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Glama
janishkumar

h1b-sponsor-mcp

by janishkumar
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
company_sponsorshipA

Is a company still sponsoring H-1Bs, and how much? Returns trend tables.

Shows certified H-1B LCA filings for the last 6 months, the fiscal year so far and the
last full fiscal year (each vs the same period a year earlier), split into new
employment and transfers; green-card (PERM) certifications; USCIS petition
approvals/denials by fiscal year; and a denial-rate flag (Normal / Elevated / High)
relative to the national rate. Point out a High or Elevated flag to the user.

Args:
    company: Employer name as people say it, e.g. "Microsoft", "Amazon", "JPMorgan".
    role: Optional job filter, e.g. "data scientist", "machine learning",
        "software engineer". Matches job title and occupation title.
    state: Optional two-letter worksite state, e.g. "GA".
    city: Optional worksite city, e.g. "Atlanta".
compare_companiesA

Compare employers side by side: filings, trend, green cards, denial-rate flag, verdict.

Args:
    companies: Two or more employer names, e.g. ["Stripe", "Databricks", "Snowflake"].
    role: Optional job filter, e.g. "data scientist".
    state: Optional two-letter worksite state.
    city: Optional worksite city.
top_sponsorsA

Rank employers by certified H-1B filings (with denial-rate flags), for a role and place.

Args:
    role: Optional job filter, e.g. "data scientist", "data engineer".
    state: Optional two-letter worksite state, e.g. "GA".
    city: Optional worksite city, e.g. "Atlanta".
    months: Look-back window in whole months ending at the latest data (1-21).
    limit: Number of employers to return (max 100).
salary_rangeA

Offered H-1B wages for a role (percentiles and by experience level), last 12 months.

Args:
    role: Job, e.g. "data scientist", "software engineer".
    state: Optional two-letter worksite state.
    city: Optional worksite city.
    company: Optional employer to restrict to.
find_employerA

List the legal employer entities a name matches, so you can pick an exact one.

Args:
    query: Start of the employer name, e.g. "Deloitte" or "Amazon Web Services".
data_infoB

Which data the answers come from, the dates covered, and the caveats.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
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

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: metadata, single-company sponsorship, multi-company comparison, sponsor rankings, salary ranges, and employer-name resolution. Although compare_companies overlaps conceptually with calling company_sponsorship multiple times, the boundary is explicit and unlikely to cause misselection.

Naming Consistency3/5

All names use snake_case and are readable, but they mix verb-led names (compare_companies, find_employer) with noun-phrase names (data_info, company_sponsorship, salary_range) and an adjective-led name (top_sponsors). The naming is understandable but not a predictable verb_noun pattern.

Tool Count5/5

Six tools is a well-scoped set for H-1B sponsor research, with no obviously redundant tools. Each tool covers a meaningful operation without bloating the surface.

Completeness4/5

The set covers company sponsorship, comparisons, rankings, salary ranges, metadata, and employer-name resolution, which is strong lifecycle coverage for a read-only data lookup server. Minor gaps remain around raw filing-level detail or broader employer search beyond prefix-based entity resolution, but core workflows are covered.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources