpc or atlassian-mcp-server?

mcpc: Very active. atlassian-mcp-server: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for mcpc and atlassian-mcp-server?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpc trust report](/tools/apify-mcpc/trust); [atlassian-mcp-server trust report](/tools/atlassian-atlassian-mcp-server/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=apify-mcpc`](/api/graphcanon/graph?tool=apify-mcpc)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
