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Explorer/MCP/benzsevern/infermap
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InferMap

benzsevern/infermap

Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.

4 tools available
benzsevern/infermapExternal link; availability not verified
The Journeyman with a Quirk
Some history here. A few things flagged; nothing serious, but we wanted you to know.
Time indexed (4mo)
4toolsRemote/ HTTP4moindexed1signal
Checked Aug 16, 2026
Quality Score
29/95
Emerging
Risk Score
6/100
Low
How is this calculated?
Quality Breakdown
Tenure13.1/20
120 days indexed
Capability15.6/25
Tools: 3.6/13 (4 tools)
Description: 5/5
Endpoint: 7/7
Adoption0/25
Use count: 0/20 (0 uses)
Multi-registry: 0/5 (1 registry)
Reliability0/25
Currently live: 0/10
Uptime history: 0/15 No checks yet
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Incomplete Data Cap (60)
Usage data is not available for this server. Quality is capped until adoption can be measured.
Risk
6Low
See Security Signals section for details.
The scanner shows
4 tools. Registry verified. A few things worth knowing about. Check the details below.
First indexed Apr 18, 2026
Security Signals1 rule group · 1 finding
No authentication requiredHigh
Server responded without authentication
Server Profile
Tools catalogued
4
4 tools available. Full list below.
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
Registry presence
Verified
Listed on the Official MCP Registry under Linux Foundation governance.
Liveness
No liveness checks recorded yet.
Publisher Verification
✓ Listed on the Official MCP Registry under Linux Foundation governance.
Published version: 0.3.5
benzsevern/infermapExternal link; availability not verified
Connect to this server
STREAMABLE-HTTP
https://infermap-mcp-production.up.railway.app/mcp/
Tools (4)We asked this server directly for its tool list on Jun 2.
map
Map source columns to target schema using a weighted scorer pipeline with optimal 1:1 assignment. Returns mappings with confidence scores and human-readable reasoning.
inspect
Inspect a data source — show fields, types, sample values, null rates, unique rates, and statistics.
validate
Validate that a source file's columns satisfy a saved mapping config. Reports missing source columns and unmapped required fields.
apply
Apply a saved mapping config to a source CSV, renaming columns according to the mapping and writing the result to an output file.

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