MCP Server Atlassian Confluence vs Sheets MCP
A side-by-side look at the MCP Server Atlassian Confluence and Sheets MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Server Atlassian Confluence for workplace & productivity work as a local process; choose Sheets MCP for workplace & productivity as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Server Atlassian Confluence when
- You need dedicated capabilities in the Workplace & Productivity domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
ATLASSIAN_SITE_NAME, ATLASSIAN_USER_EMAIL, ATLASSIAN_API_TOKEN. - You want tools like
conf_get, conf_post, conf_put.
Choose Sheets MCP when
- You need dedicated capabilities in the Workplace & Productivity domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: OAuth 2.0.
- You want tools like
google_accounts, find_spreadsheet, create_spreadsheet.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Workplace & Productivity | Workplace & Productivity |
| Quality signal | 64/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | OAuth 2.0 |
| Pricing | BYOK (pay the provider) | Free |
| Required env vars | ATLASSIAN_SITE_NAMEATLASSIAN_USER_EMAILATLASSIAN_API_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 62 | 35 |
| Directory activity | 4 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 5 | 29 |
| Full listing | View MCP Server Atlassian Confluence | View Sheets MCP |
Tools & capabilities
MCP Server Atlassian Confluence tools 5
conf_getRead any Confluence data. Returns TOON format by default (30-60% fewer tokens than JSON). **IMPORTANT - Cost Optimization:** - ALWAYS use `jq` param to filter response fields. Unfiltered responses are very expensive! - Use `limit` query param to restrict result count (e.g., `limit: "5"`) - If unsure about available fields, first fetch ONE item with `limit: "1"` and NO jq filter to explore the schema, then use jq in subsequent calls **Schema Discovery Pattern:** 1. First call: `path: "/wiki/api/v2/spaces", queryParams: {"limit": "1"}` (no jq) - explore available fields 2. Then use: `jq: "results[*].{id: id, key: key, name: name}"` - extract only what you need **Output format:** TOON (default, token-efficient) or JSON (`outputFormat: "json"`) **Common paths:** - `/wiki/api/v2/spaces` - list spaces - `/wiki/api/v2/pages` - list pages (use `space-id` query param) - `/wiki/api/v2/pages/{id}` - get page details - `/wiki/api/v2/pages/{id}/body` - get page body (`body-format`: storage, atlas_doc_format, view) - `/wiki/rest/api/search` - search content (`cql` query param) **JQ examples:** `results[*].id`, `results[0]`, `results[*].{id: id, title: title}` API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/conf_postCreate Confluence resources. Returns TOON format by default (token-efficient). **IMPORTANT - Cost Optimization:** - Use `jq` param to extract only needed fields from response (e.g., `jq: "{id: id, title: title}"`) - Unfiltered responses include all metadata and are expensive! **Output format:** TOON (default) or JSON (`outputFormat: "json"`) **Common operations:** 1. **Create page:** `/wiki/api/v2/pages` body: `{"spaceId": "123456", "status": "current", "title": "Page Title", "parentId": "789", "body": {"representation": "storage", "value": "<p>Content</p>"}}` 2. **Create blog post:** `/wiki/api/v2/blogposts` body: `{"spaceId": "123456", "status": "current", "title": "Blog Title", "body": {"representation": "storage", "value": "<p>Content</p>"}}` 3. **Add label:** `/wiki/api/v2/pages/{id}/labels` - body: `{"name": "label-name"}` 4. **Add comment:** `/wiki/api/v2/pages/{id}/footer-comments` API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/conf_putReplace Confluence resources (full update). Returns TOON format by default. **IMPORTANT - Cost Optimization:** - Use `jq` param to extract only needed fields from response - Example: `jq: "{id: id, version: version.number}"` **Output format:** TOON (default) or JSON (`outputFormat: "json"`) **Common operations:** 1. **Update page:** `/wiki/api/v2/pages/{id}` body: `{"id": "123", "status": "current", "title": "Updated Title", "spaceId": "456", "body": {"representation": "storage", "value": "<p>Content</p>"}, "version": {"number": 2}}` Note: version.number must be incremented 2. **Update blog post:** `/wiki/api/v2/blogposts/{id}` Note: PUT replaces entire resource. Version number must be incremented. API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/conf_patchPartially update Confluence resources. Returns TOON format by default. **IMPORTANT - Cost Optimization:** Use `jq` param to filter response fields. **Output format:** TOON (default) or JSON (`outputFormat: "json"`) **Common operations:** 1. **Update space:** `/wiki/api/v2/spaces/{id}` body: `{"name": "New Name", "description": {"plain": {"value": "Desc", "representation": "plain"}}}` 2. **Update comment:** `/wiki/api/v2/footer-comments/{id}` Note: Confluence v2 API primarily uses PUT for updates. API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/conf_deleteDelete Confluence resources. Returns TOON format by default. **Output format:** TOON (default) or JSON (`outputFormat: "json"`) **Common operations:** - `/wiki/api/v2/pages/{id}` - Delete page - `/wiki/api/v2/blogposts/{id}` - Delete blog post - `/wiki/api/v2/pages/{id}/labels/{label-id}` - Remove label - `/wiki/api/v2/footer-comments/{id}` - Delete comment - `/wiki/api/v2/attachments/{id}` - Delete attachment Note: Most DELETE endpoints return 204 No Content on success. API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/
Sheets MCP tools 29
google_accountsManage the Google accounts Sheets MCP can use. list: show signed-in accounts and the default. add: sign in to a Google account (opens a browser sign-in; also use this when a sign-in has expired). remove: sign an account out and revoke access. set_default: choose the account used for new spreadsheets.find_spreadsheetFind a spreadsheet by name among the ones the user has opened or created with Sheets MCP before (the list is kept on their computer). Use it when the user names a sheet instead of pasting a link, e.g. "my budget sheet". It can't search the rest of their Google Drive: if nothing matches, ask for the link. Leave query empty to list the most recent.create_spreadsheetCreate a new Google Sheets spreadsheet.get_spreadsheet_infoGet a spreadsheet's title, tabs (sizes, frozen rows/cols), charts (ids, types, data ranges), named ranges, and the first few rows of each tab. Call this first to understand a sheet's layout.read_rangeRead cell contents from a range, or its formatting with mode "formats". Large ranges are truncated; use next_range to continue.read_rangesRead several ranges in one call, across any tabs. Faster than calling read_range repeatedly. Each range is truncated to its share of max_cells; use its next_range with read_range to continue.write_rangeWrite values and/or formulas starting at the top-left cell of the range. Input is parsed like typing into the UI (formulas, dates, percentages work). Previous contents are saved for undo_last. Returns any formula errors found after writing.fill_rangeFill cells from a source block, like dragging the fill handle or pasting onto a bigger selection: the source's formulas (relative references shift), values and formatting repeat across the destination. Use it after writing one row or column of formulas to extend them across a table, instead of sending every column. With continue_series, patterns continue instead (1, 2, 3 → 4, 5, 6; Jan → Feb; dates). The destination's previous contents are saved for undo_last. Returns any formula errors found after filling.append_rowsAppend rows after the last row of data in a table (detected from the given range or tab).clear_rangeClear values and formulas in a range (formatting is kept). Previous contents are saved for undo_last.find_replaceFind and replace text across a tab or the whole spreadsheet. Not undoable - consider read_range first.undo_lastUndo the most recent write_range, append_rows, or clear_range made through this server (restores values/formulas only, not formatting or structure). History is kept in memory until the server restarts.- +17 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Server Atlassian Confluence
{
"mcpServers": {
"aashari-mcp-server-atlassian-confluence": {
"command": "npx",
"args": [
"-y",
"@aashari/mcp-server-atlassian-confluence"
],
"env": {
"ATLASSIAN_SITE_NAME": "YOUR_ATLASSIAN_SITE_NAME_HERE",
"ATLASSIAN_USER_EMAIL": "YOUR_ATLASSIAN_USER_EMAIL_HERE",
"ATLASSIAN_API_TOKEN": "YOUR_ATLASSIAN_API_TOKEN_HERE"
}
}
}
}
Sheets MCP
{
"mcpServers": {
"sheets-mcp": {
"command": "npx",
"args": [
"-y",
"@sheetsmcp/server"
]
}
}
}
Frequently asked questions
MCP Server Atlassian Confluence is categorized under Workplace & Productivity and uses a local stdio subprocess. Sheets MCP belongs to Workplace & Productivity and uses a local stdio subprocess. Pick MCP Server Atlassian Confluence for workplace & productivity work and Sheets MCP for workplace & productivity.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Server Atlassian Confluence is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Sheets MCP is listed as free. Auth: oauth 2.0. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add aashari-mcp-server-atlassian-confluence and sheets-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Server Atlassian Confluence has a quality signal of 64/100 (Good) with 4 views, 0 installs and 62 GitHub stars. Sheets MCP has 68/100 (Great) with 5 views, 0 installs and 35 GitHub stars.