Fulcra Context
This MCP server provides access to Fulcra Context personal data through the Fulcra API, enabling AI assistants to retrieve health metrics, workout data, sleep cycles, location information, and user profile details with OAuth2 authentication. Built by Brandon Creighton at Fulcra Dynamics using Python with FastMCP and FastAPI, it operates in both stdio mode for local connections and HTTP mode for remote access via a public instance at mcp.fulcradynamics.com, handling OAuth2 token exchange while maintaining security by not leaking tokens to MCP clients. The implementation offers tools for querying time-series health data, retrieving workout summaries, analyzing sleep patterns, accessing location history with reverse geocoding, and browsing available metrics catalogs, making it valuable for personal health analysis, fitness tracking integration, location-based insights, and any use case requiring structured access to personal quantified-self data from Apple Health and other connected sources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/fulcradynamics/fulcra-context-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Fulcra Context from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.