Skip to main content
Glama
Cesario121125

mr-model MCP Server

mr-model MCP Standalone Service

The MCP (Model Context Protocol) standalone service for the mr-model platform, split out from the main repository mr-model.

  • Main service (8866): mrmodel.cesario.top — Web/API/Membership/Payment/Push

  • MCP service (this repo, 8868): mcp.cesario.top — 5 Model Context Protocol tools

Why the split

Motivation

Details

Stable independent upgrades

MCP wants its own iteration cadence, not blocked by main-site PRs

Future Tencent Cloud migration in China

Must split the repo first, otherwise migrating main site + MCP together doubles the cost

Business already 90% independent

systemd / port / domain / Caddy / Restart already independent, only the code repo + venv remain

Repository structure

mr-model-mcp/
├── .env.example          # 环境变量模板(真实 .env 不入库)
├── README.md             # 本文件
├── requirements.txt      # 5 个精简依赖
├── deploy-mcp.sh         # 拉码/venv/语法/restart/verify/失败回滚
├── backend/
│   ├── mcp_server.py     # 1081 行,5 tools
│   ├── mcp_auth.py       # Bearer token 鉴权
│   ├── database.py       # 最小版(只 get_connection)
│   ├── user_service.py   # 最小版(只 _now_cst)
│   ├── membership_service.py  # 最小版(只 get_active_membership)
│   ├── agent_service.py  # 最小版(只 _labelize_text)
│   ├── config.py         # 最小版(MCP 需要的常量)
│   └── mrmodel_common.py # = 复制自主仓 addons/_mcp_shared/mrmodel_common.py
└── deploy/
    ├── mr-model-mcp.service  # systemd unit
    └── mcp.cesario.top.conf  # Caddy 反代配置

Shared code with the main repository

backend/mrmodel_common.py is a copy from the main repo backend/addons/_mcp_shared/mrmodel_common.py.

Pragmatic DRY strategy: the main repo is the source, the MCP repo is the copy, manually synced via cp (see [[../mr-model/docs/mr-model-扩展包架构方案-2026-08-19]] §C).

Each time the source changes in the main repo:

  1. Main repo commit + push

  2. cp backend/addons/_mcp_shared/mrmodel_common.py ../mr-model-mcp/backend/mrmodel_common.py

  3. MCP repo commit + push

  4. Deployment order: main repo deploy first (schema may change) → then MCP repo deploy-mcp.sh

Development (local)

# 准备 venv(首次)
python3 -m venv venv
venv/bin/pip install --upgrade pip
venv/bin/pip install -r requirements.txt

# 启动(默认 127.0.0.1:8868)
cp .env.example .env   # 按需改 DATABASE_PATH 指向主仓 DB
venv/bin/python3 backend/mcp_server.py

# 健康检查
curl http://127.0.0.1:8868/healthz

Deployment (A1)

# 首次部署
sudo cp deploy/mr-model-mcp.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable mr-model-mcp
bash deploy-mcp.sh   # 第一次跑会建 venv(60-120s)

# 后续升级
bash deploy-mcp.sh

deploy-mcp.sh 7 steps: backup service → pull code → venv → syntax check → restart → health check → rollback on failure.

Troubleshooting

Symptom

Investigation

8868 won't start

journalctl -u mr-model-mcp -n 50 to check systemd logs

healthz not 200 within 5s

deploy-mcp.sh auto git revert + restart

All 5 tools return 401

No valid token in main repo sessions table (log in to main site to get a token first)

SQLite lock

Uses main repo mrmodel.db, concurrency already covered by busy_timeout=15s

Caddy 502

systemctl status caddy + caddy reload

The 5 MCP tools

Tool

Purpose

query_video_list

Query video list by blogger/tag/time window

query_comments

Query video comments (with likes/time/AI tags)

search_video_transcripts

Full-text search over video OCR text

search_videos

Comprehensive search (title/description/tags)

query_blogger_opinions

Query blogger historical opinions (for dialectics)

See the docstring of each tool in backend/mcp_server.py.

Maintenance

  • Version: follows the main repo cadence, no independent version number

  • Rollback: git revert HEAD + bash deploy-mcp.sh

  • Monitoring: main repo mcp_addon /api/_addon/mcp/healthz probes 8868


Created on 2026-08-19 (mr-model B-tier MCP split)

-
license - not tested
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

  • A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…

  • MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.

  • A Model Context Protocol server for Wix AI tools

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cesario121125/mr-model-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server