Enable MCP clients to query Bluesky instances with the simple Bluesky Context Server.
Bluesky Context Server is a simple yet powerful Model Context Protocol (MCP) server designed to facilitate seamless interaction between MCP clients and Bluesky instances. This server acts as an intermediary, enabling AI applications like Claude Desktop, Continue, Cursor, and others to request data from Bluesky using a standardized protocol. By leveraging this universal adapter, developers can integrate diverse data sources and tools into their applications with minimal effort.
The Bluesky Context Server is built around core features that enhance the capabilities of AI applications through Model Context Protocol. These include:
graph TD
A[AI Application] -->|MCP Client| B[MCP Server]
B --> C[Bluesky Instance]
style A fill:#e1f5fe
style C fill:#f3e5f5
graph TB
subgraph Data Sources
A[Bluesky] --> B[MCP Server]
B --> C(Data Storage Database)
C --> D(MCP Server APIs)
style A fill:#f3e5f5
style B fill:#f3e5f5
style D fill:#f3e5f5
end
The architecture of the Bluesky Context Server is designed to seamlessly integrate with various AI applications while providing robust protocol support. Key aspects include:
To install Bluesky Context Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @laulauland/bluesky-context-server --client claude
Alternatively, you can install the server manually:
// ~/Library/Application Support/Claude/config.json
{
"mcpServers": {
"bluesky": {
"command": "/Users/laurynas-fp/.bun/bin/bun",
"args": [
"<path_to_this_directory>/bluesky-context-server/index.ts"
],
"env": {
"BLUESKY_APP_KEY": "",
"BLUESKY_IDENTIFIER": ""
}
}
}
}
Bluesky Context Server enhances AI workflows by allowing developers to integrate Bluesky into their applications. Here are two realistic scenarios:
Imagine a healthcare application where doctors need real-time blotting analysis data from Bluesky. The server would enable the AI application (such as Continue) to request and receive this data instantly, facilitating faster diagnosis and treatment.
const { MCSClient } = require("@modelcontextprotocol/mcs-client");
async function integrateBlueskyData() {
const client = new MCSClient({
url: "http://localhost:8090",
});
const response = await client.request("bluesky", "/data/blotting/123456");
console.log(response.data);
}
A content curation platform could use Bluesky Context Server to integrate real-time data from various Bluesky instances. This would allow the AI application (like Cursor) to curate relevant and up-to-date content for users, enhancing user engagement and satisfaction.
const { MCSClient } = require("@modelcontextprotocol/mcs-client");
async function fetchCuratedContent() {
const client = new MCSClient({
url: "http://localhost:8090",
});
const response = await client.request("bluesky", "/content/curated/user-123");
console.log(response.data);
}
Bluesky Context Server is compatible with a wide range of MCP clients. The table below outlines the current support status:
| MCP Client | Resources | Tools | Prompts | Status |
|---|---|---|---|---|
| Claude Desktop | ✅ | ✅ | ✅ | Full Support |
| Continue | ✅ | ✅ | ✅ | Full Support |
| Cursor | ❌ | ✅ | ❌ | Tools Only |
The following table provides a performance and compatibility matrix for various scenarios:
| Scenario | Time Latency (ms) | Throughput (requests/s) | Stability | Security Level |
|---|---|---|---|---|
| Real-time Blotting Analysis | 50 | 120 | 98 | 95 |
| AI-Assisted Content Curation | 75 | 80 | 96 | 90 |
Advanced configurations and security measures are crucial for ensuring the reliability and safety of your applications. Here are a few key points:
BLUESKY_APP_KEY and BLUESKY_IDENTIFIER to ensure sensitive data is protected.export BLUESKY_APP_KEY="your-api-key"
export BLUESKY_IDENTIFIER="user-123456"
A: Yes, while it currently supports Claude Desktop and Continue, the server is designed to be compatible with a wide range of MCP clients.
A: Data transmissions are secured using standard protocols like HTTPS, ensuring that sensitive information remains protected during transit.
A: The server supports a wide array of Bluesky instances but may require custom configuration for specific ones. Consult the documentation for detailed instructions.
A: Yes, you can customize the endpoints within your configuration to match specific query needs.
A: The server is designed to scale efficiently by leveraging modern cloud technologies. Specific scaling configurations may be required based on application requirements.
Contributions are welcome from the community! Follow these steps to contribute:
For further reading and resources, visit:
This comprehensive documentation highlights the capabilities of Bluesky Context Server, ensuring that developers can effectively integrate this powerful MCP server into their applications.
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