akamai-docs-mcp

akamai-docs-mcp

MCP server for searching and retrieving Akamai TechDocs documentation using local BM25 keyword search with no external API calls.

Category
Visit Server

README

akamai-docs-mcp

A local MCP server over Akamai TechDocs, scoped to CDN, Security, DNS, and EdgeWorkers (Akamai Cloud is intentionally excluded — use the official akamai-cloud-mcp for that).

Docs are pulled from Akamai's own llms.txt indexes (Markdown-formatted page lists per product), so no HTML scraping is involved.

1. Install

python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt

2. Ingest the docs

python ingest.py

This downloads pages for every slug listed in config.py (currently: property-mgr, purge, adaptive-media-delivery for CDN; application-security, network-lists for Security; edge-dns for DNS; edgeworkers for EdgeWorkers) into docs_corpus/.

Useful flags:

python ingest.py --categories dns edgeworkers   # only ingest a subset
python ingest.py --limit-per-slug 15            # quick test run, few pages per slug

Re-run ingest.py any time to refresh the corpus — it overwrites existing files.

3. Test the server locally

npx @modelcontextprotocol/inspector python server.py

Try calling search_akamai_docs with something like "activate a security configuration version" or "edgeworkers subworker limits".

4. Wire it into Claude Desktop / Claude Code

Add to your MCP client config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "akamai-docs": {
      "command": "/absolute/path/to/.venv/bin/python",
      "args": ["/absolute/path/to/akamai-docs-mcp/server.py"]
    }
  }
}

Restart the client. You should see three tools available:

  • search_akamai_docs(query, category?, top_k?)
  • get_full_doc(path)
  • list_categories()

Adjusting scope

Edit PRODUCT_SCOPE in config.py to add/remove product slugs per category. Find a slug by visiting any TechDocs page for that product and looking at the "For AI agents" line at the top, which points to .../<slug>/llms.txt.

Notes

  • Search is BM25 keyword search (rank_bm25) — no embeddings, no external API calls at query time. Good enough for a PoC/demo; swap in a vector store later if recall becomes an issue on paraphrased queries.
  • This server is read-only and docs-only. For live account/API access (properties, DNS zones, security configs, EdgeWorkers deployments), pair it with Akamai's official MCP servers rather than extending this one.

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