Efficiently navigate large markdown files (2,000+ lines) without loading entire documents into context. Reduces token usage by 50-80% when working
Efficiently navigate large markdown files (2,000+ lines) without loading entire documents into context. Reduces token usage by 50-80% when working with
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| markdown_tree | |
| markdown_section_bounds | |
| markdown_read_section | |
| markdown_list_sections |
{
"mcpServers": {
"markdown-nav": {
"command": "mdnav-server"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Indexes any codebase into a structural knowledge graph — every dependency, call chain, cluster, and execution flow. Explore it through an interactive web dashboard with force-directed graph…
This demonstration project shows how to implement a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities. The demo allows AI models to interact with a knowledge…
This README provides detailed documentation for the AML Watcher MCP server configuration, focusing on the environment arguments used in the
Enable Large Language Model clients to interact seamlessly with any MediaWiki wiki. Perform action…