The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Claude Desktop
Claude Code
Cursor
Add to claude_desktop_config.json:
{
"mcpServers": {
"jdocmunch-mcp": {
"command": "uvx",
"args": [
"jdocmunch-mcp"
]
}
}
}📋 Copy
Run in terminal:
claude mcp add jdocmunch-mcp uvx jdocmunch-mcp📋 Copy
Add to .cursor/mcp.json:
{
"mcpServers": {
"jdocmunch-mcp": {
"command": "uvx",
"args": [
"jdocmunch-mcp"
]
}
}
}📋 Copy
Or install with pip: pip install jdocmunch-mcp
README Excerpt
<!-- mcp-name: io.github.jgravelle/jdocmunch-mcp --> Most AI agents still explore documentation the expensive way: open file → skim hundreds of irrelevant paragraphs → open another file → repeat That burns tokens, floods context windows with noise, and forces models to reason through a lot of text they never needed in the first place.
Tools (20)
ANTHROPIC_API_KEY DOC_INDEX_PATH GITHUB_TOKEN GOOGLE_API_KEY JDOCMUNCH_EMBEDDING_PROVIDER JDOCMUNCH_SHARE_SAVINGS JDOCMUNCH_ST_MODEL OPENAI_API_KEY delete_index get_broken_links get_doc_coverage get_document_outline get_section get_section_context get_sections get_toc get_toc_tree index_local index_repo init
Topics
claude claude-code docs documentation llm markdown mcp mcp-server token-efficient