F
licenseNot graded
qualityD
maintenanceFacilitates note storage and summarization through custom URIs, allowing users to manage, summarize, and update notes with varying detail levels in a collaborative environment.
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Obenan MCP Server
by Azhar-obenan
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Obenan MCP Server add a note named 'meeting notes' with the content 'discussed project timeline and deliverables'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
obenan-mcp-server MCP server
obenan mcp server
Components
Resources
The server implements a simple note storage system with:
Custom note:// URI scheme for accessing individual notes
Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
summarize-notes: Creates summaries of all stored notes
Optional "style" argument to control detail level (brief/detailed)
Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
add-note: Adds a new note to the server
Takes "name" and "content" as required string arguments
Updates server state and notifies clients of resource changes
Related MCP server: browser-use MCP server
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development
Building and Publishing
To prepare the package for distribution:
Sync dependencies and update lockfile:
uv syncBuild package distributions:
uv buildThis will create source and wheel distributions in the dist/ directory.
Publish to PyPI:
uv publishNote: You'll need to set PyPI credentials via environment variables or command flags:
Token:
--tokenorUV_PUBLISH_TOKENOr username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /Users/AhmedUmerAnees/code/obenan-mcp-server run obenan-mcp-serverUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Available Tools
4 toolsfetch_my_locationsC
Fetch locations from Obenan API using the access token
Inputs: access_token, group_id.
get_location_detailsC
Get detailed information about a specific location by ID
Inputs: location_id (required), access_token.
review_analyzerC
Analyze reviews using the Obenan Review Analyzer API
Inputs: prompt (required).
search_locations_by_nameB
Search for locations containing a specific name and allow selection to get details
Inputs: search_term (required), access_token.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
B3.2/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: fetch_my_locations retrieves all locations, get_location_details provides details for a specific location, review_analyzer analyzes reviews, and search_locations_by_name searches by name. The descriptions clearly differentiate these functions, making tool selection unambiguous.
Naming Consistency4/5
The naming is mostly consistent with a verb_noun pattern (fetch_my_locations, get_location_details, search_locations_by_name), but review_analyzer deviates slightly by using a noun_verb structure. This minor inconsistency does not significantly impact readability or predictability.
Tool Count5/5
With 4 tools, this server is well-scoped for managing locations and reviews. Each tool serves a distinct and necessary function, and the count is appropriate for the domain without being too sparse or bloated.
Completeness4/5
The toolset covers core operations for location management (fetch, get details, search) and review analysis, but there are minor gaps such as missing CRUD operations for locations (e.g., create, update, delete) and reviews. However, agents can work effectively with the provided tools for basic workflows.
Related MCP Connectors
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
Save, search and edit your private notes by talking to your AI assistant.
Create and read text notes at memorable links like sharenotes.dev/blue-fox-42. No key, no account.
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