Works with the AI Agents you already use
NextFlows MCP Server
Connect local markdown notes to AI agents via MCP for searching, reading, and writing documentation.
$15
NextFlows MCP Server
Example session with this skill installed
List my current notes and tell me what is inside 'api-endpoints.md'.
- Read your context and instructions
- Compiled the nextflows mcp server
I have successfully scanned your workspace via the
NextFlows MCP server, listed your active documents, and retrieved the requested file content instantly.
📂 Workspace Document Access
| Filename | Last Modified | Status |
|---|---|---|
api-endpoints.md | 2023-10-24 | 🟢 Read Successful |
setup-guide.md | 2023-10-20 | ⚡ Indexed |
todo-list.md | 2023-10-25 | ⚡ Indexed |
architecture.md | 2023-10-15 | ⚡ Indexed |
📄 Content of api-endpoints.md
# API Endpoints Documentation
## Authentication
- POST `/auth/login`: Accepts email and password. Returns JWT.
- POST `/auth/refresh`: Refreshes expired tokens.
## User Management
- GET `/users/profile`: Returns current user data. Requires Bearer token.
- PATCH `/users/profile`: Updates user preferences.
## Notes Engine
- GET `/notes`: Lists all user notes.
- POST `/notes`: Creates a new entry.
Connects securely to your tools. The creator never sees your data.
About this skill
Managing local documentation often involves context switching between your IDE and a notes app. This skill connects your local workspace notes directly to AI agents using the Model Context Protocol (MCP). It allows your agent to query, read, and modify markdown documents without manual copy-pasting.
What it does
- List documents Retrieve a full inventory of markdown files within your local workspace.
- Search notes Execute keyword searches to find specific information across your local file library.
- Read content Access the full text of any local markdown file for analysis or summarization.
- Write notes Generate and save new markdown documents directly to your local data directory.
- Delete files Remove outdated or unnecessary notes from your workspace via agent commands.
How it works
- Configure Edit your
claude_desktop_config.jsonusing the provided template to point to the local server. - List Ask the agent to show you what files are available in your directory.
- Query Provide a topic or keyword for the agent to search across your local knowledge base.
- Modify Direct the agent to update files or create new documentation based on your session.
Frameworks & tools
Built for Node.js environments and compatible with MCP-enabled clients like Claude Desktop, Cursor, and GitHub Copilot.
Why this beats prompting it yourself
Standard agents cannot access your local file system without manual uploads. This skill provides a secure, structured bridge that enables real-time document CRUD operations and search indexing.
Use cases
- Personal Knowledge Management Query your local Zettelkasten or second brain during coding sessions.
- Documentation Drafting Automatically save code explanations or meeting summaries as local markdown files.
- Contextual Search Locate specific logic explanations hidden in your project notes.
Known limitations
Requires Node.js installed locally. Only interacts with markdown files in the designated data directory.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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