io.github.rusty4444/shiori-mcp
Shiori MCP
Is the Shiori MCP server down? No. Installed with mcp<2, it started and listed its tools on 2026-11-01.
MCP server for Shiori bookmark management and tag workflows.
needs mcp<2 probed 2026-11-14 · unchanged since 2026-11-01
A plain install of the package stops at the import below. These tool definitions are from a second install with mcp<2, started in a container with the network off, on 2026-11-01.
MCP error -32000: Connection closed ModuleNotFoundError: No module named 'mcp.server.fastmcp'. This is mcp 2.x, where FastMCP was renamed to MCPServer (from mcp
- Run it
- uvx --with 'mcp<2' shiori-mcp@0.1.0 (stdio, probed in a container with the network off)
- Host
- pypi.org
- Reports itself as
- shiori-mcp 1.30.0
- Capabilities
- experimental, prompts, resources, tools
- Repository
- https://github.com/rusty4444/shiori-mcp
- Website
- https://github.com/rusty4444/shiori-mcp
- Registry
- active, updated 2026-05-18 · registry entry
- Changes
- 2 recorded, reachable in 0 of them. A row is added when the result, the tool count or the cost changes.
Most expensive tools
Estimates with the o200k_base tokenizer.
| Tool | o200k estimate | Share of this server |
|---|---|---|
| shiori_add_bookmark | 240 | 18 % |
| shiori_update_bookmark_fields | 236 | 18 % |
| shiori_search_bookmarks | 168 | 13 % |
| shiori_list_bookmarks | 94 | 7 % |
| shiori_update_bookmark | 94 | 7 % |
Compare this server with others.
More servers
Other registry entries on pypi.org, the ones next to this name; all of them.
- xlsx-tools-mcp io.github.ruriazz/xlsx-tools-mcp · needs env
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- ChangeDetection.io MCP Server io.github.rusty4444/changedetection-mcp · needs mcp<2
- Hermes Grocy MCP io.github.rusty4444/hermes-grocy-mcp · needs mcp<2
- wallabag MCP io.github.rusty4444/wallabag-mcp · needs mcp<2
- io.github.rwestergren/cronometer-api-mcp · install failed
- io.github.rwestergren/inbody-api-mcp · install failed
- io.github.rwestergren/rachio-mcp · install failed
Servers that mention management or workflows.
- ac.tandem/docs-mcp · alive
- Teamwork ai.b77/teamwork · needs auth
- China Marketing AI Intelligence MCP ai.chinamarketing/intelligence · needs auth
- Cirra AI Salesforce Admin MCP Server ai.cirra/salesforce-mcp · needs auth
- Contabo (VPS) MCP Server ai.com.mcp/contabo · alive
- Contio MeetingOS ai.contio/meetingos · needs auth
- Tailscale RMCP ai.dinglebear/rtailscale · needs auth
- Divinci AI ai.divinci/divinci · needs auth
History
We add a row when the result changes. A server with no change keeps its last row.
| Probed | Result | Init | Tools | Claude | o200k |
|---|---|---|---|---|---|
| 2026-11-01 08:18 | needs mcp<2 | 1.7 s | 13 | 2.6k | 1.3k |
| 2026-10-18 06:43 | crashed on start |
Badge for the README
The result of the latest probe, the tool count and the token cost. The feed has an entry for every probe that changed them.
A mail when this server changes
Stops answering, comes back, tool set or cost changes. One confirmation mail first, a stop link in every mail.
For the publisher
- The package imports FastMCP from mcp.server.fastmcp. mcp 2.0, the Python SDK of 28 July 2026, renamed FastMCP to MCPServer, and the package asks for mcp with no upper bound, so a plain install (uvx, pip) gets mcp 2.x and the server stops at the import. Installed with mcp<2, it starts and lists its tools. The fix for the publisher: pin mcp<2 in the dependencies, for example mcp>=1.2,<2, and publish a new version, or move to MCPServer as the SDK's migration guide says. Until then, run it with uvx --with 'mcp<2'.
The cause and the fix, with the code before and after: ModuleNotFoundError: No module named 'mcp.server.fastmcp'