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OpenContext

by codeforanchorage
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Python
Hybrid

OpenContext

License: MIT Python 3.11+ MCP Compatible

Quick Start

# 1. Configure (create config, enable one data source)
cp config-example.yaml config.yaml
# Edit config.yaml - set enabled: true for one plugin

# 2. Test locally
pip install aiohttp
python3 scripts/local_server.py

# 3. Deploy
./scripts/deploy.sh

Connect via Claude Connectors (same steps on both Claude.ai and Claude Desktop):

  1. Go to Settings → Connectors (or Customize → Connectors on claude.ai)

  2. Click Add custom connector

  3. Enter a name (e.g. "Boston OpenData") and your API Gateway URL

Get the URL: cd terraform/aws && terraform output -raw api_gateway_url

See Getting Started for full setup.

Related MCP server: mcp-arcgis-tulsa

Documentation

Doc

Description

Getting Started

Setup and usage

Architecture

System design and plugins

Deployment

AWS, Terraform, monitoring

Testing

Local testing (Terminal, Claude, MCP Inspector)

Examples

Contributing

Pre-commit hooks (optional):

pip install pre-commit
pre-commit install

Hooks: Ruff, yamllint, gofmt. Run manually: pre-commit run --all-files.

License

MIT — see LICENSE.

Author: Srihari Raman, City of Boston Department of Innovation and Technology

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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