Marten Docs MCP Server

Marten Docs MCP Server

Local MCP server for focused Marten documentation retrieval with caching, search, and progressive narrowing tools.

Category
Visit Server

README

Marten Docs MCP Server

Local MCP server for focused Marten documentation retrieval.

It caches https://martendb.io/llms-full.txt, builds a local index, and exposes a narrow retrieval surface so agents search first, then progressively narrow to specific sections.

Quick install

macOS / Linux

# Install latest release
curl -fsSL https://raw.githubusercontent.com/stijnVanHorenbeek/marten_mcp/master/scripts/quickinstall.sh | sh

# Print a Copilot-compatible config snippet
curl -fsSL https://raw.githubusercontent.com/stijnVanHorenbeek/marten_mcp/master/scripts/quickinstall.sh | sh -s -- --client copilot

Windows PowerShell

# Install latest release
& ([scriptblock]::Create((irm https://raw.githubusercontent.com/stijnVanHorenbeek/marten_mcp/master/scripts/quickinstall.ps1)))

# Print a Copilot-compatible config snippet
& ([scriptblock]::Create((irm https://raw.githubusercontent.com/stijnVanHorenbeek/marten_mcp/master/scripts/quickinstall.ps1))) -Client copilot

Example SKILL.md

Example SKILL.md is included

MCP config examples

OpenCode

{
  "mcp": {
    "marten-docs": {
      "type": "local",
      "command": ["marten-docs-mcp"],
      "environment": {
        "MARTEN_MCP_CACHE_DIR": "~/.cache/marten-docs-mcp",
        "MARTEN_MCP_STORAGE_MODE": "auto",
        "MARTEN_MCP_SQLITE_PATH": "~/.cache/marten-docs-mcp/cache.db"
      }
    }
  }
}

GitHub Copilot Chat

{
  "mcpServers": {
    "marten-docs": {
      "type": "local",
      "command": "marten-docs-mcp",
      "args": [],
      "env": {
        "MARTEN_MCP_CACHE_DIR": "~/.cache/marten-docs-mcp",
        "MARTEN_MCP_STORAGE_MODE": "auto",
        "MARTEN_MCP_SQLITE_PATH": "~/.cache/marten-docs-mcp/cache.db"
      },
      "tools": ["*"]
    }
  }
}

MCP tools

  • search_docs(query, limit?, offset?)
  • search_within_page(path, query, limit?, offset?)
  • list_headings(path)
  • read_section(id, segmentIndex?, offset?, maxChars?) (returns one local segment plus compact neighbors.before/after refs)
  • read_context(id, before?, after?) (nearby refs only)
  • list_pages(prefix?, limit?) (discovery only when search is insufficient)
  • get_status()
  • refresh_docs(force?)

Recommended retrieval flow

  1. search_docs(...)
  2. Narrow with list_headings(...) and/or search_within_page(...)
  3. Read one chunk with read_section(...)
  4. Use read_context(...) only for nearby references

Broad page dumps are intentionally unsupported.

1. search_docs(query="aggregate projections", limit=3)
2. search_within_page(path="/events/projections/aggregate-projections.md", query="lifecycle", limit=3)
3. read_section(id="<id>", offset=0, maxChars=1200)
4. read_context(id="<id>", before=1, after=1)
5. repeat read_section(..., offset=<nextOffset>) while hasMore=true

Companion docs

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured