Fulcra Context MCP vs Gget MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Fulcra Context MCP vs Gget MCP
In-depth architectural comparison of the Fulcra Context MCP and Gget MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Fulcra Context MCP
Biology, Medicine and Bioinformatics · Local stdio
Quality: 61/100 (Good) | Auth: OAuth 2.0
Gget MCP
Biology, Medicine and Bioinformatics · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Verdict Summary: Choose Fulcra Context MCP if you need specialized Biology, Medicine and Bioinformatics tools running via a local process. Choose Gget MCP if your workspace requires Biology, Medicine and Bioinformatics integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Fulcra Context MCP when:
You need dedicated capabilities in the Biology, Medicine and Bioinformatics domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: OAuth 2.0 (BYOK (Pay Provider Direct)).
You have access to required keys: FULCRA_ENVIRONMENT.
MCP server for accessing personal health and biometric data including sleep stages, heart rate, HRV, glucose, workouts, calendar, and location via the Fulcra Life API with OAuth2 consent.
MCP server providing a powerful bioinformatics toolkit for genomics queries and analysis, wrapping the popular gget library.
Category & Scope
Tools & Capabilities Breakdown
Fulcra Context MCP Tools (25)
get_workouts
Get details about the workouts that the user has done during a period of time.
Result timestamps will include time zones. Always translate timestamps to the user's local
time zone when this is known.
annotations_catalog
Get the list of all annotation data types the user has defined.
This does not get the actual values the user has recorded; for that, use the `get_records` tool.
Use this tool to get the IDs and types to pass to `get_records`.
create_data_type
Create a user-defined data type so the user can track something new.
Choose base_type by what gets recorded: "moment" (a point in time),
"duration" (a time range), "boolean" (yes/no), "numeric" (a number,
optionally with a unit), or "scale" (a 1-5 rating with labels).
The new type appears in get_data_catalog, and recorded values are readable
with get_records. Creation is reversible with archive_data_type.
archive_data_type
Archive (soft-delete) a user-defined data type.
The type and its recorded data are recoverable with restore_data_type.
Only user-defined types (created via create_data_type or the Context app)
can be archived.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Fulcra Context MCP is categorized under Biology, Medicine and Bioinformatics and uses a local stdio subprocess. In contrast, Gget MCP belongs to Biology, Medicine and Bioinformatics using local stdio subprocess. Select Fulcra Context MCP when you need capabilities focused on biology, medicine and bioinformatics and Gget MCP when you require tools for biology, medicine and bioinformatics.
Record a single record for a recordable data type.
Use get_data_catalog to find data types; user-defined ones use the
"<BaseType>/<uuid>" ID form (create new ones with create_data_type).
Recorded data can be read back with get_records.
get_data_catalog
Get all data types available for this user, grouped by relevant MCP tool.
Includes health and sensor measurements,
location, events, and user-defined annotation types.
Call this before requesting time-series data or raw records, and only use a
data type with the tools named in its group.
get_time_series
Get calculated per-interval time-series values for a single data type.
Only data types that `get_data_catalog` lists as usable with this tool are
supported; other types can be read with `get_records`. Result timestamps
include time zones; translate them to the user's local time zone when known.
get_records
Retrieve the raw records of any data type during a time period.
Works with every type listed by `get_data_catalog`, including user-defined
ones ("<BaseType>/<uuid>" IDs); the correct API endpoint is chosen
automatically. Records that cover a time range are included when any part
of it intersects the requested window. Results are raw samples — they may
come from multiple sources and can overlap; for calculated per-interval
values of numeric data types, prefer `get_time_series`. Result
timestamps include time zones; translate them to the user's local time
zone when known.
get_data_updates
Summarize the data that arrived in the user's account during a period of time.
The time range filters on when records were processed/synced into Fulcra,
NOT on the records' own timestamps — e.g. last night's sleep records
typically arrive this morning. Use this to find out what new data exists
since a previous check, then query the changed types with the appropriate
tools.
get_sleep
Return the user's sleep data at a chosen level of detail.
Pick the coarsest level that answers the question — results grow with detail:
- "aggregate": stage totals per period (default 1 day), one row per period
per stage. Best for multi-day questions ("how did I sleep this month").
- "cycles": one row per sleep session.
- "stages": every stage interval (the full hypnogram); single-night detail.
Sleep spans midnight (starts day N, ends day N+1) — extend the time range
accordingly. Stage integers: 0=In Bed, 1=Asleep/Unknown, 2=Awake, 3=Light,
4=Deep, 5=REM. Result timestamps include time zones; translate them to the
user's local time zone when known.
get_location_at_time
Gets the user's location at the given time.
If no sample is available for the exact time, searches for the closest one up to
window_size seconds away.
Result timestamps will include time zones. Always translate timestamps to the user's local
time zone when this is known.