SciComp Docs Agent
MCP server for searching and querying Aalto SciComp documentation (Triton HPC guides). Provides tools for finding pages, reading docs, and searching content, usable by any MCP client without an LLM API key.
README
SciComp Docs Agent
Search and Q&A over Aalto scicomp-docs (Triton HPC and related guides).
Two ways to use this project:
| Use case | What you get | Needs LLM API key? |
|---|---|---|
| Web chat UI | Browser chat UI with tool-calling loop | Yes (Aalto gateway + VPN) |
| MCP server | Doc search tools for your own agent (Cursor, Claude, custom code) | No |
Both paths share the same Python tools in app/doc_tools.py.
Prerequisites
- Python 3.12+ or Docker
- Docs snapshot in
docs-source/(git submodule — required for both paths) - ripgrep optional for local dev (
brew install ripgrep); included in the Docker image - LLM API key only for the web chat UI
Clone
git clone --recurse-submodules https://github.com/AaltoSciComp/scicomp-docs-assistant.git
cd scicomp-docs-assistant
If you already cloned without submodules:
git submodule update --init --recursive
After a healthy clone, /api/health should report docs_present: true and index_pages in the hundreds (typically 300+). If index_pages is 0, the docs submodule is missing — see Troubleshooting.
Quick start: Web chat UI (recommended)
Browser-based agent that calls the same tools and cites https://scicomp.aalto.fi/.
Requires: Aalto VPN + API key from llm-gateway.k8s.aalto.fi.
Docker (recommended)
cp .env.example .env
# Edit .env and set LLM_API_KEY=your-key-here
docker compose up --build
Open http://localhost:8081 (host port 8081; container listens on 8080).
Local Python
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env # set LLM_API_KEY
uvicorn app.main:app --reload --port 8080
Open http://localhost:8080.
Using another LLM provider
The gateway client is OpenAI-compatible. Set in .env:
LLM_API_KEY=your-provider-key
LLM_BASE_URL=https://your-provider.example.com/v1
LLM_MODEL=your-model-id
The web UI and MCP can run together on the same server — MCP does not use the LLM.
Quick start: MCP only
Expose doc search to any MCP client. No LLM key, no VPN.
HTTP (Docker, recommended)
cp .env.mcp.example .env # optional; compose works without .env for MCP-only
docker compose up --build
MCP endpoint: http://localhost:8081/mcp/ (trailing slash required)
Verify:
curl -s http://localhost:8081/api/health | python3 -m json.tool
# expect: "docs_present": true, "index_pages": 300+ (approx), "llm_configured": false
Option B — HTTP (local Python)
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --port 8080
MCP endpoint: http://localhost:8080/mcp/
Option C — stdio (local MCP clients)
From the repo root, with dependencies installed:
source .venv/bin/activate # after pip install -r requirements.txt
python -m app.mcp_stdio
Cursor / VS Code client config (use your venv Python path):
{
"mcpServers": {
"scicomp-docs": {
"command": "/path/to/scicomp-docs-assistant/.venv/bin/python",
"args": ["-m", "app.mcp_stdio"],
"cwd": "/path/to/scicomp-docs-assistant",
"env": {
"DOCS_ROOT": "/path/to/scicomp-docs-assistant/docs-source",
"SKILLS_DIR": "/path/to/scicomp-docs-assistant/skills"
}
}
}
}
MCP tools
| Tool | Description |
|---|---|
find_pages |
Rank pages by title, headings, and path |
get_doc_outline |
Table of contents with line numbers |
search_docs |
Ripgrep over .rst / .md sources |
list_doc_tree |
Browse the docs folder tree |
read_doc |
Read a file with optional line range |
Prompt scicomp-docs-search — recommended search workflow (same as the web agent skill).
Resource scicomp-docs://skill/search — raw skill markdown.
Connect from any MCP client (HTTP)
{
"mcpServers": {
"scicomp-docs": {
"url": "http://localhost:8081/mcp/"
}
}
}
Clients that only support stdio (e.g. Claude Desktop) can proxy via mcp-remote:
{
"mcpServers": {
"scicomp-docs": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:8081/mcp/"]
}
}
}
Connect from Python
Install the MCP client SDK on the machine running your script (pip install "mcp>=1.19,<2"):
import asyncio
from mcp.client.session import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def main():
async with streamablehttp_client("http://localhost:8081/mcp/") as (read, write, _):
async with ClientSession(read, write) as session:
await session.initialize()
result = await session.call_tool("find_pages", {"query": "GPU sbatch"})
print(result.content[0].text)
asyncio.run(main())
Security:
/mcp/has no authentication. Bind to localhost or put a reverse proxy in front if exposing beyond your machine.
How it works (web agent)
- You ask a question in the browser UI.
- The LLM receives a search skill (
skills/scicomp-docs-search.md). - The model calls tools:
find_pages→get_doc_outline/search_docs→read_doc. - It answers with citations as published URLs on https://scicomp.aalto.fi/.
Updating the documentation snapshot
git submodule update --remote docs-source
docker compose up --build # rebuild image so docs-source is refreshed
Configuration
| Variable | Default | Description |
|---|---|---|
LLM_API_KEY |
(empty) | Required for web chat only |
LLM_BASE_URL |
https://llm-gateway.k8s.aalto.fi/api/v1 |
OpenAI-compatible base URL |
LLM_MODEL |
RedHatAI/gemma-4-31B-it-FP8-Dynamic |
Model id |
LLM_TEMPERATURE |
0.15 |
Sampling temperature |
LLM_MAX_TOKENS |
4096 |
Max completion tokens |
AGENT_MAX_TOOL_ROUNDS |
18 |
Max tool-calling rounds per chat turn |
DOCS_ROOT |
./docs-source |
Path to scicomp-docs tree |
DOCS_SITE_BASE_URL |
https://scicomp.aalto.fi |
Published site for citations |
SKILLS_DIR |
./skills |
Agent skill markdown files |
HOST |
0.0.0.0 |
Bind address (local uvicorn) |
PORT |
8080 |
Listen port (local uvicorn) |
Env templates:
.env.example— full template (web agent + MCP).env.mcp.example— minimal MCP-only (LLM_API_KEYempty)
Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
index_pages: 0 or docs_present: false |
Submodule not initialized | git submodule update --init --recursive, then rebuild/restart |
| MCP client can't connect | Wrong port or missing trailing slash | Docker: http://localhost:8081/mcp/ — local: http://localhost:8080/mcp/ |
| MCP works but tools return nothing | Empty docs-source/ |
Same as above; check health endpoint |
| Chat returns 503 “LLM_API_KEY is not configured” | Key not set | Add LLM_API_KEY to .env (not needed for MCP) |
| Chat errors / timeouts from LLM | VPN off or wrong gateway | Connect to Aalto VPN; verify key at llm-gateway.k8s.aalto.fi |
docker compose fails on .env |
Old Compose version | Upgrade Docker Desktop, or cp .env.mcp.example .env |
| Slow local search | ripgrep not installed | brew install ripgrep or use Docker |
| stdio MCP: “docs not found” warning | Wrong cwd or DOCS_ROOT |
Run from repo root; set DOCS_ROOT in client config |
Docker build: can't pull python image |
Docker Hub unreachable or rate-limited | Use a mirror, e.g. public.ecr.aws/docker/library/python:3.12-slim-bookworm |
Health check:
curl -s http://localhost:8081/api/health | python3 -m json.tool
Healthy MCP + docs: docs_present: true, index_pages > 0. Web chat additionally needs llm_configured: true.
Project layout
app/
main.py # FastAPI + SSE chat + MCP mount
mcp_server.py # MCP tools, prompt, resource
mcp_stdio.py # stdio entry point (`python -m app.mcp_stdio`)
agent.py # Tool-calling loop
doc_tools.py # search / list / read (shared by agent + MCP)
doc_index.py # Page/heading index for find_pages
config.py # Settings from .env
llm_client.py # Gateway HTTP client
static/ # Chat UI
skills/
scicomp-docs-search.md
docs-source/ # scicomp-docs git submodule
License
Documentation content belongs to AaltoSciComp/scicomp-docs. This agent wrapper is provided as-is for local use.
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